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Artificial Intelligence (AI) is developing exponentially fast. It is going to revolutionize most industries by offering a level of automation and precision no human could ever achieve. This means lots of new opportunities and applications we’ve never even thought of.
🎨 For instance, did you know an AI art generator won an art competition full of talented artists?
Even though not everyone needs to worry or care about AI, it’s worthwhile to learn some basic concepts and words associated with this field of computer science.
This is a beginner-friendly glossary of popular AI terms and concepts. Most terms on this list are basic AI jargon you might hear in news, at dinner tables, or at work. Make sure to keep up with the conversations by reading these terms!
Make sure to also read my complete guide to Artificial Intelligence!
Anyway, let’s jump into the list of AI words!
1. AIArtificial Intelligence or AI mimics the human intelligence process by using computer programs.
The idea of an AI program is that it learns similarly to humans. For example, an AI can drive a car, recognize images, detect images, and much more.
AI has become one of the 21st-century buzzwords. Notice that the term Artificial Intelligence is nothing but maths and probabilities under the hood.
You commonly hear people saying AI doesn’t use code. But this is far from the truth. All AI programs are written by data scientists and software developers using coding languages, such as Python. But the programs are crafted in a way that they are capable of making decisions on their own. So the actions taken by AI software are not hard-coded into the system.
2. APIAPI stands for an application programming interface via which developers can access data and pre-made code solutions.
In the artificial intelligence space, many companies and startups use APIs via which they can access third-party AI solutions. This can make building impressive AI applications super easy.
The concept of APIs explains why all of a sudden startups and individual developers seem to have some kind of AI superpowers.
This is why APIs are awesome. Instead of spending millions and millions in research, anyone can start an AI business with little to no cost.
For example, most of the impressive AI writing tools use OpenAI’s GPT-3 language under the hood via an API. When doing this, a company is just an intermediary between a customer and the AI provided by a third party.
These days, anyone with little technical skills can build impressive AI software over a weekend using the right type of API.
3. Big DataBig data refers to large data sets that are too huge to be processed in traditional data processing manner. Big data is a mix of structured, semi-structured, and unstructured data that organizations collect. Typically, businesses use big data to mine information from data to make better business decisions.
One example of using big data is machine learning and artificial intelligence. Artificial intelligence solutions rely on data. To train a powerful AI model, you need to run it through lots of data.
Big data is typically characterized by three V’s:
Volume. Big data consists of large volumes of data in multiple environments.
Variety. Big data systems store a broad variety of data.
Velocity. The velocity describes the rate at which data is generated, collected, and processed.
4. ChatbotChatbots or AI chatbots are a popular application of artificial intelligence. Many businesses use AI chatbots to streamline customer support services.
One common example of chatbots is when visiting a web page and a chat box opens up. If you type something, you’ll get an immediate response. This response is not written by a human, but by an AI chatbot.
An AI chatbot uses natural language processing techniques, such as sentiment analysis to extract information about the messages it receives. Then it uses a natural language processing model to produce an output that it predicts will best serve the recipient.
Chatbots are a central application of AI. They are getting better and better quickly as AI develops. These days it’s sometimes impossible to tell whether you are talking to a bot or to a human.
5. ClassificationIn machine learning, classification means a modeling problem where the machine learning model predicts a class label for some input data.
A great example of classification is spam filtering. Given an input message, the task of the machine learning model is to classify whether the message is spam or not.
Another example of classification is recognizing handwritten images. Given an image of a character, the machine learning model tries to classify the letter it sees.
To build a successful classifier, you need a big dataset with lots of examples of inputs and outputs via which the model can learn to predict the outcomes.
For example, to build a handwritten character recognizer, the model needs to see a vast array of examples of handwritten characters.
6. Composite AIComposite AI refers to a combination of AI techniques for accomplishing the best results.
Remember, AI is a broad term that governs subfields like machine learning, natural language processing, deep learning, neural networks, and more.
Sometimes the solutions aren’t achievable by using a single technique. This is why sometimes the AI solutions are built using a composite structure where multiple subfields of AI are combined to get the results.
7. Computer VisionComputer vision is one of the main subfields of artificial intelligence. A computer vision program uses image data to train a computer to “see” the visual world.
To make computer vision work, the program has to analyze and learn from digital images and videos using deep learning models. Based on the data, a computer vision program can classify objects and make decisions.
You might be surprised that the earliest experiments with computer vision AI were made back in the 1950s. During this time, the first neural networks were used to determine the edges of objects in images to categorize them into circles and squares. During the 1970s, a computer interpreted handwritten text with optical character recognition.
These four factors have made computer vision thrive:
Mobile devices with built-in cameras.
Increase in computational power.
Computer-vision-focused hardware.
New computer vision algorithms like CNN networks.
8. DALL-E 2DALL-E 2 is an impressive text-to-image algorithm that has gained massive attention in the recent past.
To put it short, DALL-E 2 works such that it takes a text input and outputs an image that describes the input. At the time of writing, DALL-E 2 isn’t publicly available. Instead, it has a waiting list with tens of thousands of accepted participants.
On a very high level, DALL-E 2 is just a function that maps text to images. But under the hood, it’s a lot more than that.
Unlike previous attempts in generating images from text, DALL-E 2 takes it to the next level. I recommend checking some of the pictures it has been able to produce. For instance, here is a Tweet from one of the creators of DALL-E 2:
DALL-E 2 uses artificial intelligence to convert text to images. To produce images, DALL-E 2 uses two techniques:
Natural language processing for analyzing the intent of the input text.
Computer vision creation for outputting an image that best matches the intent.
9. Data MiningData mining refers to finding patterns in data to predict outcomes. In other words, it’s the process of turning raw data into useful and actionable information.
Data mining involves lots of techniques businesses can use to:
Cut costs
Reduce risks
Increase profit
Enhance customer relationships
And more.
Data mining is also called “knowledge discovery in databases”, which is a lengthier yet more descriptive naming for the action. It’s a process of figuring out hidden connections in data and predicting the future with them.
The data mining process roughly follows these five steps:
Define business objectives. This is the phase of identifying the business problem and asking a lot of questions. During this phase, analysts sometimes have to conduct some research to better understand the business context.
Data preparation. When the problem is defined, data scientists determine the data set that helps answer the questions of the problem. During this phase, the data is cleaned up so that for example duplicates, missing values, and outliers are removed.
Data analysis. Data scientists try to look for relationships in the data, such as correlations, association rules, or other types of patterns. This is the phase that drives toward drawing conclusions and making decisions based on the data.
Result evaluation. After aggregating the data, it’s time to evaluate and interpret the results. During this phase, the results are finalized in an understandable and actionable format. With the results, companies can come up with new strategies and solutions to achieve their objectives.
10. Data ScienceData science is a broad study of vast volumes of data. A data scientist uses modern tools, techniques, and algorithms to:
Find unseen patterns
Discover insightful information
Make better business decisions
Data scientists use machine learning algorithms to create predictive models to extract information from the data.
The data being analyzed can come from different sources and have a variety of different formats. The data can be structured or unstructured.
Sometimes the data is already found in a data storage or database.
Usually, the data also needs to be obtained from somewhere, such as by scraping the web.
Here are some key concepts related to data science:
Machine Learning
Modeling
Statistics
Coding
Databases
Before learning data science, you should be familiar with these concepts and know how to use them.
11. Deep LearningA computer doesn’t understand what is learning as we humans do. To make a computer learn, it has to mimic the human-intelligence process of learning. This is where deep learning is used.
Deep learning is a machine learning subfield. Deep learning algorithms are used to teach computers how to learn by example.
A famous deep learning application is self-driving cars.
The deep learning algorithms that run under the hood can are taught to recognize objects on the road in real-time. These objects include:
Road signs
Pedestrians
Traffic lights
Traffic lanes
Other vehicles
Also, the voice control services are a result of clever deep-learning algorithms.
To make a deep learning algorithm work, you have to feed it a lot of labeled training data. The algorithm uses the data to train itself to recognize patterns.
For instance, with enough training data, you can teach a deep learning algorithm to recognize objects from images.
12. Ethical AIEthical AI refers to AI that refers to ethical guidelines related to fundamental values, like:
Individual rights
Privacy
Non-discrimination
Non-manipulation
The idea of ethical AI is to place importance on ethical aspects in specifying what is legitimate/illegitimate use of AI. The organizations that use ethical AI have stated policies and review processes to make sure the AI follows the ethical guidelines.
Ethical AI does not only consider things permissible by law but also thinks one step further. Another way to put it is if something is legal, it doesn’t mean it’s ethical AI.
For instance, an AI algorithm that manipulates people in self-destructive behavior that is legal doesn’t represent ethical AI.
13. Hybrid AIHybrid AI is a combination of human insight and AI, such as machine learning and deep learning.
This type of AI is still in its early development phase and has a bunch of challenges. But experts still believe in it.
Another description of Hybrid AI is that it’s a combination of symbolic AI and non-symbolic AI.
A web search is a perfect example of Hybrid AI. Let’s say a user types “1 EUR to USD” into a search engine:
The search engine identifies a currency-conversion problem in the search phrase. This is the symbolic AI part of the search engine.
The search engine then runs machine learning algorithms to rank and present the search results. This is the non-symbolic part of the search engine.
14. Image RecognitionImage Recognition is a subfield of Computer Vision and AI.
Image Recognition represents methods used to detect and analyze images to automate tasks.
The state-of-the-art image recognition algorithms are capable of identifying people, places, objects, and other similar types of elements within an image or drawing. Besides, the algorithms are able to draw actionable conclusions from the detected objects.
15. Linear AlgebraLinear algebra is the key branch in mathematics when it comes to artificial intelligence and machine learning algorithms.
Linear algebra deals with linear equations, vector spaces, and matrices. Another way to put it is that linear algebra studies linear functions and vectors.
Although you traditionally use linear algebra to model natural phenomena, it’s the key component of making machine learning algorithms work.
16. Machine LearningMachine Learning is one of the most well-known subfields of AI.
Machine learning is a field of study that focuses on using data and algorithms to simulate human learning. Machine learning programs rely on big data to learn patterns and relationships in them.
Behind the scenes, machine learning is nothing but a lot of basic linear algebra.
The simplest form of machine learning algorithm takes data and fits a curve to it to predict future values.
The process of the machine learning algorithm can be broken into three key parts:
Decision process. The algorithm makes a prediction or classification. Using input data the algorithm produces an estimate of patterns in the data.
Error function. The error function considers the “goodness” of the prediction made by the model. If you have known examples, the error function can compare the prediction to these examples to assess the accuracy.
Model optimization process. Depending on the outcome of the prediction made by the algorithm, you might need to adjust it. This is to reduce the error produced by the algorithm when comparing a prediction and a real example.
17. MidJourneyImage credit: MidJourney
MidJourney is a new AI art generator that turns text into an image. And not just any image, but a realistic, creative, or abstract masterpiece unlike we’ve never seen before!
MidJourney has become viral in the recent past thanks to its amazing AI art creations.
To use MidJourney, give it a text input from your deepest imaginations and it will turn it into an image.
Notice that at the time of writing the tool is still in beta mode and accessible through invitation.
MidJourney represents the new wave of AI text-to-image software. MidJourney has already won a real art contest!
But MidJourney is definitely not the only powerful AI art tool. Other similar solutions, such as DALL-E and Stable Diffusion are also making their way to the top of the game.
The best part about these AI art tools is that they are evolving so rapidly. You can expect them to only get better over time.
Make sure to check the best AI art generators—you’ll be impressed!
18. ModelModel is a commonly used term in machine learning—the key subfield of AI.
A model or machine learning model is a file that recognizes specific types of patterns from data. To create a machine learning model, you have to write an algorithm and train the model with it and big data.
The machine learning model learns from data and you can use the model to predict outcomes of future values.
For instance, you could make a machine learning model that predicts the highest temperature of the day given the temperature in the morning. You could train the algorithm with a linear regression model and a bunch of weather data points from the past.
19. Natural Language ProcessingNatural Language Processing (NLP) is one of the key subfields of AI. With NLP, a computer program can process text and spoken language in a similar fashion to us humans.
NLP makes it possible for humans to interact with computers using natural language.
Natural Language Processing combines:
Computational linguistics
Statistical modeling
Machine learning models
Deep learning models
When used in a clever way, a combination of these studies give rise to computer programs that are capable of understanding the full meaning of the text or spoken language. This means the programs can sense the intention and sentiment too!
NLP is useful in translations, responding to voice commands, text summarization, and more.
20. Neural NetworkA neural network is a subfield of deep learning, which is one of the key subfields of AI.
A neural network mimics the brain’s pattern recognition process. It’s a simulation of how biological neurons communicate in the human brain.
A neural network is formed by:
An input layer
One (or more) hidden layer
An output layer
The layers consist of nodes (artificial neurons). The previous layer’s nodes are connected to the nodes in the next layer. Besides, each node carries a weight and a threshold.
If the output of a node exceeds the threshold, the node is activated and it sends data to the next layer.
This is similar to how the neural activity in our brain.
When building a deep learning algorithm, a developer runs the training data through a neural network. The algorithm then learns to classify the training data based on neural network activations.
21. OpenAIOpenAI is an AI research lab and company.
OpenAI is one of the key players in the field. The company has developed a bunch of AI-powered programs and algorithms unlike seen before.
The two best-known examples of OpenAI’s AI algorithms are:
DALL-E. This AI algorithm allows for generating outstanding images based on text input.
GPT-3. This cutting-edge natural language processing model allows for creating human-like text based on a short input. It can write news, poems, short stories, or even books.
The best part of these AI models is that they are available to the general public.
Anyone can access GPT-3 and develop a super powerful text-generation app with a few lines of code. This happens through the GPT-3 API that OpenAI provides.
At the time of writing, DALL-E is not yet in general availability, but it is accessible via a waiting list and an invitation.
22. Optical Character RecognitionOptical character recognition or OCR (text recognition) extracts textual data from images, scanned documents, and PDFs.
The OCR algorithms work by:
Identifying all the letters in an image.
Putting the letters to words.
Putting the words into sentences.
OCR can use AI to create even more impressive methods for extracting text from images. Sometimes the AI-powered OCR is called ICR for Intelligent Character Recognition.
ICR can identify languages from writing or extract information in different styles of handwriting.
A typical OCR software helps save time and cut costs when it comes to turning physical documents into digital format. Instead of doing the work manually, you can take a picture and use OCR to scan its contents.
Make sure to read my article about the best OCR software.
23. Prompt EngineeringPrompt engineering is a relatively new term in the field of AI.
Prompt engineering refers to writing carefully thought text inputs for AI algorithms to generate the desired outcome.
The term prompt engineering is relevant when using:
AI text-to-image generators
AI text generators
For example, an AI text-to-image generator might produce rather unimpressive results if the text input is not descriptive and specific enough.
To use AI to generate impressive images, videos, or text, you need to be careful when giving input.
For instance, you might need to drop a name of an artist, era, painting style, and such. You also might need to insert some technical terminology in the prompt to give the imagery a specific type of look.
Prompt engineering might be the career of the future.
24. SingularityIn the field of AI, singularity refers to the event where the AI becomes self-aware and starts to evolve on its own out of control.
But don’t worry just yet. The modern-day AI isn’t very smart compared to the human brain.
Even though singularity is not a reasonable present concern, it’s definitely something we have to be careful about in the future. The rapid developments in computing and technology might make AI dangerous or destructive.
The developments of AI must focus on making AI our friend, not our enemy.
25. Speech RecognitionSpeech recognition is a popular application of artificial intelligence.
The idea of speech recognition or automatic speech recognition (ASR) is for a computer program to pick up on the spoken words and turn them into text.
Many speech recognition services use AI algorithms to process spoken language. They utilize the composition of audio and voice signals to process speech.
There are many speech recognition algorithms, including natural language processing techniques and neural networks.
The ideal AI-based speech recognition system learns as it goes. This makes the tools more accurate over time.
26. Strong AIStrong AI is a theoretical level of artificial intelligence where the AI is as intelligent as humans and is self-aware. Moreover, a strong AI system would be able to solve problems, learn new skills, and plan the future—like we humans do.
Strong AI is commonly known as artificial general intelligence or AGI for short.
It’s up for debate if we’ll ever reach this level of AI. Some optimistic researchers claim this type of AI is not further than a couple of decades away from us. Others say it will never be achieved. Only time will tell.
27. Turing TestThe turning test is a test that determines whether a machine has human-like intelligence.
If a machine can have a conversation with a human without being detected as a machine, the machine has passed the Turing test—or shown human intelligence.
The Turing test was proposed by Alan Turing back in 1950.
Even with the impressive and rapid developments in the field of AI, no machine has ever passed a Turing test. But it’s getting closer.
The main motivation and theories of AI all evolve around the concept of passing a Turing test. This is why you commonly hear people talking about the Turing test or passing it.
28. Weak AIWeak AI is an approach to AI research and development in which AI is considered to only be capable of simulating the human intelligence process.
Weak AI systems aren’t actually conscious.
Weak AI is bound by the rules developed for it and cannot autonomously go beyond those rules.
A great example of weak AI is a chatbot. It appears to be conscious and answers intelligently. But it cannot go beyond that.
As a matter of fact, all modern-day AI solutions are examples of weak AI.
Weak AI is also commonly called narrow artificial intelligence.
ConclusionSo there you have it—a whole bunch of AI jargon you might hear every day!
To put it short, AI or artificial intelligence is a rapidly developing subfield of computer science. AI is already used in impressive applications and it can carry out tasks unlike ever before. Only time will tell what the future holds for AI and us living with it.
Thanks for reading!
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Glossary: Gaming Terms And Their Meanings
New to gaming and not sure what all this jargon people are throwing around means? Actively gaming and still not sure what non-insult thing that other guy in your lobby just said?
We have you covered – this is a glossary of common gaming terms you may come across. If you’re looking for more hardware-specific stuff, you may also want to check out our PC Hardware Glossary.
AAA GameA game developed and published by a large studio with a massive multi-million dollar budget. A game being AAA in production value does not actually mean it’s a AAA experience, though – this term is used to refer more to money and marketing than the actual quality of a game. AAA titles usually have great graphics due to their high budgets, though.
Examples: Call of Duty, Assassin’s Creed, Far Cry
Action Game“Action” is a very widely-encompassing genre, but broadly-speaking, action games are focused on controlling no more than a few characters in real-time action sequences. Many sub-genres of action games exist, but a few particularly notable genres include beat-em-up and stylish action.
Notably, shooters are considered a separate genre from action in a gaming context. Most action games focus on melee combat as a stable and aren’t played in first person.
Examples: Devil May Cry, Streets of Rage
Adventure GameExamples: Grim Fandango, Escape From Monkey Island, The Walking Dead (and other Telltale games)
AimbotAn aimbot refers to a cheater, usually an automated bot and not a human player, who is using cheats to achieve perfect aim. Some aimbots will be extremely obvious, but others may be using more subtle cheats (like subtle aim correction) that are harder to catch.
Arena ShooterArena shooter is a sub-genre of first-person shooters focused on high player mobility, powerups, ammo pickups, and map control. If not completely absent, randomized elements are minimized, and newer game design quirks (like cooldowns on abilities) are usually not present.
Examples: Quake, Unreal Tournament
Augmented RealityAugmented Reality, or AR, is pretty much exactly what it sounds like. Using a camera or HMD (head-mounted display) and AR, you can see an altered view of the world around you. Outside of gaming, this has become very popular for social media applications. Within gaming, mobile gaming especially, AR has proven quite successful, especially with titles like Pokemon Go.
Battle RoyaleA genre of MMO (massively multiplayer online) game where you and between 50 and more than 100 other players are put into a single massive battlefield to scavenge for resources and duke it out. This has become an especially popular genre of game in recent years, and chances are high you or someone you know already plays one of these games.
Examples: DayZ, Fortnite, PlayerUnknown’s Battlegrounds, Apex Legends
BotsWhen you hear “bots”, you’ll most likely hear it in one of two different contexts.
In the negative context, “bots” is used as a shorthand for aimbots and other cheating bots.
In a positive or neutral context, “bots” just refers to actual bots programmed into a given game. Depending on the game, the built-in bots can be extremely sharp or mind-numbingly stupid. Outside of single-player, these bots can often be found padding out the numbers on an inactive multiplayer server.
Co-OpA genre of game where more than two players work together to achieve common goals, usually against in-game enemies and opposition. This is usually considered separate from team-based games, especially team-based shooters. (You may be cooperating with other players, but no one is going to call CS:GO a co-op game.)
Examples: It Takes Two, Don’t Starve Together
Cross-PlatformWhen a game offers online multiplayer for more than just one platform.
For example, Super Smash Bros. Ultimate on Nintendo Switch is NOT cross-platform, since it’s a Nintendo-owned property. You can get it running on PC with emulation, but this still doesn’t permit playing with actual Switch owners.
Fortnite IS a cross-platform game, though. You can play it on compatible smartphones, every current-gen gaming console, and PC, and with other people playing on other platforms. A cross-platform game is an ideal choice when you want to play games with friends who don’t have the same PC specs or console you do.
DLC (Downloadable Content)Downloadable Content, or DLC, is mostly what it sounds like. However, most DLC is usually content that you have to pay extra for, and this can vary from a few dollars to the price of another full game.
Content included in DLCs can range from minor cosmetic alterations, to new playable characters, to full game expansions. Be sure to do your research before buying DLC – it isn’t all made equal!
DRM (Digital Rights Management)DRM, or Digital Rights Management, refers to software meant to limit piracy and other forms of copyright infringement. Most game clients are a form of DRM. Steam is DRM, for instance.
However, some forms of DRM can be negative effects on in-game performance, and sometimes DRM can even make certain games unplayable after enough time. (i.e., a game with always-on DRM where the servers go down). For this reason, sites like GOG exist to sell DRM-free games.
EmulatorA piece of software that imitates a piece of hardware. In a gaming context, this means software that allows your PC or console to run games made for another console. Emulators have a lot of benefits that original hardware doesn’t, including the ability to run at higher resolutions and framerates.
eSportsThe scene of competitive gaming, as popularized by Dota 2, League of Legends, Counter-Strike, and other games. Broadly-speaking, eSports can be referred to just about any competitive game and its community, but thus far, successful eSports seem limited to MOBAs and FPS.
Fighting GameA screenshot of Mortal Kombat 11 – note the presence of two healthbars at the top of the screen, a staple of the genre.
A game where the focus is on two players having intense 1v1 fights, usually on a 2D plane. Some games may add more players or more characters-per-player (i.e. each character having 3 characters to tag in and out). Fighting games are notorious for their mechanical depth and dedicated communities.
Examples: Street Fighter, Tekken, Marvel vs. Capcom, Guilty Gear, Super Smash Bros.
F2P (Free To Play) FPS (Performance Metric)FPS as a performance metric refers to Frames Per Second, where more is better. This is tied closely to refresh rate, but the two aren’t exactly the same. You can find out more about how FPS and refresh rate impact your experience here.
A screenshot of a net_graph from Team Fortress 2, displaying current FPS and ping
FPS (First Person Shooter)Depending on the context, FPS can also refer to a shooting game played from a first-person perspective. Most modern shooters are FPS, but stuff like top-down shooters used to be a lot more common, especially in arcades.
Gamepad Hero ShooterA team shooter, usually first-person, that takes influences from MOBAs. These influences can usually be seen in the form of distinct roles (Tank, Healer, DPS) and cooldowns instead of ammo as a limiter of damage output.
Examples: Overwatch
LagUsed to refer to two separate phenomena.
The main (and more accurate usage) of the term “lag” is seen when playing online games. If the netcode or networking conditions are poor, players will experience delayed or dropped inputs, as well as visual stuttering and other issues. This is what most people mean when they say “lag.”
The other usage of the word “lag” is seen on the hardware level, especially when FPS drops below a steady average. If your game is running at a low or jittery framerate, the entire experience will feel less responsive or … laggy!
MMO (Massively Multiplayer Online)MMO is short for Massively Multiplayer Online and describes multiplayer experiences where dozens of players can be active at the same time. Not all MMOs are MMORPGs, but a lot of the most popular – like World of Warcraft – are.
Examples: World of Warcraft, Guild Wars, Every Battle Royale or MMORPG
MMORPGMassively Multiplayer Online Role Playing Game. It is a combination of MMO and RPG.
MOBA (Multiplayer Online Battle Arena)A team-based genre of competitive games, usually focused on destroying structures in enemy territory and played from a top-down perspective. With computer-controlled units a la real-time strategy and character customization a la RPGs, MOBAs offer a great deal of complexity while still being shockingly easy to understand for wider audiences.
Examples: Dota 2, League of Legends
NetcodeA term used to refer to the code that handles online multiplayer gaming. Broadly-speaking, bad netcode will be more prone to disconnections, dropped inputs, and other issues, whereas good netcode will have minimal, if any, noticeable issues.
P2W / PTW (Pay to Win)A game can be free-to-play, but it is made difficult to win until you spend money to buy weapons, power up, additional health points, gears, accessories, etc.
PlatformerA genre of game where the focus is on jumping through and exploring various locations and obstacle courses.
Examples: Super Mario, Celeste
PortWhen a game made for one system is made again for another, usually with minimal changes. If there’s a significant difference in power between the original system and the new system, this port may cut down on graphical features and content to run well. See Doom Eternal on Nintendo Switch as examples.
RemakeWhen a game made for one system is rebuilt from the ground up for another, with little if any reused assets. Not to be confused with””” a port or a remaster.
Example: Link’s Awakening (Switch)
RemasterWhen a game made for one system is made again for another, usually with improvements to existing assets and systems. Most remasters don’t offer a massive visual upgrade over the original game, but a few might.
Example: Metal Gear Solid HD Collection, Spyro Reignited Trilogy
ROMStands for “Read Only Memory” and refers to the ROM chips that stored the data in retro game cartridges. When someone talks about “ROMs,” they’re usually talking about digital copies of these games. You may also see “ISO” used in a similar context but for disc-based games.
RPG (Role-Playing Game)A game where the focus is primarily on character customization, story, and turn-based combat. A popular sub-genre of RPG is the “ARPG,” or Action RPG, where combat is played in real
time while still taking into account all the customization and statistical possibilities permitted by the game. Over time, RPG elements have found their way into more and more genres, creating many unique games.
Examples: Final Fantasy, The Witcher, Fallout
RTS (Real-Time Strategy)Games where you control units in real-time tactical battles, against either enemy players or in-game enemies. Usually controlled from a large-scale top-down perspective.
Examples: Starcraft, Age of Empires
SensitivityRefers to aim or camera control sensitivity. Use a tool like chúng tôi to keep this consistent between games.
StreamingIn the gaming context, “Streaming” refers to streaming a game from one machine to one or more other machines. This can be for the purpose of Twitch streaming to viewers or, say, using Remote Play Together with a friend. If you pay for Google Stadia or GeForce Now, you’ll be playing games streamed from their servers rather than your own machine.
Tactical ShooterA (usually first-person) team shooter with a heavy focus on realistic gunplay between small teams of players.
Examples: Counter-Strike, Valorant
TPS (Third-Person Shooter)A shooter that controls from a behind-the-back third-person perspective.
Examples: Gears of War, Fortnite
UltrawideA screen with a 21:9 aspect ratio, providing an ultrawide viewing experience. Not ideal for or supported by all games but very popular nonetheless.
VR (Virtual Reality)Image Credit: Filipe Leite on WikiMedia Commons
Christopher Harper
I’m a longtime gamer, computer nerd, and general tech enthusiast.
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Top Books On Python For Beginners And Advanced (2023)
Best Python Books to Learn Business Finance
Python is a wide-spread programming language very commonly used for coding nowadays. It is an object-oriented and functional programming language. Learning python benefits students and developers in the fields of data science, machine learning, and software development. This list of python books will guide students and professionals to build a strong base in python. Even kids can start learning from them at an early age. These python books have explanations and examples for helping their readers understand the topics better.
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Let us now review python books in detail.
Book #1 Mastering Python NetworkingAuthor: Eric Chou
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Review: Key Points:
This book comprises the methods to unlock the potential of Python libraries to address tough network problems.
It is the best choice to learn the method of leveraging Python for SDN, DevOps, and network automation.
This book is most useful for a Programmer or a Network Engineer who wants to learn Python for networking.
Book #2 Python Data Science HandbookAuthor: Jake VanderPlas
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Review:This book is an excellent choice if you want to refer to data science and data analytics tasks. The book uses Jupyter, which is very easy to read. Every chapter contains illustrations with well-designed examples. The author seems to have the gift of providing explanations with clarity.
Key Points:
This book is a great source of various pieces of the data science stack, such as Scikit-Learn, Matplotlib, Pandas, NumPy, and IPython.
This book comes in handy for data crunchers and working scientists who work in Python code.
The book is a ‘must-have’ for readers who are doing scientific computing in Python.
Book #3 Python TricksAuthor: Dan Bader
Review:This book strikes a perfect balance between real-world solutions and in-depth explanations. The content is lucid and thorough but in an informal manner. The author drives into sufficient details while not over-explaining concepts to the extent that they become slow and frustrating.
Key Points:
After each section, there is a brief recap that explains the rules of thumb that need following. This serves to remove any uncertainty.
If you have experience working in other programming languages or you have worked with legacy versions of Python, this book is most suitable for you to come up to speed with modern features and patterns.
This book reveals the best practices in Python and the potential of the Pythonic code with a step-by-step narrative.
Book #4 Python for KidsAuthor: Jason R. Briggs
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Review:Children who use this book find programming accessible and enjoyable, and they begin to generate ideas for making games. This book is well-written, consists of excellent topics, and renders a plethora of examples. There is a very good balance between support (help and explanations) and challenge (concepts and coding tasks).
Key Points:
This book is introductory to Python programming and comprises illustrations and kid-friendly examples.
Kids can build a game and create drawings with Turtle, Python’s graphics library after reading this book.
This book is a ticket for children aged 10 and more to the amazing sphere of computer programming.
Book #5 A Smarter Way to Learn PythonAuthor: Mark Myers
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Review:This is a great guide that makes Python easy to learn due to digestible chapters, which make you confident to work on projects. After each chapter, there are online quizzes to test readers. Proves exist that this is a great way for a totally-new coder to embark on the Python journey.
Key Points:
This book uses ‘interactive recall practice’ as the key teaching method.
Washington University states that this method augments learning performance by 400 percent.
This book has approximately 1,000 interactive exercises, which are online and free.
Book #6 Python CookbookAuthor: David Beazley
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Review:This book is one of the best resources to learn to write lean code in Python 3. Learners of this book know how to avoid writing unnecessary long code and falling into traps. It is a fast-paced Python book.
Key Points:
This book is full of practical examples written in Python 3.3, which is suitable for experienced Python programmers who are searching for content that has modern tools.
The recipes in this book cover an extensive range in scope and difficulty, which begins from simple string concatenation to the creation of BNF recursive parsers.
This book is the optimum choice if you want to update Python 2 code or need assistance to create programs in Python 3.
Book #7 Python for Data AnalysisAuthor: William McKinney
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Review:McKinney has clear experience and vision for the pandas framework. He has nicely explained the main function and inner workings of NumPy and pandas. This is a very practical book that has a plethora of examples, which can be best leveraged by being on the keyboard while reading this book.
Key Points:
This book is a modern introduction that deals with scientific computing in Python, which enables readers to know data-intensive applications.
It consists of complete instructions to manipulate, process, clean, and crunch datasets in Python.
Python programmers who are novices in scientific computing and analysts new to Python can use this book.
Book #8 Python Crash CourseAuthor: Eric Matthes
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Review:The structure of this book is such that the difficulty level increases gradually as you proceed forward. Each chapter in the book has exercises at the end, which enable cementing the content. Real Python has chosen this book as one of the best for those who want to learn Python.
Key Points:
This book introduces Python programming in a thorough, quick-paced manner with the result that you can write programs, solve problems, and make things work in no time.
This book is ideal for those who want to learn fundamental programming concepts, such as loops, classes, dictionaries, and lists.
The exercises will ensure that you can write clean and readable code and make programs interactive.
Book #9 Hands-on Machine Learning with Scikit-Learn and TensorFlowAuthor: Aurelien Geron
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Review:This book teaches readers not only various tools but also the framework that you can apply to a specific issue and the method of thinking about what you want to do in each project. The coding exercises cement your learning and restrict readers from outpacing themselves.
Key Points:
This book uses two production-ready Python frameworks (TensorFlow and Scikit-Learn) to develop an intuitive understanding of the tools and concepts essential to building intelligent systems.
You can learn a gamut of techniques, beginning from simple linear regression and terminating deep neural networks.
Even if you know nothing about machine learning, this book helps you to leverage simple and efficient tools for program implementation that are capable of learning from data.
Book #10 Python ProgrammingAuthor: John Zelle
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Review:This book explains tough concepts at a good speed with pertinent examples. It fulfills two aims: introducing readers to computer science and then introducing them to Python as the first programming language.
Key Points:
The design of this book is such that one can select it as a primary textbook in the first course of computing at the college level.
This book teaches the core skills of computer science traditionally with an emphasis on programming, design, and problem resolution.
The most crucial modification in this edition is that a majority of the uses of eval were removed and a discussion of its dangers added.
Emoji Campaign Marketing For Beginners
How to use emojis for social and email marketing success
With more than 60 million emojis sent each day and 2,666 emojis in the Unicode Standard to choose from it’s hard not to notice the popularity of these small icons. Emojis are no longer limited to text messages. Emojis are everywhere in movies, marketing campaigns, clothing, emails and even as bank passwords. But before you start packing emojis into your campaigns, we consider the best ways to incorporate emojis into your marketing strategy.
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Who uses emojis?Emojis are not for everyone, you need to fully understand your target audience before you start including emojis in your content. According to Sproat Social, 60% of women use emojis frequently compared to 41% of men. They also reported that 75% of men and 84% of women respondents believe emojis are a better way to express their emotions than words.
Emogi have broken emoji users down into three groups light, medium and heavy users. “Heavy” mobile users are female, younger, and highly engaged with emojis. Over 50% of their messages will include a emoji and they would like to see more alternative emojis beyond the standard set. As we can see from this graph its not just millennials using emojis. Gen X and baby boomers are using emojis more and more as a form of communication.
Social media TwitterIncluding emojis in Tweets is shown to increase engagement by 25.4%. Larry Kim did a simple split test to see which paid ad performed best, (with or without emoji). The one with an emoji received a higher engagement rate. Consider doing this test for yourself to see how your audience responds before using emojis regularly in your content.
Even if emojis do increase your performance that doesn’t mean you will get it right. Take Sports Centre for example. They attempted using all emoji tweets to represent the length of the game because of the high-number of replays. This was highly misunderstood by their followers.
Goldman Sachs shared a tweet in March 2023 that looked at the spending habits of millennials. They condensed their findings into a series of emojis. People criticized the businesses for the message being unprofessional and misunderstood.
We might not always get it right, and sometimes it will require some trial and error. Test out tweets including emojis and evaluate the response.
FacebookThe most popular emoji used on Facebook last year that received the highest engagement was?. Consider the context for you featuring an emoji, and don’t sprinkle them in every update. Use them in the right context and stick to one or two.
InstagramOver 50% of Instagram captions now feature an emoji, its hard sometimes to find a caption not featuring an emoji. This will be due to over 50% of Instagram users being millennials. This Instagram emoji study shows that faces account for 6 of the top 10 emoji hashtags. Unsurprisingly, the hearts and hand gestures round out the top 10.
Instagram’s use of emojis is focused on communicating a mood or feeling to their followers. Of the 20,000 Instagram profiles examined by Quintly, 56% used emojis during 2023. According to AdWeek marketers are using emojis to appear more friendly and to tell stories in their marketing campaigns, tapping into the language their followers and fans use. AdWeek believes emojis are a necessity on Instagram.
Of the 2,000 existing emojis the most popular emoji was used nearly 50,000 times. If you plan to include new emojis in your posts it might improve the interactions you receive on videos and images.
AdvertisingOver the past few years, we have seen more emojis used by marketers in their campaigns. Marketers need to evolve with their customers, they need to use new technologies such as emojis if they want to truly understand and emotionally connect with their target audience.
Using emojis can help improve communication with your audience and keep a playful company tone of voice across your platforms. It has been found that emojis trigger the emotional parts of our brains, almost the same way as seeing a smiling face tends to trigger a reaction in our own feelings. Therefore using emojis can have a positive impact on your marketing efforts.
We have seen some brands taking emojis to another level and creating their own. Marketers are now harnessing emoji and creating an integrated experience around them. Brands like Loreal, Star Wars, Ikea and celebrities like Kim Kardashian have built their own emoji keyboards for fans to use on messenger, text and on social media.
If you plan on using emojis consider how they will engage your target audience first and if they will tell the right story. Future emoji marketing campaigns that will generate buzz will be the ones that communicate effectively and are authentic in their emoji usage.
EmailMost of us expect to see emojis on social media on or in messenger but when it comes to email some of us haven’t made the connection. A recent study compared the open rate of a subject line with an emoji and without a emoji. The animated subject line increased the unique open rate after 70 hours by over 20%. Experian have also reported that subject lines with symbols had a higher unique open rate of 56 percent.
MailChimp did an interesting study looking at the trends and usage of emojis in subject lines. They found the top 15 emojis used in emails and found that 31% of campaigns with emojis use more than one of them.
MailChimp recommends using emojis to convey meaning rather than as a gimmick. As screen sizes get smaller, senders need to find ways of including more information and emotion into shorter messages. Emojis are great for this.
Seasonal emojis are a great way to start using emojis and to visually boost your seasonal content. Consider using Christmas, Halloween or Easter to push your content and have fun with your emails.
Therefore, by using emojis or animations in your subject line, you can help you stand out in your subscriber’s fully loaded inbox. If your email marketing campaigns can communicate effectively through emojis and are authentic in their emoji usage, they may help re-engage your lost subscribers.
For now, emoji marketing is still generating buzz and you can find them everywhere on social media, television, and in print. But there are a few questions you should ask yourself before including them in your campaigns and content.
Do you know the meaning behind the emoji?Make sure you are using emojis in the right context and understand the different meanings of emojis. Using emojis can put your brand’s reputation at risk and can communicate a totally different message to what you initially planned. Here is a funny, but an unfortunate example.
Is it the appropriate time and place? Are they relevant?The biggest risk in using emojis, is your message getting lost in translation. Consider your audience first before including emojis. Don’t just stick an emoji in a tweet for the sake of it. Check the meaning, then consider if it’s relevant. If you want to ease your way into using emojis start with seasonal emojis or look at trending topics or national holidays to make your posts relevant.
Have you tested emojis in your marketing campaigns? Which marketing channel do you plan to target for testing emojis? If you want to see more examples of how brands have emotionally connected with their target audience using emojis check out these 5 examples.
Las 25 Mejores Series Disponibles En Netflix España (2023)
Como habrás podido intuir, en este artículo nos centraremos en las ficciones que podemos encontrar en Netflix. Para hacértelo todo más fácil, hemos reunido aquí las mejores series que puedes encontrar actualmente en la versión de Netflix para España.
Si te interesa una de estas series pero no está disponible en tu país, puedes acceder a la versión local de España utilizando una VPN como NordVPN. Consulta nuestro artículo de mejores VPN para ver contenido no disponible en tu país para más opciones.
Breaking BadArgumento: Protagonizada por Bryan Cranston, esta serie narra la historia de un profesor de química con cáncer terminal que, preocupado por la situación económica de su familia, decide asociarse con un ex alumno (Aaron Paul) para fabricar y vender metanfetamina.
Lo que dice la crítica: Considerada por muchos como la mejor serie de toda la historia, consiguió ganarse el favor de la crítica y el público sobre todo a partir de la segunda temporada. Fue galardonada como mejor serie en los premios Emmy y los Globos de Oro.
Nuestro planetaArgumento: A lo largo de ocho episodios, David Attenborough (o Penélope Cruz en la versión española) nos narra el impacto que ha tenido el ser humano en varios hábitats naturales, desde las junglas a los desiertos, pasando por el mar.
Lo que dice la crítica: Esta serie documental ha recibido críticas muy favorables y ha sido aplaudida por cómo explica el impacto de la deforestación o el cambio climático.
Así nos ven (When They See Us)Argumento: Esta serie cuenta los hechos que sucedieron en el parque Central Park de Nueva York en 1989 cuando cinco chicos afroamericanos fueron condenados por violar a una chica. Décadas después, se demostró que no habían sido ellos.
Lo que dice la crítica: Pocas series de 2023 han sido tan aclamadas como esta. La crítica destacó la capacidad de Ava DuVernay de añadir una capa de humanidad a una historia que intenta explicar el sistema judicial en América.
Black MirrorArgumento: Los creadores de Black Mirror se imaginan un futuro no muy lejano donde la tecnología llegará a dominar definitivamente la raza humana y en el que nuestros peores instintos serán puestos a prueba.
Lo que dice la crítica: Comparada con la mítica serie The Twilight Zone, esta producción británica consiguió captar en seguida la atención de la prensa por su originalidad, su atrevimiento y su capacidad de hacer chocar al público con la realidad.
NarcosArgumento: La serie cuenta la historia de cómo Pablo Escobar llegó a convertirse en el narcotraficante más poderoso del mundo, a pesar de la cruenta guerra que le enfrentaba a otros cárteles rivales y a los esfuerzos de la DEA para acabar con él.
Lo que dice la crítica: “Brillante”, “intensa”, “adictiva” son solo algunos de los adjetivos que la prensa ha utilizado para definir una serie que, sin duda, ha conseguido ganarse millones de espectadores alrededor del mundo. Tan exitosa que han hecho un spin-off: Netflix: México.
Peaky BlindersArgumento: Ambientada en el Birmingham de finales de los años treinta, Cillian Murphy encarna al líder de la banda criminal Peaky Blinders, a quien no le temblará el pulso a la hora de conseguir todo aquello que se proponga.
Lo que dice la crítica: Cinematografía e interpretaciones de Peaky Blinders han recibido halagos por igual por parte de una crítica que también ha destacado que la BBC se haya atrevido a tratar una parte de la historia británica poco representada en las producciones televisivas.
DarkArgumento: En la ciudad alemana de Winden, hace años que se están produciendo sucesos extraños. La historia principal se sitúa en 2023 y empieza con la desaparición repentina de Mikkel Nielsen.
Lo que dice la crítica: La primera temporada de Dark recibió elogios por parte de la crítica. Hay quien incluso la comparó con uno de los clásicos de ficción: Twin Peaks, y también con una de las mejores del momento: Stranger Things.
Line of DutyArgumento: El detective sargento Steve Arnott es transferido a la unidad AC-12 después de que el superintendente jefe Ted Hastings haya cometido un error durante una operación antiterrorista.
Lo que dice la crítica: A lo largo de sus casi diez años de emisión, Line of Duty se ha ganado el favor del público, la crítica y la industria, que ha nominada a varios premios importantes.
Stranger ThingsArgumento: Cuando el pequeño Will desaparece misteriosamente, los secretos del pueblo de Hawkins empezarán a aflorar y dejarán al descubierto los terroríficos experimentos científicos que el gobierno ha estado llevando a cabo durante años.
Lo que dice la crítica: Convertida en todo un fenómeno de masas, la serie original de Netflix no ha dejado de recibir favorables críticas de la prensa especializada, que han aplaudido sobre todo el homenaje de Stranger Things a la cultura pop de los años ochenta.
Gambito de damaArgumento: Ambientada en los años cincuenta y sesenta, Gambito de dama cuenta la historia de una joven prodigio del ajedrez, Beth Harmon. Con el objetivo de convertirse en la mejor jugadora del mundo, tendrá que lidiar también con otros problemas.
Lo que dice la crítica: Gambito de dama (o The Queen’s Gambit) fue un fenómeno a finales de 2023 y, de hecho, se convirtió en una de las más vistas de la historia de Netflix. Recibió también muy buena crítica de los expertos y destacaron la brillante actuación de Anya Taylor-Joy.
La maldición de Hill HouseArgumento: La serie cuenta la historia de la familia Crain y su relación con la famosa casa de Hill House. La trama se desarrollará dando saltos al pasado -cuando los protagonistas eran niños- y al presente -cuando ya son adultos-.
Lo que dice la crítica: The Haunting of Hill House -su título original- recibió buenas críticas desde que fue estrenada en Netflix. La han llegado a definir como la serie perfecta para una maratón con amigos y amigas por Halloween. También puedes ver The Haunting of Bly Manor.
MindhunterArgumento: Holden Ford y Bill Tench son dos agentes del FBI que se entrevistarán con varios asesinos en serie para intentar entender, con la ayuda de la psicóloga Wendy Carr, cómo funciona su mente y, con un poco de suerte, que sirva para resolver casos en el futuro.
Lo que dice la crítica: Medios de comunicación de prestigio como Time, The Guardian, The Independent, Vanity Fair o Vogue incluyeron esta producción protagonizada por Jonathan Groff en sus listas de mejores series de 2023. Los críticos destacan sobre todo la evolución de sus personajes en Mindhunter.
The CrownArgumento: Este drama basado en hechos reales empieza con la coronación de la reina Isabel II y te llevará por un viaje a lo largo de la segunda mitad del siglo XX, donde no faltarán historias de amor y desamor.
Lo que dice la crítica: Un producto extremadamente bien realizado, unas actuaciones estelares y una cinematografía excelente son tres de los aspectos que más han llamado la atención de la crítica de The Crown.
Derry GirlsArgumento: Erin, Orla, Clare, Michelle y James son cinco adolescentes que viven en Derry, en Irlanda del Norte. La serie nos cuenta sus aventuras siendo estudiantes de un colegio femenino de monjas católicas.
Lo que dice la crítica: Siendo la serie más vista en Irlanda del Norte, no extraña que Netflix decidiera comprar sus derechos de emisión internacional. De ella, se valora especialmente su autenticidad.
Creedme (Unbelievable)Argumento: Basada en el reportaje de T. Christian Miller y Ken Armstrong, Creedme cuenta la historia de varios casos de violación que acontecieron entre 2008 y 2011 en Estados Unidos. La serie se centra en una de las víctimas, Marie, y dos detectives.
Lo que dice la crítica: Otra serie aclamada de 2023 que trata sobre un caso real. Se ha destacado su relato desgarrador y bien narrado, que tiene por objetivo cambiar la forma en la que la sociedad juzga a las víctimas, convirtiéndolas muchas veces en culpables.
La asistentaArgumento: Después de escapar de una relación abusiva, una joven madre encuentra un trabajo limpiando casas. Y mientras tanto, tendrá que encontrar la forma de criar a su hija y construir un mejor futuro para las dos.
Lo que dice la crítica: La crítica ha aplaudido esta serie protagonizada por Margaret Qualley y muy especialmente la actuación de esta joven actriz.
Sex EducationArgumento: Otis Milburn es un estudiante de instituto a quien no le gusta llamar la atención, sobre todo cuando se trata de sexo. Lo tiene difícil, pues su madre es la terapeuta sexual del centro y eso le llevará a vivir situaciones de mucha ansiedad.
Lo que dice la crítica: La primera temporada de esta Sex Education fue muy bien recibida por público y crítica, que destacó el hecho de que una historia para jóvenes pueda entretener a adolescentes y adultos por igual. Destacan también la interpretación libre de estereotipos de Ncuti Gatwa.
La casa de papelArgumento: Asistimos al atraco de la Fábrica Nacional de Moneda y Timbre: un plan orquestado por ocho ladrones que quieren pasar a la historia y llevarse a casa 2.400 millones de euros. Para ello, tomarán los trabajadores de la fábrica y un grupo de estudiantes como rehenes.
Lo que dice la crítica: Poco más se puede decir de una serie como La casa de papel que ha sido nominada a varios Premios Feroz y Premios de la Unión de Actores y que ya ha sido nombrada como “la mejor serie española de la historia”.
Sense8Argumento: Ocho personas aparentemente sin conexión alguna y separadas por miles de kilómetros entre sí empiezan a experimentar sensaciones telepáticas que les permitirán vivir y recordar parte de las vidas de los otros.
Lo que dice la crítica: Pese a estar mejor valorada por el público que la crítica, lo cierto es tanto unos como otros coinciden en apuntar que las historias de los personajes y la manera en la que se entrelazan hacen de esta una serie a tener en cuenta.
The Good PlaceArgumento: Tras su muerte, Eleanor Shellstrop es enviada al “lado bueno”, un sitio donde solo va a parar la gente que, en vida, ha realizado buenas acciones. Sin embargo, ha habido un error y es que ella debería haber ido al “lado malo”. Ahora, deberá evitar que la pillen.
Lo que dice la crítica: Los expertos destacan sobre todo las grandes actuaciones de Kristen Bell y Ted Danson en The Good Place, que consiguen entretener y conmocionar al público a partes iguales, así como la valentía de haber tratado un tema de forma tan original por primera vez.
BodyguardArgumento: Richard Madden protagoniza esta serie. Se pone en el papel de David Budd, el guardaespaldas de la política del partido conservador británico Julia Montague, cuyos ideales se sitúan muy alejados de los de Budd.
Lo que dice la crítica: Bodyguard se convirtió en una de las series del año y arrasó en las varias ceremonias de premio. Madden se llevó el Globo de Oro y fue nominado a otros como el Critics’ Choice.
Orange is the New BlackArgumento: La vida de Piper Chapman cambiará por completo cuando sea encarcelada en una prisión de Litchfield, donde deberá enfrentarse a un pasado que creía haber dejado atrás y donde conocerá a un grupo de chicas, por lo menos, peculiares.
Lo que dice la crítica: Las críticas que ha ido recibiendo Orange is the New Black desde su estreno se han centrado sobre todo en ensalzar la humanización que hace de las prisioneras, así como su acertada representación de todos los sexos, etnias, sexualidades y tipos de cuerpo.
El juego del calamarArgumento: 456 personas aceptan participar a un juego que promete recompensar al ganador con muchísimo dinero. Su desesperación les llevará a luchar con su propia vida para hacerse con la victoria.
Lo que dice la crítica: El juego del calamar consiguió ser una de las series más vistas de Netflix en tan solo unos días. Se ha aplaudido sobre todo la crítica social que hace la serie y su capacidad de mantener al espectador pegado a la pantalla.
The End of the F***ing WorldArgumento: Basada en los cómics homónimos, la trama gira en torno a un joven que se autodefine como psicópata y a una chica que odia a todo el mundo. Juntos se aventurarán en un viaje por carretera que les cambiará la vida.
Lo que dice la crítica: The End of the F***ing World ha recibido una gran aclamación. La crítica se dividía entre aquellos que ansiaban una segunda temporada y aquellos que dudaban que la primera pueda mejorarse. Ahora ya se sabe que no habrá tercera.
YouArgumento: Joe Goldberg es el encargado de una librería de Nueva York, donde conocerá a quien dice es el amor de su vida: Guinevere Beck. Pronto descubriremos que ese amor es en realidad una obsesión que le llevará a traspasar todo tipo de barreras.
Lo que dice la crítica: La crítica alabó la capacidad de los creadores de formular una trama con la que poder sentirse identificado y rechazar al mismo tiempo todo lo que se ve. El protagonista, Penn Badgley, ha reiterado que no debemos sentir empatía con su personaje en You.
No te pierdas todos los estrenos en series de cada mes.
Best Ai Photo Editors For Iphone And Ipad In 2023
1. YouCam Perfect – Editor’s Choice
Recognized as one of the best picture editing apps, YouCam Perfect has everything your selfie-queen self will love. The app boasts an impressive collection of editing and beautifying tools that can add extra stars to your perfect pictures. Surprisingly, you can find everything – face beautification, teeth whitening, filters, visual effects, frames, and stickers – in this app!
Pros
Instant beautification tools
Easy social media sharing
Cloud storage gives easy access
Multiple filters and templates
Cons
Price: Free (In-app purchases start at $5.99)
Download
You can play with a wide range of intuitive filters to capture eye-pleasing AI selfies and avatars. Further, you can pick filters and effects that suit your aesthetics. Once captured, improve your pictures with AI Enhance tools or by adding digital art. For instance, you can hide blemishes, apply makeup, change eye and hair color, whiten teeth or sneakers, and other upgrades.
Furthermore, you can edit and change the surroundings or background intruding on your pictures using Facetune’s professional editing tools. Shine like a superstar in your images by adjusting the lighting and blurring out all the unnecessary objects, even your photobomber friends. There is a ring light eye feature as well for Instagram influencers. It’s your perfect pick, fellas.
Pros
Customizable editing tools
Hides facial imperfections
Fun filters to experiment
Blurs unwanted backgrounds or objects
Cons
Issues with saving edits
Price: Free (In-app purchases start at $5.99)
Download
3. Picsart AI – Edit photos or doodle like a pro
Picsart shines as one of the most coveted photo and video editing apps for iPhone and iPad users. The app houses an impressive cluster of AI filters that convert all your simple-looking pictures into artistic creations. Revamp your photos with trendy animations, effects, stickers, and filters. With its clutter-free interface, Picsart ensures smooth navigation from one editing tool to another feature.
Customize your pictures with intuitive filters and visual effects adorning the Picsart ecosystem. Like other editing tools, Picsart has a background eraser to help you escape objects you do not want to be a part of your picture. You can also blur backgrounds for clearer images. Moreover, the in-built video editor helps you edit videos, add music, or trim them. You can also create an exciting video collage highlighting your best memories.
In addition, with the retouch feature, you can add makeup stickers, try new hair colors, or enhance the facial effects. This amazing app turns text into images through an AI image generator and creates personalized photos automatically. Further, you can use the drawing tool to doodle on pictures or create something entirely new from your imagination.
Pros
Huge collection of photo editing, enhancing tools
Easy content sharing
Easy-to-use filters
Drawing tool for doodling
Cons
Expensive
Price: Free (In-app purchases start at $4.99)
Download
4. PhotoDirector – Try fancy filters for free
With a single tap, PhotoDirector lets you stylize your pictures, change your facial appearance, adjust lighting, and shuffle backgrounds. In addition, the wide range of animated objects like animals, flowers, moods, season specials, etc., help you create magic in your selfies. The overlay feature lets you add movements, moods, and emotions to your still pictures. The vivid collection of filters, stickers, effects, and frames will make you love this app.
Pros
Thousands of filters, stickers, and frames
Light adjustments allowed
Easy sharing on social media portals
Cons
Issues in subscription payments
Price: Free (In-app purchases start at $1.99)
Download
5. Retouch AI – Toolkits to guide you
The platform has an auto-detector that identifies strangers and crowds so you can remove them with a single tap. In addition, Retouch refines your imperfections, facial lines, and blemishes to give a natural-looking appearance. You can also whiten your teeth, enlarge your abdomen, increase your height, or reshape other body assets. The app lets you try and test multiple retouch variants to pick the most appealing one.
Further, with the background editor, you can replace the existing background with one of the templates available in the in-app gallery. You can blur the surroundings if you don’t want any background in your picture. The multiple embedded tooltips guide you through the photo editing journey on this platform.
Pros
Easy-to-use beauty enhancement tools
Stack of trendy filters
Multiple retouch features
Friendly tooltips for guidance
Cons
Frequent crashes
Price: Free (In-app purchases start at $2.99)
Download
6. Youni – Enhance your beauty with AI
Do you want to create an exciting AI avatar that resembles you? Then, hop on to the Youni photo editing app to create multiple AI versions of yourself. Generate impressive looks defining unique roles and personalities using the in-built stack of creative styles and editing tools. From enhancing your facial looks to experimenting with fascinating visual effects – Youni offers everything to you at your fingertips.
There are also multiple effects and filters like neon glow, fantasy, art presets, and many more for creating a catchy picture. Moreover, with Color Shift, you can add an interesting double-vision effect to your image.
Pros
A comprehensive collection of filters
Simple UI
Manual and automatic features
Cons
Frequent bugs
Price: Free (In-app purchases start at $0.99)
Download
7. AirBrush – Play with backgrounds
While black-and-white photos define class, colorful tones add liveliness to the captured moments. Luckily, with the AirBrush photo editing app, you can turn an ordinary-looking image into an eye-pleasing picture anytime. AirBrush features a stack of real-time editing tools and themed filters designed to simplify photo editing, which can add stunning aesthetics to your photographs.
Airbrush lets you expand or slim down the portions in your image that you might feel conscious about. Further, there are tools to blur, stretch, crop, or fine-tune your pictures and add an artistic touch. Once satisfied with the editing, you can share the images directly from AirBrush to your Instagram, Snapchat, Twitter, and Facebook pages.
Pros
Easy-to-use interface
A diverse collection of filters
Crop, blur, or reshape pictures
Beautify images with pimple remover
Cons
Limited features available in the free version
Price: Free (In-app purchases start at $5.49)
Download
8. Fotor AI – Erase unwanted objects magically
Feel free to play with the unique filters, photo effects, frames, fonts, and templates that adorn this popular photo editing platform. In addition, the app lets you adjust the light and tone, strike the perfect balance between the light and dark themes, and enhance the image quality. With the Retouch AI support, you can achieve a flawless makeup look in your naturally appealing selfies. It also facilitates text-to-image conversion using AI.
Furthermore, with Fotor’s magic eraser, you can kick all the unwanted objects out of your pictures. Apart from this, the app houses a background remover that erases the existing background from your images or allows you to swap it with a new one. Your picture, your choice.
Pros
Perfect for photo editing, collage making, and designing
Magic eraser deletes watermarks
Multiple filters and templates
Cons
Issues with the payment system
Price: Free (In-app purchases start at $0.99)
Download
9. Remini – Restore old pictures with AI
Pros
Fixes blurry, low-definition, and old pictures
Transforms vintage images
Supports multiple languages
Creates HD images
Cons
Limited file size support in exports
Price: Free (In-app purchases start at $2.99)
Download
10. Lensa AI – Create AI avatars for social media
With Lensa AI, every time is showtime. Yes, this comes from the fact that Lensa has earned great recognition from the social media community. From creating drool-worthy profile pictures to artistic selfies and pictures- Lensa specializes in every category. Just upload your regular selfies on Lensa and watch it turn them into stunning avatars. All thanks to Lensa’s smart AI that transforms an ordinary picture into an extraordinary artwork.
Pros
Helps create magical AI-made avatars
Exhaustive range of filters
Video editing allowed
Easy sharing of content on socials
Cons
Selection limit on photos
Price: Free (In-app purchases start at $2.99)
Download
Wrapping up
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Author Profile
Srishti
Srishti is an avid writer who loves exploring new things and letting the world know about them through her words. With a curious mind, she will let you move through the nooks and corners of the Apple ecosystem. When not writing, you can find her gushing over BTS like a true BTS Army would.
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