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The world has seen unprecedented technological change over the past few decades, impacting every aspect of human life. One area where it is expected to have far-reaching implications is military strategy and weapons manufacture. Artificial Intelligence (AI) and Autonomy are transforming how nations wage war, and their impact will be profound.
AI-enabled systems can revolutionize where and how wars are fought. Small, cheap, and increasingly capable uncrewed systems will replace large, expensive, crewed weapon platforms. This revolution is already underway in many parts of the world. For example, Ukraine has developed sophisticated armed drones that strike with precision, while Russia is using AI “smart” mines that respond to nearby footsteps. Australia has a range of autonomous weapons and vessels that can be deployed in conflict, including uncrewed Ghost Bat aircraft and Bluebottle surveillance vessels.
Major powers around the world recognize the importance of AI in shaping the future of warfare. The House of Lords in the UK is holding a public inquiry to study the use of AI in weapons systems, while Luxembourg recently hosted an important conference on autonomous weapons. The United States has adopted a “third offset strategy” that will invest heavily in AI, autonomy, and robotics. Meanwhile, China has already announced its intention to become the world leader in AI by 2030.
In this article, we will examine how AI and autonomy fit into the larger strategic picture and why it is crucial for countries to incorporate them into their defense strategy.AI and Autonomy: The Future of Warfare
AI and autonomy will change the way wars are fought in different ways. Autonomous systems can function independently or with minimal human intervention, allowing militaries to operate unmanned aerial vehicles (UAVs), ground robots, and uncrewed ships. In contrast, artificially intelligent systems can help decision-makers analyze vast amounts of data generated by sensors and other sources to provide a more accurate and timely picture of the battlefield.
The use of autonomous systems in warfare is not new. Drones have been used extensively in Iraq and Afghanistan, while underwater drones have been used by navies worldwide for years. However, the increasing sophistication of AI-enabled systems is expected to revolutionize this field. These systems can act faster than human decision-makers, react with greater accuracy, and adapt to changing circumstances in real time.The Role of AI and Autonomy in Military Strategy
Also Read: China Develops AI-Powered Artillery to Target Taiwan
One area where AI has shown its value is in identifying targets in satellite images. In 2014, the US Air Force demonstrated how machine learning algorithms could identify a T-90 main battle tank in a satellite image with an accuracy rate of 91%. Another area is facial recognition technology, which can help military personnel identify high-value targets in a crowd accurately. Additionally, AI-powered text generation can help create information operations to influence public opinion or deceive enemy forces.AI and Autonomy: The Risks and Challenges
Despite the potential benefits of AI and autonomy in military strategy, there are risks and challenges we must address. One significant concern is the possibility of an arms race involving autonomous weapons. As AI specialist Steve Omohundro warned in 2014, “An autonomous weapons arms race is already taking place.”
The proliferation of autonomous weapons could lead to an escalation of violence as countries race to develop ever more sophisticated systems. There is also the risk of autonomous weapons malfunctioning or being hacked, thereby leading to unintended consequences.
Another challenge is the ethical concerns surrounding autonomous weapons. The use of artificial intelligence in warfare raises several questions about accountability and responsibility. For example, who is accountable if an autonomous weapon causes collateral damage or malfunctions? How do we ensure that these systems are used ethically and comply with international law?
Also Read: ChaosGPT: Just a Mischief or Bot with a Plan to Destroy HumanityOur Say
AI and autonomy are transforming military strategy at an unprecedented pace, and their impact will be profound. Countries worldwide recognize the importance of artificial intelligence in shaping the future of warfare. They are hence investing heavily in research and development to stay ahead of the curve.
However, there are risks and challenges involved in the use of AI in designing and deploying war weapons. The proliferation of autonomous weapons could lead to an escalation of violence, and there are concerns about accountability and responsibility. Therefore, it is essential for countries to incorporate ethical considerations into their decision-making around AI-enabled systems.
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You’ve probably heard of ChatGPT by now, but have you used the AI tool or played around with it? If not, you may be intrigued to discover and toy around with ChatGPT, as it’s really quite impressive and powerful, whether you want it to write you formal emails, come up with AppleScript for a specific task, write an essay for you on a given topic, explain how something works in simple terms, or whatever else your imagination comes up with.
For the unfamiliar, ChatGPT is an artificial intelligence language model that understands and generates human language. Developed by OpenAI (with a large recent investment from Microsoft), it works by processing large amounts of data inputs from the web, articles, and books, to then perform various tasks, whether that’s answering questions, generating code, writing text in various styles, and much more.
It’s a very powerful tool that we will all undoubtedly be hearing a lot from over the coming years, so why not try out ChatGPT yourself, explore how it works, and see what you think.How to Use ChatGPT
To use ChatGPT all you need is any modern device with a web browser, so launch Safari, Chrome, Firefox, Edge, Brave, or your browser of choice, and get started.
At the prompt, ask a question on virtually any subject (as long as it was pre-2024, since that was the data it was given to work with for now), for example:
“Explain string theory in simple terms”
“Why is AI dangerous?”
“Write me an AppleScript that turns off my Mac at 6pm on Thursdays”
“Write me a python script that finds the 10 most commonly used words on a webpage”
“Write me a formal letter using complex legalese that tells my neighbor to stop eating my flowers”
“Write a letter to my boss to quit my job, but make it sound like a 2nd grader wrote it”
“Tell me about your ethics”
“Give me a fictional conversation between Einstein and Oppenheimer where they discuss nuclear fusion”
“Give me a recipe that uses spaghetti, sausage, broccoli, and tomato sauce”
“Plan me a 10 day vacation somewhere safe and tropical, but exotic and unique”
“Write me a song about loving cookies written in iambic pentameter”
You can then explore and refine answers by saying things like “explain that further” or “rewrite, but make it sound like a third grader wrote it”
Have fun and be impressed (and/or creeped out)
ChatGPT is genuinely impressive as you will quickly find out, and it’s astonishing how many careers, jobs, positions, and duties will be enhanced, impacted, or obsoleted in one way or another by these type of AI tools.
Here, ChatGPT offers a recipe given a set of ingredients
With how impressive and elaborate ChatGPT is, you really wonder why Siri just wants to search the web for basically every request or question, but maybe that’s a good thing since Siri is obviously not becoming sentient anytime soon even if it starts talking out of the blue often when it misidentifies a verbal cue for ‘Hey Siri’. Do you think Siri should be as smart and as capable as ChatGPT? Should Apple tie ChatGPT in to Siri? Microsoft put a heavy investment into ChatGPT, so that would be an interesting alliance, given the history of rivalry between Apple and Microsoft.
What do you think of ChatGPT? Do you find it useful, intriguing, pointless, terrifying, or something else? Do you think ChatGPT and AI tools like it will obsolete and replace jobs in the near future, or are humans necessary?
(* Artwork at the very top of this page was generated using an AI drawing tool called NightCafe, which is a completely different AI journey to explore but also fun)
Nothing should come between a company and its ability to develop a trusted relationship with its customers — including a monitor.
In so many everyday scenarios, however, businesses have been forced to create environments in which an employee is trying to solve a customer’s problem or answer their questions while furtively scanning for information on a desktop computer screen that the customer can’t see.
“They may turn [the monitor] towards you once in a while, but for the most part you’re disconnected,” said Matt Hills, senior field engineer at Samsung Electronics of America. “How do we change that and make it more immersive, but also evolve the processes within a business to be more mobile?”
Hills will provide the answer to that question alongside Samsung Electronics of America Manager HyunJun Jung in a session at this year’s Samsung Developer Conference (SDC), called “Developer’s Insight: Transforming the Business With DeX.”The Difference With DeX
Samsung DeX is a platform that extends a Samsung smartphone or tablet into a desktop experience by connecting directly to a monitor. It offers a true PC-like experience with drag and drop functionality, keyboard shortcuts and resizable windows. The SDC session will not only offer a deep dive into how the technology works, but how it has been part of a project involving a major multinational company over the past 18 months.
According to Jung, the case study will be a backdrop to a larger discussion about how the computing industry has evolved from accessing most enterprise data through a large, fixed form factor to something that you can carry in the palm of your hand. The processing capabilities of mobile devices have caught up to more traditional machines, but the Samsung DeX platform fills an important void.
“What we’re finding is that customers are reaching a point where they need to make a decision about whether they’re going to buy a phone, a tablet or a laptop,” he said. “Each one is in the $500 to $2,000 price range, but then employees hardly ever use certain devices because of the app explosion. You can now do pretty much everything as easily on your phone as you could on a desktop. DeX is just giving you that option to make it work within a desktop context.”Samsung DeX in Practice
In markets like financial services, for example, DeX makes it easier for companies to share screens on mobile devices in situations where customers might need more education, Jung said, such as when they’re choosing new products for their portfolio or need to understand the details of a mortgage. A bank employee could then easily connect to a monitor afterwards to operate like a desktop user. The same thinking can be applied across many other vertical industries.
“There are a lot of legacy systems out there that are not mobile-first because they’ve been around for so long,” Jung said, citing enterprise resource planning (ERP) and other mission critical applications. “DeX builds that bridge to fill the gap so you can still use the old system, but to the end customers, it looks like you’re using new technology.”
“Knowing your use case and establishing your minimal viable product early on is important,” Hills said. “When that happens you can get to value quickly, whatever your use case happens to be.”What’s the Best Phone for Your Business?
Discover the smartphone most tailored to your business needs. Download NowDeciding on DeX
Organizations tend to consider transforming their business with DeX at a time when they’re getting ready for a device refresh, Jung said. If a firm is already building applications for mobile operating systems like Android, meanwhile, there typically isn’t a lot of extra work involved to make it function on the DeX platform, he added. That means operations aren’t interrupted, as they might have been in a more “rip and replace” scenario.
Both Hills and Jung talked about the potential for DeX to boost customer retention rates by providing a more engaging experience, but they noted the same could be true for keeping a company’s best employees on board. Particularly as new generations enter the workforce, there is an expectation of being able to lead with mobile technology, said Jung.
“Anyone who provides a service on the front lines sees the value here,” he said. “I often find this when talking to customers, where they say, ‘I only wish I had this tool to do this task.’ DeX is really about using the right technology in the right place, and not just for the sake of using it.”
Learn more about how Samsung can help your company go mobile-first. Then download this free white paper to learn how DeX can help your enterprise go mobile-only.
Chevrolet’s 2009 Corvette ZR1 is the best thing to come out of Detroit since Dearborn-style pistachio baklawa. I don’t say that lightly; pistachio baklawa is spectacular.
Leading with a headline-grabbing horsepower figure, the ZR1 delivers sharp, predictable handling, unjarring road feel and performance as barmy on pavement as on paper, all without artifice or intimidation. Yes, it’s a Corvette, and while that may confound anyone who assumes the badge signifies rough trade, the ZR1’s excellence won’t surprise anyone whose watched GM’s Corvette program evolve over the past decade.
It isn’t the first Corvette to wear the ZR1 badge. The name also applied to a rare racing package in 1970 and the better-known “King of the Hill” Corvette in the early 1990s, powered by a Lotus-designed V8. The ’09 is nonetheless a Corvette of firsts. With a base price of $105,000, it is the most costly Corvette in the model’s history (and the first over six figures). It’s also the first to break 200 mph right out of the factory, and the first boosted by a supercharger, or for that matter, artificial aspiration of any kind.
The ZR1 produces momentous car-geek numbers: zero to 60 in 3.4 seconds, a 205-mph top speed, 7.26 seconds around Germany’s Nürburgring, 638 horsepower, and 604 pounds-feet of torque. To put it in context, there’s only a factor of 0.001 between the ZR1 and being punched in the face by Kimbo Slice.
Certainly, the ZR1 surpasses the previous flagship Corvette Z06, which since 2004 has occupied a stratum of high-performance cars costing twice its $72,000 price. But whereas the edgy Z06 can be riotous, the ZR1 embodies Theodore Roosevelt’s principle of speaking softly and carrying a 600-horsepower supercharged V8 in your pants. Plus, you just know the world has gone a bit flatsided when the 505-horsepower Z06 feels underpowered.
2009 Chevrolet Corvette ZR1: Horsepower, Comfort and Did We Mention, Horsepower
Let’s forget for a moment exactly how much power the ZR1 has. OK, that’ll do. It’s 638 horses, enough to pull 80 Budweiser beer wagons. Stomp the gas and a few seconds later you’re wondering why some guy with a funny accent is asking to see your passport.
ZR1’s power delivery is smooth and linear, belying the Roots-type supercharger and integrated liquid-to-air charge cooler, which peeks through the ZR1’s polycarbonate hood window like a H.R. Giger-drawn waffle iron. Never before has an engine-and-compressor combo felt more united in its power proposition. Part of the credit goes to Eaton, whose latest four-lobe supercharger design is less parasitic than previous incarnations, meaning it saps less engine horsepower from the 6.2-liter V8 to run the compressor. All told, the powerplant offers 90 percent of peak torque from 2,600 rpm to 6,000 rpm (nearly half at 1,000 rpm) and half the horsepower at 3,000 rpm. In effect, it’s all one big sweet spot.
GM brass wanted the ZR1 positioned as a daily-driver supercar, so engineers took extreme measures to tamp down the noises associated with high performance. For instance, they scrubbed the supercharger’s characteristic whine out of the ZR1’s engine note by adding twice as many drive-gear teeth to increase the sound frequency (if you see packs of dogs following the ZR1 around town, you’ll know why). The downside is a general lack of the visceral attitude one might expect from a car with nearly as much horsepower as a Ferrari Enzo. That is, until an exhaust valve opens at 3,000 rpm, and there ensues an aural discharge that would send members of Mötorhead to the local druggist’s for earplugs, ibuprofen and a copy of Quilting magazine.
Carbon-ceramic brakes from Brembo provide the kind of stoppage you’d expect from an arriving 737. These are the same high-heat-handling discs used in the Ferrari Enzo. Actually, as one engineer said, they’re the size of those on the track-only Ferrari FXX in the front and the lesser Enzo in the rear (did I just say “lesser Enzo”?). These disks get the clampdown from six-piston front calipers and four-piston rears. Corvette and Brembo techs also reworked the system to head off the squeaking and grabbing typical of racing-grade carbon-ceramic discs when cold.
2009 Corvette ZR1: Detroit’s Supercar
We’ve established the ZR1 can accelerate and decelerate, but to ignore its handling capabilities is to miss where the ZR1 excels. The ZR1 pulls more than 1g on the skidpad, and by the time the massive tires do break free, rear first of course, the ZR1’s controls have already offered ample tactile warnings that the end of the road is near. Also, GM/Delphi’s Magnetic Selective Ride Control is standard. It’s an ingenious device that uses shocks filled with metallicized fluid, whose viscosity can be altered by adding or subtracting an electrical charge. That means the dampers can be adjusted on the fly, within milliseconds of the car’s bank of sensors sussing out road conditions, g-forces and whatever the driver had for dinner over last year’s holidays. The ZR1 isn’t the only GM car that gets this system, but it’s tuned specifically for the ZR1. To one’s backside, it means a startlingly supple ride quality that makes the ZR1 the best long-trip supercar ever built.
Harping on the Corvette’s sub par interior has become a contact sport for car journalists, who continue raising the bar on clever metaphors for chintzy plastic. By covering most of the dash with leather, Chevy’s upped the touch quality in the ZR1 interior to, say, that of a car in the $50,000 range. Not too bad, and certainly not a deal-breaker in this case.
Ultimately, the 2009 Corvette ZR1 may never score a single kudo from kids with pictures of Lamborghinis and Elisha Cuthbert in their lockers. Japanophiles who deify the 2009 Nissan GT-R will go on posting put-downs on Internet fan forums. And Chevrolet engineers who worked the ZR1 program will still sleep soundly as kittens. Yes, the ZR1 is that good.
Quarter mile: 11.3 seconds @ 131mph
Many an accident has happened over the past couple of decades because of people’s blatant disregard for repeated warnings about not using mobile phones while driving cars, riding bikes, or operating any kind of heavy machinery in general. Over the better part of the past decade, most states in the U.S. and indeed, most jurisdictions around the world, have banned texting by drivers. Public awareness campaigns have also tried to persuade people to get off their phones while they are in the driver’s seat. The problem, however, is only getting worse by each passing year, and reports about serious injuries and even fatalities from cellphone-related vehicular mishaps are becoming all too common.What is Textalyzer and How Does it Work?
Textalyzer is an electronic device that is said to have the ability to check if a driver was using their phone or tablet while operating a vehicle. To determine whether a particular device was in used at a given point in the time, it will need to be plugged into the textalyzer, which will then scan the device to report the exact time when the phone was swiped or tapped. While the textalyzer is yet to be officially unveiled, it is said to look like a tablet about the size of an iPad. Made by an Israeli tech company called Cellebrite that was in the news last year for reportedly helping the FBI hack into the iPhone of San Bernardino shooting suspect Syed Farook, the technology has its own share of critics, who are fighting proposed legislation that would enable police officers to legally use the device to charge motorists with distracted driving.Why is the Textalyzer Controversial?
While proponents of the textalyzer claim that it will help bring down the rampant usage of mobile phones while driving, opponents are up-in-arms over what they perceive to be yet another attack on their privacy by the government. According to the New York Civil Liberties Union and other privacy rights groups, the device is way too invasive and may prove to be a serious threat on an individual’s right to privacy if implemented without clear and unambiguous safeguards. In a statement released a few weeks ago, the NYCLU even argued that the proposed bill to empower police officers to use the textalyzer to examine the phones of drivers is a serious violation of privacy and is as such, unconstitutional.What Does the Textalizer Law Propose and When Will it Come into Effect?
The legislation to implement the use of textalyzers was introduced in the New York Senate last year, and was promoted by lobby group ‘Distracted Operators Risk Casualties (DORCs)’, whose co-founder, Ben Lieberman, lost his son, Evan, a few years ago in a vehicular accident caused by a distracted driver. The proposed law, which has received support and faced opposition in equal measure, was approved by the New York Senate Transportation Committee and in currently waiting for the approval of the finance committee. Similar legislative action is also being considered actively by lawmakers and administrators in Tennessee, New Jersey and Illinois.
In case the proposed law comes into effect, the police will be required to inform motorists involved in an accident that their license is liable to be suspended with immediate effect pending a textalyzer scan of their mobile device(s). In case the driver “refuses to acquiesce to such field test”, the license can even be revoked. The proposed law also states that, every driver “shall be deemed to have given consent” to the scanning of his or her mobile device to determine whether they were using it in the seconds leading up to the mishap.
New York Governor Andrew Cuomo announced last month that the state’s Traffic Safety Committee would examine the textalyzer to see if it’s ready for prime time. As of now, there’s no concrete date for the technology to be implemented, but Cellebrite says that it is ready to bring its device to the market early next year.
SEE ALSO: What is 5G? Everything You Need To KnowCan the Textalyzer Really Reduce Distracted Driving?
As mentioned earlier, the use of phones while driving is not just frowned upon, but also banned in most countries around the world. However, as we know all too well, those rules are widely flouted by people everywhere. While the scourge of DUI has been successfully tackled to a large extent by the use of the breathalyzer, proponents of the textalyzer are hoping that the use of the new technology will help the law enforcement fight the problem of driving while using a phone. Whether or not that happens remains to be seen, but hopefully, we’ll have a balanced system that will help us cut down on distracted driving without infringing on our privacy and civil liberties.
What if we wake up one morning to the news that a super-power AI has emerged with disastrous consequences? Nick Bostrom’s Superintelligent and Max Tegmark’s Life 3.0 books argue that malevolent superintelligence is an existential risk for humanity. Rather than endless anticipation, it’s better to ask a more concrete, empirical question: What would alarm us that superintelligence is indeed at the doorstep? If an AI program develops fundamental new capabilities, that’s the equivalent of a canary collapsing. AI’s performance in games like Go, poker, or Quake 3, is not a canary. The bulk of AI in such games is social work to highlight the problem and design the solution. The credit for AlphaGo’s victory over human Go champions was the talented human team at DeepMind that merely ran the algorithm the people had created. It explains why it takes several years of hard work to translate AI success from one little challenge to the next. Techniques such as deep learning are general, but their impactful application to a particular task needs extensive human intervention. Over the past decades, AI’s core success is machine learning, yet the term ‘machine learning’ is a misnomer. Machines own only a narrow silver of humans’ versatile learning abilities. If you say machine learning is like baby penguins, know how to fish. The reality is that adult penguins swim, catch fish, digest it. They regurgitate fish into their beaks and place morsels into their children’s mouths. Similarly, human scientists and engineers are spoon-feeding AI. In contrast to machine learning , human learning plans personal motivation to a strategic learning plan. For example, I want to drive to be independent of my parents (Personal motivation) to take driver’s ed and practice on weekends (strategic learning). An individual formulates specific learning targets, collects, and labels data. Machines cannot even remotely replicate any of these human abilities. Machines can perform like superhuman; including statistical calculations, but that is merely the last mile of learning. The automated formula of learning problems is our first canary, and it does not seem anywhere close to dying. The second canary is self-driving cars. As Elon Musk speculated, these are the future. Artificial intelligence can fail catastrophically in atypical circumstances, like when an individual in a wheelchair crosses the street. In this case, driving is more challenging than any other AI task because it requires making life-critical, real-time decisions based on the unpredictable physical world and interaction with pedestrians, human drivers, and others. We should deploy a limited number of self-driving cars when they reduce accident rates. Human-level driving is achieved only when this canary be said to have kneeled over. Artificial intelligence doctors are the third canary. AI already has the capability of analysing medical images with superhuman accuracy, which is a little slice of a human doctor’s job. An AI doctor’s responsibility would be interviewing patients, considering complications, consulting other doctors, and so on. These are challenging tasks, which require understanding people, language, and medicine . This type of doctor would not have to fool a patient into wondering it is human. That’s why it is different from the Turing test. A human doctor can do a wide range of tasks in unanticipated situations. One of the world’s most prominent AI experts, Andrew Ng, has stated, “Worrying about AI turning evil is a little bit like worrying about overpopulation on Mars.”
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