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Home DNA testing kits are still a fairly new concept, but hey, those are the blueprints to your body – it’s probably a good idea to treat them like the sensitive data they are, right? That’s what startups like Nebula Genomics, Encrypgen, DNATix, and others are trying to do by putting your genome on a blockchain that ensures you will always have control over who gets to access your source code.23andMe, and GlaxoSmithKline, and Google, and you, and you …
First, don’t freak out if you’ve used one of the big DNA services: they’re not giving your name and genome to anybody who comes along with a checkbook, and they have reasonable privacy and security measures in place. It’s not mad science/wild west genetics.
That said, DNA can only get so anonymous, and it’s absolutely possible to find people using only genetic information. They didn’t catch the Golden State Killer because he took a DNA test. They caught him because members of his family did. That’s why it’s a little scary to hear about companies like 23andMe partnering with pharmaceutical giant GlaxoSmithKline, or chúng tôi sharing DNA data with Alphabet (Google’s parent company), or even law enforcement using publicly available tools to comb through DNA.Nebula Genomics
Offers report: Yes
The cut comes in the form of Nebula tokens, which you get in exchange for giving researchers access to your data. You can cash these out for money or use them to pay for more detailed insights about your genome (you can also get this upgrade with plain old money), essentially shifting the cost of sequencing your gene to the researchers who will actually be using it and giving you a kickback.Encrypgen
Offers report: No
Another major player is Encrypgen, though they don’t analyze your DNA or give you a report, choosing to focus mainly on the DNA marketplace. You can use the testing service of your choice, then bring the raw data to Encrypgen’s Gene-Chain (a blockchain) to sell it. Much like Nebula, users have to give consent before anyone can access their data, and the raw data is never fully revealed. One major difference is that users can set prices for their data — a more market-based approach, but also more complex.LunaDNA
Offers report: No
They don’t pitch themselves as a blockchain company, but LunaDNA does use one as the mechanism that allows them to securely store and share data. Like Nebula and Encrypgen, they keep all your raw data (just one copy, which you can delete if you choose) and only give access if you allow it. In return, you get dividend-paying shares in LunaDNA, meaning it’s a community-owned project.DNATix
Offers report: No
Claiming to be the first company to successfully transfer genetic information over a blockchain, DNATix gives each user a “genetic wallet” that’s not tied to your real identity and which only you can control. You can upload your DNA data and basically send it around as you wish, allowing you to get insights from services without giving them your full genome or letting them know who you are.Zenome
Offers report: Yes
Zenome is essentially the Russian equivalent of Nebula mixed with Encrypgen: it offers DNA sequencing and a full report, but also comes with a robust blockchain-based marketplace. As of 2023, they don’t have a fully working product, but they’ve launched the first version of their blockchain.Blockchain this, marketplace that — where do I get a private DNA test?
Buying and selling genes on the blockchain probably isn’t what most people looking for a DNA test are interested in. You just want to know about your heritage and health data without being afraid your secret recipe is going to go public.
In that case, Nebula is definitely your best bet, as they offer a service with the same format and user-friendliness of the big testing companies while offering a much higher level of data protection and access control. The other companies mentioned here probably won’t give you a nice color-coded report, though. They’re mostly focused on reconciling the massive research potential of DNA with the need for user privacy, which will ultimately mean more private DNA tests for everyone.
Image credits: Home DNA Testing Kit, Nebula Genomics, Encrypgen, LunaDna, DNATix, Zenome
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Encryption is an interesting thing. The first time I saw encryption in action was on a friend’s Gentoo Linux laptop that could only boot if the USB key with the boot partition and decryption key was inserted. Cool stuff, from a geek point-of-view.
Fast forward, and revelations from Edward Snowden and ongoing concerns about government snooping are slowly bringing encryption and privacy tools into the mainstream. Even if you’re not worried about a Big Brother or some shady spy-versus-spy scenario, encryption can still protect your identity and privacy if your laptop is stolen. Think of all the things we keep on laptops: contact information, financial information, and client and company information. All of that data is worthy of protection. Luckily, Linux users have access to several tools for the affordable price of free.
There are three main methods for protecting the data on your laptop, each with its own strengths and weaknesses.1. OpenPGP and email encryption
Using Pretty Good Privacy (PGP) encryption to protect email isn’t anything new. While the original PGP implementation is proprietary, the OpenPGP specification was written in 1997. OpenPGP makes use of public-key cryptography, which means every keypair comes with a private and public key. You use a private key (that you keep secret) to unlock and sign files, while a public key (that you give away to people) can be used to encrypt files to you and verify files you’ve signed.
In the context of email, your plaintext email is encrypted with a public key into either a file or ASCII cycphertext (which looks random to people and machines) that can only be read by someone with the matching private key. In basic terms, this means that the email is encrypted before it leaves your PC, so no amount of snooping on the email server you’re using will allow someone to see the contents of the file. This is known as end-to-end encryption. (Metadata, like the subject line, recipients, and time sent are all left in plaintext, however.)
The most widely used implementation of this standard (as far as Linux users are concerned) is GNU Privacy Guard (or GnuPG or GPG).
To create a GnuPG keypair using the command line, use gpg —gen-key.
Most modern Linux distributions come with GnuPG preinstalled. If it isn’t, it can be easily found using your distribution’s package manager, usually with the name gpg.
While you can use GPG on the command line, it’s often easier to create and manage keys using a GUI program. The GnuPG team provides the GNU Privacy Assistant (GPA) GUI to create and manage keys. If you prefer a KDE-compatible interface, you can install Kleopatra, while GNOME 3 users might prefer GNOME’s Seahorse. GnuPG is also available for Windows using GPG4Win, which provides Windows versions of both Kleopatra and GPA.
Before you can encrypt files or email with OpenPGP, you’ll need to create your first keypair. When you create your key you’ll need to provide (at minimum) a name and email address to help identify the key. You’ll also need to provide a key strength. While a 2,048-bit key is considered pretty safe, a 4,096-bit key will provide more protection, though at the expense of slightly longer times for key creation, encryption, and decryption.
You can use a GUI to create your keys if you’re not confident about the command line.
How you set up GnuPG for use with your email will vary depending on the client you use. If you use Mozilla’s Thunderbird, you’ll need to install the Enigmail extension. Both KDE’s KMail and GNOME’s Evolution support OpenPGP natively. KDE’s online documentation provides a manual for GPG integration with KMail, and Fedora has a great how-to for Evolution. There are a few browser plugins like Mailvelope (which offers add-ons for both Chromium/Chrome and Firefox) that work pretty well for those who prefer webmail.
GnuPG provides a great in-depth online manual on how OpenPGP works and how to use the GnuPG tools. If you’re using Kleopatra, many of the steps outlined in PCWorld’s tutorial on GPG4Win will apply to Linux as well.2. Encrypted containers
Not everything you want to keep secret or secure is a text file or email. To secure groups of files, some people prefer to use encrypted containers.
Containers are handy because they’re portable. In its simplest form, a container is a lot like a zip file that’s encrypted. That file can be in your home folder, copied to a USB drive, stored in the cloud, or put anywhere else that’s convenient.
Setting up a container and key using Tomb is really easy, if you’re comfortable with the command line.
The most basic container can be a zip or gzipped tar file (.tar.gz) that you encrypt using OpenPGP. The downside to such a simple container is that you have to delete the plaintext (decrypted) file once you’re finished with it. If you have to modify or add files in the archive, you basically have to delete the old file and encrypt a new one.
A simpler and more secure way to handle containers is to use VeraCrypt (the successor to TrueCrypt). VeraCrypt is capable of creating encrypted containers of fixed size, which can help obscure the size of the files in the container. There’s a good tutorial on VeraCrypt’s website that explains how to create such a container. The good thing about using a VeraCrypt container is that you can access its contents using VeraCrypt on both Windows and Linux.
Finally, there’s a tool called Tomb. Tomb is little more than a script, but it makes creating and managing containers and keys for dm-crypt really easy. The dm-crypt utility is standard to Linux and is its built-in disk encryption engine (I’ll get to more on that in a bit), but it can also be used to create containers. Tomb’s usage is quite simple, and the project website offers useful guidance.3. Whole-disk encryption
Sometimes, it can just be easier to encrypt everything on your system. That way, there’s little need to worry (for the most part) about what files are stored where. Everything is protected, so long as your PC is off.
Windows users may recall that VeraCrypt (or TrueCrypt) can encrypt drive partitions and entire disks. This can be done on Linux as well, but most users will likely prefer to use Linux’s built-in disk encryption tool, dm-crypt.
A partition tree viewed with lsblk. Note that the encrypted partition /dev/sda3 is host to the LVM partitions that are mounted to the root directory (/) and swap, while the boot partition (/dev/sda2) is unencrypted.
By itself, dm-crypt and its tool cryptsetup are very basic and can be a little cumbersome, since dm-crypt can only use a single key. Most people prefer to use Linux Unified Key Setup (LUKS) to manage keys for an encrypted device, which allows up to eight keys to be used with dm-crypt, such that any one key or passphrase supplied can unlock the drive. When using dm-crypt to encrypt a drive, a passphrase must be entered at boot time to unlock it.
I should also note that LUKS and dm-crypt are the underlying programs that Tomb uses to work its magic.
Setting up dm-crypt, LUKS, and optionally LVM (logical partitions) can be a messy task for a newbie. For users who feel up to the task, the Arch Linux Wiki has a great guide on using LUKS and dm-crypt to encrypt a system. For those less inclined to get down and dirty with terminal commands, there’s an option to use LVM and LUKS drive encryption when you install Ubuntu or Debian.
There are a couple pitfalls when using whole-disk encryption. First off the boot partition (/boot) is usually left unencrypted, since the system has to boot to an initial ramdisk to get itself going. The system can’t do that if the ramdisk and boot partition are unreadable. (You actually can encrypt the boot partition, but it takes extra steps and is a bit more tricky.) The consequence of this is that it if someone got their hands on your PC, they could theoretically install a modified kernel that could harvest your passphrase. It’s an unlikely scenario, but technically possible. This can be circumvented by placing your boot partition on a USB thumb drive that you keep separate from the system.
The minute you turn on your PC and unlock the disk, files on the system can be read as though it weren’t encrypted at all. If your laptop is stolen and you don’t have a screen lock enabled, someone could simply compromise your system as long as it has power (which is very similar to device encryption on an Android phone).
Finally, SSDs present special problems because of the way they allocate and clear (or don’t clear) cells. You can still use an SSD with disk encryption, but extra steps should be taken when preparing the drive.
Even with a few pitfalls, I consider using disk encryption on laptops to be a very good practice. While encrypting desktops is less common because they are stolen less frequently, everyone has seen someone leave a laptop at a coffee shop or on a chair on campus. I rest a little easier knowing that if my laptop is ever lifted, I’m only losing a device, not my privacy along with it.
Best Windscribe deals to keep your data safe
Despite the fact that VPNs are some of the best ways to protect your online privacy, many are hesitant when it comes to buying a subscription.
Certain VPN providers such as Windscribe have some Black Friday deals and offers that aim to make VPN subscription plans more affordable.
Check out our Black Friday VPN Deals section for more offers, promos, and deals.
Visit our VPN Hub to learn more about the benefits of using VPNs on a daily basis.
INSTALL BY CLICKING THE DOWNLOAD FILE
To fix Windows PC system issues, you will need a dedicated tool
Fortect is a tool that does not simply cleans up your PC, but has a repository with several millions of Windows System files stored in their initial version. When your PC encounters a problem, Fortect will fix it for you, by replacing bad files with fresh versions. To fix your current PC issue, here are the steps you need to take:
Download Fortect and install it on your PC.
Start the tool’s scanning process to look for corrupt files that are the source of your problem
Fortect has been downloaded by
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Let’s be honest: VPN premium subscriptions are not exactly affordable, and it’s less likely for someone who doesn’t know a thing about the importance of using such a service to purchase a plan.
Let’s assume for a moment that people start to come around to the idea of using a VPN. More so given the recent developments regarding privacy violations and security breaches aimed at big companies and remote working individuals alike.
Although it’s awful from a security/privacy standpoint, the price of a VPN subscription plan is simply one of the first things consumers focus on, whether we like it or not.What are the best Windscribe discounts?
1 Year plan (Save 58%) – $29 billed yearly ($2.24 per month)
That’s it. Windscribe usually has monthly, yearly, and Build-a-Plan options on its website that will fit most of the pockets.
Sick and tired of looking for the perfect Black Friday & Cyber Monday deal on VPN plans? Check out Windscribe’s offer.
58% OFF! Buy it now!
However, this is a great deal, considering that the monthly subscription plan costs $9. Grab it while it’s hot, as we have no idea when it’s going to end.Should I use Windscribe?
Absolutely. Windscribe is one of the best VPN providers that also offers a great free plan. However, like any awesome thing, Windscribe’s free plan is also limited. Meaning that it is free, but not really if you plan on using for extended periods of time.
Moving on. You’re maybe wondering why should you choose Windscribe. Well, if you like VPNs that mind their own business and never log any of your private online activity, then Windscribe is definitely a good choice.
Surely enough, Windscribe aren’t the only ones who enforce a zero-logging policy, so let’s check a broader list of reasons that might help you make up your mind. By that, we mean Windscribe’s key features, obviously.
As you can see, there are plenty enough reasons to pick Windscribe in the list above. We didn’t even get to mention the witty emails you could receive from its reps every now and then.
Long story short, if you’ve been hesitant about purchasing a VPN subscription plan because of their ridiculous prices, Windscribe’s Holiday offer might just help you make up your mind.
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These are the real-life applications of data science. Over the past decade, data science has successfully transformed our lives. From Zomato to Tinder, Twitter to LinkedIn, data science is everywhere. It seems that there is an opportunity for data science in every industry imaginable. And data scientist is considered as one of the sexiest jobs today. And without a doubt, the demand is increasing every day. This is because, today, data scientists can help businesses in numerous ways like mitigating risks and frauds using statistical, network, path, and big data methodologies. They can guide business brands about where and when to deliver their products and personalized customer experiences to meet the customers’ demands. They can identify opportunities, target audiences, and refine them. Further, they empower management to make better decisions, recruit the right talent for the organization, and adopt practices that will help brands achieve their goals and promises. All these are possible by making sense of hordes of data and locating relevant patterns and designs in them, to arrive at actionable insights. Data science helps in industries like pharmaceuticals for drug discovery, healthcare to find the right treatment solutions that help take patient care to the next level. Therefore, it is becoming evident by the day that there is enormous value in data processing and analysis. So to reap the maximum benefits of this opportunity one needs to have adequate skills in data science. And for adding this extra skillset one may not need formal qualifications in the subject, just the knowledge of the fundamental theory and practical skills are enough to enhance one’s employability and career prospects. Although a certification course can cost much, especially for a student, there are tonnes of affordable data science courses at Designed to give a simple overview of what data science is, how it works, and what it can be used to do. This course offers an introduction to the technical side of data science but is mainly aimed at understanding the big picture for those who need to manage data scientists or data science work. It’s a relatively short course as it consists of one module that can be finished in a week. It can serve as an excellent introduction for those who want to learn the terminology and understand how to build a data science strategy, without necessarily needing detailed instructions on using the technical tools involved.
It can boost up your resume with in-demand data science skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn, Advanced statistical analysis, Tableau, Machine Learning with stats models and sci-kit-learn, Deep learning with TensorFlow. Post the course completion, and one can create Machine Learning algorithms in Python, using NumPy, statsmodels, and sci-kit-learn. Also, learn to use This 10-course bundle comprises 68 hours of training in big data and machine learning solutions from some of the top instructors on the Internet. At first, students will learn how to search and analyze data using Elasticsearch, how to harness and organize massive sets of unstructured data using tools like Hadoop, MapReduce, and Apache Spark. After mastering those, one shall learn how to apply machine learning tech to understand the data and draw quicker, better insights from it. Students will get to work with tools like Keras, Python, and Tensorflow and understand how to power machine learning and artificial intelligence.
A completely free course that breaks down the core topics of the data science process and an introduction to machine learning into three modules, each designed to take around three hours to complete, and concluding with an assessment. Once you’ve worked through that, you can choose from several other similarly bite-sized tutorials covering data programming languages, visualization tools, and techniques such as building clustering and regression models
Soft robotics companies are essential for robotics users. Soft robotics refers to the subfield within robotics that deals with the creation of robots from soft, elastic and flexible materials.
It is similar to living organisms. It is based on living organisms that adapt to their environment. Soft robotics technology allows robots to exhibit both dynamic and plastic behavior.SpectroPlast
The lack of soft touch surfaces is a major obstacle to soft robotics creation. Silicon is the preferred material for creating touch surfaces that feel soft and human-like. SpectroPlast, a Swiss startup company, provides silicon-based solutions to different applications.
Also read: The 15 Best E-Commerce Marketing ToolsiCobots
Soft robotics technology is used by iCobots to package food products such as eggs, fruits, or chocolates that do not require manual labor. These robots work together to combine robot speed with human touch, and can be used in delicate food handling. Robots can handle many products from different industries, including agriculture.Soft Gripping
Also read: 11 best ways to Improve Personal Development and Self-Growth and its Benefit on our LifeSquishy Robotics
Squishy Robotics is a mobile sensing robot that can be quickly deployed and used for remote monitoring, disaster rescue, and space exploration. The company’s goal is to create fusion robots by combining mobile sensing, machine learning, big data, smart IoT, and machine learning.
This platform can be customized to adapt to changing situations. This startup is currently focusing on developing applications that provide scientific monitoring, delivery services and smart home applications.Somnox
Somnox is one of the pioneers in providing a technology that helps people fall asleep. Soft robotic innovation is the company’s specialty. It helps people fall asleep at night and wake up feeling more energetic.
Also read: Best 10 Email Marketing Tools in 2023Soft Robotics Soft Robot Tech (SRT)
SRT, a China-based startup, specializes in software robotics. This includes flexible SRT jaws and intelligent medical aids. The company studies the deformation mechanism inflexible materials and develops grippers that can grasp workpieces of various sizes, shapes, weights, and with one claw.
These claws are equipped with a soft, pneumatic thumb that covers the target and does not know its size or shape beforehand.
Here are the top 10 revolutionary big data analytics companies of 2023 that you must take note of it.
Did you know that by 2025, more than 152,000 IoT devices will be connected per minute? The amount of data generated has increased tremendously with the increasing use of AI, ML, and IoT. Big data analytics is helpful in this situation. The technology, also called data analytics, is the foundation of contemporary edge computing. For unfamiliar people, edge computing is a system where processors are placed far closer to the data source or destination than clouds.
These factors will likely cause the big data analytics market to expand rapidly over the coming years. By 2030, this market’s valuation might reach US$745.15 billion. Additionally, a CAGR of 13.5% is predicted for the market between 2023 and 2030. By 2023, the market, valued at US$271.83 billion in 2023, is anticipated to have grown to USD 307.52 billion. Here are the top 10 revolutionary big data analytics companies of 2023.1. IBM
The New York-based IBM Corporation is a key provider of big data products and one of the top big data analytics firms globally. These include IBM Watson Studio, IBM Db2 Big SQL, IBM Big Replicate for Hadoop, and Cloudera Big Data. These products support ultralow latency data acquisition, processing, and management. Businesses can use these technologies to make decisions more quickly and effectively, lowering their data storage and analysis expenses.2. SAP SE
The German IT behemoth SAP SE provides businesses with customer-focused goods and services that support data-driven decision-making. Data management tools, including SAP Data and Analytics Solutions, SAP Data Warehouse Cloud, SAP Master Data Governance, SAP Analytics Cloud, and SAP HANA Cloud, are among its products.3. Microsoft
The Bill Gates-founded hardware and software services company Microsoft Corporation provides customers with tools that make storing and processing various data easy. This covers real-time, unstructured, and structured data. The IT major uses big data and analytics to gather, process, and analyze data.4. SAS Institute Inc.
The SAS Institute Inc., headquartered in North Caroline, North Carolina, creates a range of technology, including Hadoop, data mining, big data analytics, data management, in-memory analytics, predictive analytics, machine learning, text mining, and cloud computing, to extract the most helpful information.5. Fair Isaac Corporation
FICO, called Fair Isaac Corporation, is a data analytics business headquartered in San Jose, California. The company supports firms in making smarter decisions to maximize profitability, uncover more significant development potential, and improve customer happiness. Customer growth, decision management and optimization, debt collection and recovery, scoring solutions, and fraud prevention compliance are just a few services the business provides.6. Oracle
With its global headquarters in Austin, Texas, Oracle Corporation is one of the top suppliers of comprehensive data services that assist businesses in obtaining, handling, sorting, and processing data. The company provides object storage and analysis using Oracle Cloud SQL and Hadoop-based data lakes. It ranks among the top big data analytics businesses worldwide.7. Salesforce Inc. 8. Equifax Inc.
Equifax Inc., the leading data analytics solutions provider, enables knowledge transformation and enhanced decision-making. These tools assist businesses in making wiser decisions and moving in the direction of improvement.9. TransUnion
Based in Chicago, TransUnion specializes in big data and analytics technologies that support analytical resources, improve analytical insights, and use analytical tools and specialists.10. QlikTech International AB
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