Google Health’s so-called augmented-reality microscope has proven surprisingly accurate at detecting and diagnosing cancerous tumors in real time. The device is essentially a standard microscope decked out with two extra components: a camera, and a computer running AI software with an Nvidia Titan Xp GPU to accelerate the number crunching. The camera continuously snaps images Read more about Google  Neural net can spot breast, prostate tumors through microscope[…]

The Humanitarian Data Exchange (HDX) is an open platform for sharing data across crises and organisations. Launched in July 2014, the goal of HDX is to make humanitarian data easy to find and use for analysis. Our growing collection of datasets has been accessed by users in over 200 countries and territories. Watch this video Read more about Humanitarian Data Exchange[…]

The way the robots work is simple. Guided by cameras and computer systems trained to recognize specific objects, the robots’ arms glide over moving conveyor belts until they reach their target. Oversized tongs or fingers with sensors that are attached to the arms snag cans, glass, plastic containers, and other recyclable items out of the Read more about Meet the AI robots being used to help solve America’s recycling crisis[…]

For example, aspirin was discovered in 1897, and an explanation of how it works followed in 1995. That, in turn, has spurred some research leads on making better pain relievers through something other than trial and error. This kind of discovery — answers first, explanations later — I call “intellectual debt.” We gain insight into Read more about Intellectual Debt (in AI): With Great Power Comes Great Ignorance[…]

The two worked together to bring a training method called Population Based Training (PBT for short) to bear on Waymo’s challenge of building better virtual drivers, and the results were impressive — DeepMind says in a blog post that using PBT decreased by 24% false positives in a network that identifies and places boxes around Read more about Waymo and DeepMind mimic evolution to develop a new, better way to train self-driving AI[…]

Researchers from IBM’s Computational Systems Biology group in Zurich are working on AI and machine learning (ML) approaches to “help to accelerate our understanding of the leading drivers and molecular mechanisms of these complex diseases,” as well as methods to improve our knowledge of tumor composition. “Our goal is to deepen our understanding of cancer Read more about IBM gives cancer-killing drug AI projects to the open source community[…]

Jiaming Luo and Regina Barzilay from MIT and Yuan Cao from Google’s AI lab in Mountain View, California. This team has developed a machine-learning system capable of deciphering lost languages, and they’ve demonstrated it by having it decipher Linear B—the first time this has been done automatically. The approach they used was very different from Read more about Machine learning has been used to automatically translate long-lost languages[…]

AI systems have weird memories. The machines desperately cling onto the data they’ve been trained on, making it difficult to delete bits of it. In fact, they often have to be completely retrained from scratch with the newer, smaller dataset. That’s no good in an age where individuals can request their personal data be removed Read more about Good luck deleting someone’s private info from a trained neural network – it’s likely to bork the whole thing[…]

Computer scientists have developed a card-playing bot, called Pluribus, capable of defeating some of the world’s best players at six-person no-limit Texas hold’em poker, in what’s considered an important breakthrough in artificial intelligence. Two years ago, a research team from Carnegie Mellon University developed a similar poker-playing system, called Libratus, which consistently defeated the world’s Read more about ‘Superhuman’ AI Crushes Poker Pros at Six-Player Texas Hold’em[…]

In a study published in Nature on July 3, researchers from the Lawrence Berkeley National Laboratory used an algorithm called Word2Vec sift through scientific papers for connections humans had missed. Their algorithm then spit out predictions for possible thermoelectric materials, which convert heat to energy and are used in many heating and cooling applications. The Read more about AI Trained on Old Scientific Papers Makes Discoveries Humans Missed[…]

The accuracy of the neural network is judged by how similar its outputs were to the ones created by two more traditional N-body simulation systems, FastPM and 2LPT, when all three are given the same inputs. When D3M was tasked with producing 1,000 simulations from 1,000 sets of input data, it had a relative error Read more about That this AI can simulate universes in 30ms is not the scary part. It’s that its creators don’t know why it works so well[…]

A group of policy experts assembled by the EU has recommended that it ban the use of AI for mass surveillance and mass “scoring of individuals”; a practice that potentially involves collecting varied data about citizens — everything from criminal records to their behavior on social media — and then using it to assess their Read more about EU should ban AI-powered citizen scoring and mass surveillance, say experts[…]

Engineers and researchers from Samsung’s AI Center in Moscow and Skolkovo Institute of Science and Technology have created a model that can generate realistic animated talking heads from images without relying on traditional methods, like 3D modeling. […] “Effectively, the learned model serves as a realistic avatar of a person,” said engineer Egor Zakharov in Read more about Samsung’s AI animates paintings and photos without 3D modeling[…]

DARPA, the US military research arm, has launched a program to train fighter jets to engage in aerial battle autonomously with the help of AI algorithms. The Air Combat Evolution (ACE) program seeks to create military planes that are capable of performing combat maneuvers for dogfighting without the help of human pilots. Vehicles won’t be Read more about DARPA wants to develop AI fighter program to augment human pilots[…]

A new deep learning algorithm can generate high-resolution, photorealistic images of people — faces, hair, outfits, and all — from scratch. The AI-generated models are the most realistic we’ve encountered, and the tech will soon be licensed out to clothing companies and advertising agencies interested in whipping up photogenic models without paying for lights or a catering budget. At Read more about Amazing AI Generates Entire Bodies of People Who Don’t Exist[…]

Why did the frog cross the road? Well, a new artificial intelligent (AI) agent that can play the classic arcade game Frogger not only can tell you why it crossed the road, but it can justify its every move in everyday language. Developed by Georgia Tech, in collaboration with Cornell and the University of Kentucky, the Read more about Research Findings May Lead to More Explainable AI | College of Computing[…]

Electronic health records store valuable information about hospital patients, but they’re often sparse and unstructured, making them difficult for potentially labor- and time-saving AI systems to parse. Fortunately, researchers at New York University and Princeton have developed a framework that evaluates clinical notes (i.e., descriptions of symptoms, reasons for diagnoses, and radiology results) and autonomously Read more about AI predicts hospital readmission rates from clinical notes[…]

OpenAI, a leading machine-learning lab, has launched for-profit spin-off OpenAI LP – so it can put investors’ cash toward the expensive task of building artificial general intelligence. The San-Francisco-headquartered organisation was founded in late 2015 as a nonprofit, with a mission to build, and encourage the development of, advanced neural network systems that are safe Read more about Nonprofit OpenAI looks at the bill to craft a Holy Grail AGI, gulps, spawns commercial arm to bag investors’ mega-bucks – the end of Open in OpenAI?[…]

Generative AI models have a propensity for learning complex data distributions, which is why they’re great at producing human-like speech and convincing images of burgers and faces. But training these models requires lots of labeled data, and depending on the task at hand, the necessary corpora are sometimes in short supply. The solution might lie in Read more about Researchers are training image-generating AI with fewer labels by letting the model infer the labels[…]

Google today introduced TensorFlow Lite 1.0, its framework for developers deploying AI models on mobile and IoT devices. Improvements include selective registration and quantization during and after training for faster, smaller models. Quantization has led to 4 times compression of some models. “We are going to fully support it. We’re not going to break things Read more about Google launches TensorFlow Lite 1.0 for mobile and embedded devices[…]

Wind power has become increasingly popular, but its success is limited by the fact that wind comes and goes as it pleases, making it hard for power grids to count on the renewable energy and less likely to fully embrace it. While we can’t control the wind, Google has an idea for the next best Read more about Google’s DeepMind can predict wind energy income a day in advance[…]