Known as SEER, short for SElf-supERvised, this massive convolutional neural network contains over a billion parameters. If you show it images of things, it will describe in words what it recognizes: a bicycle, a banana, a red-and-blue striped golfing umbrella, and so on. While its capabilities aren’t all that novel, the way it was trained Read more about Facebook uses one billion Instagram photos to build massive object-recognition AI that partly trained itself[…]

The Next Web tells the story of an AI researcher who discovered the results of a machine learning research paper couldn’t be reproduced. But then they’d heard similar stories from Reddit’s Machine Learning forum: “Easier to compile a list of reproducible ones…,” one user responded. “Probably 50%-75% of all papers are unreproducible. It’s sad, but Read more about Furious AI Researcher Creates Site Shaming Non-Reproducible Machine Learning Papers[…]

In a bid to prove that its robot drivers are safer than humans, Waymo simulated dozens of real-world fatal crashes that took place in Arizona over nearly a decade. The Google spinoff discovered that replacing either vehicle in a two-car crash with its robot-guided minivans would nearly eliminate all deaths, according to data it publicized Read more about Waymo simulated (not very many) real-world (if the world was limited to 100 sq miles) crashes to prove its self-driving cars can prevent deaths[…]

Late last week, a website called Faces of the Riot appeared online, showing nothing but a vast grid of more than 6,000 images of faces, each one tagged only with a string of characters associated with the Parler video in which it appeared. The site’s creator tells WIRED that he used simple, open source machine-learning Read more about This site posted every face from Parler’s Capitol Hill insurrection videos[…]

Prostate cancer is one of the most common cancers among men. Patients are determined to have prostate cancer primarily based on PSA, a cancer factor in blood. However, as diagnostic accuracy is as low as 30%, a considerable number of patients undergo additional invasive biopsy and thus suffer from resultant side effects, such as bleeding Read more about Prostate Cancer can be precisely diagnosed using a urine test with artificial intelligence[…]

with DALL-E (a portmanteau of “Wall-E” and “Dali”), an AI app that can create an image out of nearly any description. For example, if you ask for “a cat made of sushi” or a “high quality illustration of a giraffe turtle chimera,” it will deliver those things, often with startlingly good quality (and sometimes not).DALL-E Read more about ‘DALL-E’ AI generates an image out of anything you describe[…]

Artificial intelligence is classifying real supernova explosions without the traditional use of spectra, thanks to a team of astronomers at the Center for Astrophysics | Harvard & Smithsonian. The complete data sets and resulting classifications are publicly available for open use. By training a machine learning model to categorize supernovae based on their visible characteristics, Read more about Artificial intelligence classifies supernova explosions with unprecedented accuracy[…]

Loon, known for its giant billowing broadband-beaming balloons, says it has figured out how to use machine-learning algorithms to keep its lofty vehicles hovering in place autonomously in the stratosphere. The 15-metre-wide balloons relay internet connections between people’s homes and ground stations that could be thousands of kilometres apart. To form a steady network that Read more about Alphabet’s internet Loon balloon kept on station in the sky using AI that beat human-developed control code[…]

Researchers have made a major breakthrough using artificial intelligence that could revolutionize the hunt for new medicines. The scientists have created A.I. software that uses a protein’s DNA sequence to predict its three-dimensional structure to within an atom’s width of accuracy. The achievement, which solves a 50-year-old challenge in molecular biology, was accomplished by a Read more about DeepMind’s A.I. can now predict protein shapes from their DNA sequences | Fortune[…]

one group of researchers has been focused on what autonomous driving systems might see that a human driver doesn’t—including “phantom” objects and signs that aren’t really there, which could wreak havoc on the road. Researchers at Israel’s Ben Gurion University of the Negev have spent the last two years experimenting with those “phantom” images to Read more about Split-Second ‘Phantom’ Images Can Fool Tesla’s Autopilot[…]

Researchers at Google claim to have developed a machine learning model that can separate a sound source from noisy, single-channel audio based on only a short sample of the target source. In a paper, they say their SoundFilter system can be tuned to filter arbitrary sound sources, even those it hasn’t seen during training. The Read more about Google’s SoundFilter AI separates any sound or voice from mixed-audio recordings[…]

Training OpenAI’s giant GPT-3 text-generating model is akin to driving a car to the Moon and back, computer scientists reckon. More specifically, they estimated teaching the neural super-network in a Microsoft data center using Nvidia GPUs required roughly 190,000 kWh, which using the average carbon intensity of America would have produced 85,000 kg of CO2 Read more about Carbon footprint for ‘training GPT-3’ AI same as driving to the moon and back[…]

Unless you’re a physicist or an engineer, there really isn’t much reason for you to know about partial differential equations. I know. After years of poring over them in undergrad while studying mechanical engineering, I’ve never used them since in the real world. But partial differential equations, or PDEs, are also kind of magical. They’re Read more about AI has cracked a key mathematical puzzle for understanding our world – Partial Differential Equations[…]

We’re delighted to announce you can now take advantage of graph-native machine learning (ML) inside of Neo4j! We’ve just released a preview of Neo4j’s Graph Data Science™ Library version 1.4, which includes graph embeddings and an ML model catalog. Together, these enable you to create representations of your graph and make graph predictions – all Read more about Announcing: Graph-Native Machine Learning in Neo4j![…]

Back in January, Google Health, the branch of Google focused on health-related research, clinical tools, and partnerships for health care services, released an AI model trained on over 90,000 mammogram X-rays that the company said achieved better results than human radiologists. Google claimed that the algorithm could recognize more false negatives — the kind of Read more about Google’s breast cancer-predicting AI research is useless without transparency, critics say[…]

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[…]