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’[…]

Stitching a patient back together after surgery is a vital but monotonous task for medics, often requiring them to repeat the same simple movements over and over hundreds of times. But thanks to a collaborative effort between Intel and the University of California, Berkeley, tomorrow’s surgeons could offload that grunt work to robots — like Read more about Researchers taught a robot to suture by showing it surgery videos[…]

Researchers have found a way to turn simple line drawings into photo-realistic facial images. Developed by a team at the Chinese Academy of Sciences in Beijing, DeepFaceDrawing uses artificial intelligence to help “users with little training in drawing to produce high-quality images from rough or even incomplete freehand sketches.” This isn’t the first time we’ve Read more about ‘DeepFaceDrawing’ AI can turn simple sketches into detailed photo portraits[…]

The typical approach to increasing the resolution of an image is to start with the low-res version and use intelligent algorithms to predict and add additional details and pixels in order to artificially generate a high-res version. But because a low-res version of an image can lack significant details, fine features are often lost in Read more about Researchers Have Created a Tool That Can Perfectly Depixelate Faces[…]

Over the past few months, OpenAI has vacuumed an incredible amount of data into its artificial intelligence language systems. It sucked up Wikipedia, a huge swath of the rest of the internet and tons of books. This mass of text – trillions of words – was then analyzed and manipulated by a supercomputer to create what Read more about Trillions of Words Analyzed, OpenAI Sets Loose AI Language Colossus – The API[…]

Artificial intelligence turning your photos into art It uses the stylistic elements of one image to draw the content of another. Get your own artwork in just three steps. Upload photo The first picture defines the scene you would like to have painted. Choose style Choose among predefined styles or upload your own style image. Read more about deepart.io turns your picture into versions of existing art pictures[…]

At Microsoft, 47,000 developers generate nearly 30 thousand bugs a month. These items get stored across over 100 AzureDevOps and GitHub repositories. To better label and prioritize bugs at that scale, we couldn’t just apply more people to the problem. However, large volumes of semi-curated data are perfect for machine learning. Since 2001 Microsoft has Read more about Secure the software development lifecycle with machine learning[…]

In February, Oracle slung out a data science platform that integrated real-time analytics with its databases. That’s all well and good if developers are OK with the stack having a distinctly Big Red hue, but maybe they want choice. This week, Redis Labs came up with something for users looking for help with the performance Read more about Live analytics without vendor lock-in? It’s more likely than you think, says Redis Labs[…]

et’s explore a bit how this method works. The whole process is separated into two parts: Motion Extraction and Generation. As an input the source image and driving video are used. Motion extractor utilizes autoencoder to detect keypoints and extracts first-order motion representation that consists of sparse keypoints and local affine transformations. These, along with Read more about Create Deepfakes in 5 Minutes with First Order Model Method[…]

We use artificial intelligence to make up new English words. Source: This Word Does Not Exist adjective. barbotic bar·botic relating to or denoting bioluminescence, the emission of a characteristic light-sensitive ion “the bola-shaped auroral barbotic organ” a word that does not exist; it was invented, defined and used by a machine learning algorithm. Link / Read more about This Word Does Not Exist[…]

Facebook AI has built and open-sourced Blender, the largest-ever open-domain chatbot. It outperforms others in terms of engagement and also feels more human, according to human evaluators. The culmination of years of research in conversational AI, this is the first chatbot to blend a diverse set of conversational skills — including empathy, knowledge, and personality Read more about Facebook releases Blender AI Chatbot sources[…]

The covid-19 pandemic is stretching hospital resources to the breaking point in many countries in the world. It is no surprise that many people hope  AI could speed up patient screening and ease the strain on clinical staff. But a study from Google Health—the first to look at the impact of a deep-learning tool in Read more about Google’s medical AI was super accurate in a lab. Real life was a different story, so they need to tweak[…]

Google Translate today launched Transcribe for Android, a feature that delivers a continual, real-time translation of a conversation. Transcribe will begin by rolling out support for eight languages in the coming days: English, French, German, Hindi, Portuguese, Russian, Spanish and Thai. With Transcribe, Translate is now capable of translating classroom or conference lectures with no Read more about Google Translate launches Transcribe for Android in 8 languages[…]

TensorFlow Quantum (TFQ) is a quantum machine learning library for rapid prototyping of hybrid quantum-classical ML models. Research in quantum algorithms and applications can leverage Google’s quantum computing frameworks, all from within TensorFlow. TensorFlow Quantum focuses on quantum data and building hybrid quantum-classical models. It integrates quantum computing algorithms and logic designed in Cirq, and Read more about TensorFlow Quantum[…]

Jason Mayes apparently likes to do things the hard way: He’s developed an AI-powered tool for browsers that can erase people from live webcam feeds in real-time but leave everything else in the shot. Mayes is a Google web engineer who developed his Disappearing-People tool using Javascript and TensorFlow, which is Google’s free, open source Read more about Browser Tool Erases People From Live Webcam Feeds in Real Time[…]