NVIDIA Research has invented a way to use AI to dramatically reduce video call bandwidth while simultaneously improving quality. What the researchers have achieved has remarkable results: by replacing the traditional h.264 video codec with a neural network, they have managed to reduce the required bandwidth for a video call by an order of magnitude. Read more about NVIDIA Uses AI to Slash Bandwidth on Video Calls[…]

New Jetson Nano mini AI computer The Jetson Nano 2GB Developer Kit, announced this week, is a single-board computer – like the Raspberry Pi – though geared towards machine learning rather than general computing. If you like the idea of simple AI projects running on a dedicated board, such as building your own mini self-driving Read more about Nvidia unveils $59 Nvidia Jetson Nano 2GB mini AI board[…]

In the endlessly escalating war between those striving to create flawless deepfake videos and those developing automated tools that make them easy to spot, the latter camp has found a very clever way to expose videos that have been digitally modified by looking for literal signs of life: a person’s heartbeat. If you’ve ever had Read more about FakeCatcher Deepfake Tool looks for a heartbeat[…]

The European Laboratory for Learning and Intelligent Systems (ELLIS) is officially launching its 30 ELLIS research units on Tuesday, September 15. Since the first 17 units were announced in December 2019, the ELLIS initiative has gained significant momentum, adding another 13 units at top research institutions across Europe. To highlight this rapid progress toward securing Read more about Official launch of ELLIS Units – 15th of September 2020! | European Lab for Learning & Intelligent Systems[…]

TikTok Wednesday revealed some of the elusive workings of the prized algorithm that keeps hundreds of millions of users worldwide hooked on the viral video app. […] TikTok’s algorithm uses machine learning to determine what content a user is most likely to engage with and serve them more of it, by finding videos that are Read more about TikTok reveals details of how its algorithm works[…]

Simmons, who is a history professor herself. Then, Lazare clarified that he’d received his grade less than a second after submitting his answers. A teacher couldn’t have read his response in that time, Simmons knew — her son was being graded by an algorithm. Simmons watched Lazare complete more assignments. She looked at the correct Read more about These students figured out their tests were graded by AI — and the easy way to cheat – The Verge[…]

Visa Inc. said Wednesday it has developed a more advanced artificial intelligence system that can approve or decline credit and debit transactions on behalf of banks whose own networks are down. The decision to approve or deny a transaction typically is made by the bank. But bank networks can crash because of natural disasters, buggy Read more about Visa Unveils More Powerful AI Tool That Approves or Denies Card Transactions[…]

AI’s growing catalog of applications and methods has the potential to profoundly affect public policy by generating instances where regulations are not adequate to confront the issues faced by society, also known as regulatory gaps. The objective of this dissertation is to improve our understanding of how AI influences U.S. public policy. It systematically explores, Read more about The Unforeseen Consequences of Artificial Intelligence (AI) on Society: A Systematic Review of Regulatory Gaps Generated by AI in the U.S. | RAND[…]

The minute details of rogue drone’s movements in the air may unwittingly reveal the drone pilot’s location—possibly enabling authorities to bring the drone down before, say, it has the opportunity to disrupt air traffic or cause an accident. And it’s possible without requiring expensive arrays of radio triangulation and signal-location antennas. So says a team Read more about AI tracks drone pilot’s location through the small movements the drone makes[…]

Space seems empty and therefore the perfect environment for radio communications. Don’t let that fool you: There’s still plenty that can disrupt radio communications. Earth’s fluctuating ionosphere can impair a link between a satellite and a ground station. The materials of the antenna can be distorted as it heats and cools. And the near-vacuum of Read more about Cognitive Radios Will Go Where No Deep-Space Mission Has Gone Before[…]

Researchers at the University of Chicago’s Sand Lab have developed a technique for tweaking photos of people so that they sabotage facial-recognition systems. The project, named Fawkes in reference to the mask in the V for Vendetta graphic novel and film depicting 16th century failed assassin Guy Fawkes, is described in a paper scheduled for Read more about Sick of AI engines scraping your pics for facial recognition? Fawkes breaks the AI for you[…]

Today, UNESCO is launching a global online consultation on the ethics of artificial intelligence, to give everyone around the world the opportunity to participate in the work of its international group of experts on AI. This group has been charged with producing the first draft of a Recommendation on the Ethics of AI, to be Read more about UNESCO launches worldwide online public consultation on the ethics of artificial intelligence[…]

Drone swarms frequently fly outside for a reason: it’s difficult for the robotic fliers to navigate in tight spaces without hitting each other. Caltech researchers may have a way for those drones to fly indoors, however. They’ve developed a machine learning algorithm, Global-to-Local Safe Autonomy Synthesis (GLAS), that lets swarms navigate crowded, unmapped environments. The Read more about AI helps drone swarms navigate through crowded, unfamiliar spaces[…]

Following Canada’s lead earlier this week, privacy watchdogs in Britain and Australia today launched a joint investigation into how Clearview AI harvests and uses billions of images it scraped from the internet to train its facial-recognition algorithms. The startup boasted it had collected a database packed with more than three billion photos downloaded from people’s Read more about Privacy watchdogs from the UK, Australia team up, snap on gloves to probe AI-for-cops creeeps Clearview[…]

Cops in Detroit have admitted using facial-recognition technology that fails to accurately identify potential suspects a whopping 96 per cent of the time. The revelation was made by the American police force’s chief James Craig during a public hearing, this week. Craig was grilled over the wrongful arrest of Robert Williams, who was mistaken as Read more about Detroit cops employed facial recognition algos that only misidentifies suspects 96 per cent of the time[…]

Researchers from the University of Warwick, Imperial College London, EPFL (Lausanne) and Sciteb Ltd have found a mathematical means of helping regulators and business manage and police Artificial Intelligence systems’ biases towards making unethical, and potentially very costly and damaging commercial choices—an ethical eye on AI. Artificial intelligence (AI) is increasingly deployed in commercial situations. Read more about New mathematical idea reins in AI bias towards making unethical and costly commercial choices[…]

the Monarch of Meat announced a campaign that takes advantage of some sloppy sign recognition in the Tesla Autopilot’s Traffic Light and Stop Sign control, specifically in instances where the Tesla confuses a Burger King sign for a stop sign (maybe a “traffic control” sign?) and proceeds to stop the car, leaving the occupants of Read more about Burger King Is Leveraging Tesla Autopilot’s Confusion To Sell Whoppers[…]

Sponge Examples: Energy-Latency Attacks on Neural Networks shows how to find adversarial examples that cause a DNN to burn more energy, take more time, or both. They affect a wide range of DNN applications, from image recognition to natural language processing (NLP). Adversaries might use these examples for all sorts of mischief – from draining Read more about How to jam neural networks[…]

We’ve trained a large-scale unsupervised language model which generates coherent paragraphs of text, achieves state-of-the-art performance on many language modeling benchmarks, and performs rudimentary reading comprehension, machine translation, question answering, and summarization—all without task-specific training. Our model, called GPT-2 (a successor to GPT), was trained simply to predict the next word in 40GB of Internet Read more about OpenAI GPT-2 creates credible texts from minimal input[…]

A new digital tool built to depixelize photos sounds scary and bad. Another way to remove privacy from the world. But this tool is also being used for a sillier and not terrible purpose: Depixelizng old game characters. The results are…nevermind, this is also a terrible use of this tool. “Face Depixelizer” is a tool Read more about Depixelizing Video Game Characters using AI Creates Monsters[…]

Machine learning models built for doing business prior to the COVID-19 pandemic will no longer be valid as economies emerge from lockdowns, presenting companies with new challenges in machine learning and enterprise data management, according to Gartner. The research group has reported that “the extreme disruption in the aftermath of COVID-19… has invalidated many models Read more about Machine-learning models trained on pre-COVID data are now completely out of whack, says Gartner[…]

a neural network can be trained to identify photos of dogs by sifting through a large number of photos, making a guess about whether the photo is of a dog, seeing how far off it is and then adjusting its weights and biases until they are closer to reality. The drawback to this neural network Read more about Teaching physics to neural networks removes ‘chaos blindness’[…]