You probably haven’t seen PimEyes, a mysterious facial-recognition search engine, but it may have spotted you. If you upload a picture of your face to PimEyes’ website, it will immediately show you any pictures of yourself that the company has found around the internet. You might recognize all of them, or be surprised (or, perhaps, Read more about PimEyes: a powerful facial-recognition and finding tool – like Clearview AI but for free[…]

AI Dungeon, which uses OpenAI’s GPT-3 to create online text adventures with players, has a habit of acting out sexual encounters with not just fictional adults but also children, prompting the developer to add a content filter. AI Dungeon is straightforward: imagine an online improvised Zork with an AI generating the story with you as Read more about AI Dungeon text adventure generator’s sessions generate NSFW + violence (turns out people like porn), but some involved sex with children. So they put a filter on.[…]

the draft “Regulation On A European Approach For Artificial Intelligence” leaked earlier this week, it made quite the splash – and not just because it’s the size of a novella. It goes to town on AI just as fiercely as GDPR did on data, proposing chains of responsibility, defining “high risk AI” that gets the Read more about EU draft AI regulation is leaked. Deostn’ define what AI is, but what risk is and how to handle it.[…]

Monster Mash, an open source tool presented at SIGGRAPH Asia 2020 that allows experts and amateurs alike to create rich, expressive, deformable 3D models from scratch — and to animate them — all in a casual mode, without ever having to leave the 2D plane. With Monster Mash, the user sketches out a character, and Read more about Google AI Blog: Monster Mash: A Sketch-Based Tool for Casual 3D Modeling and Animation[…]

Sound location technology has often been patterned around the human ear, but why do that when bats are clearly better at it? Virginia Tech researchers have certainly asked that question. They’ve developed a sound location system that mates a bat-like ear design with a deep neural network to pinpoint sounds within half a degree — Read more about Sound location inspired by bat ears could help robots navigate outdoors[…]

On the 27th anniversary of Kurt Cobain’s death, Engadget reports: Were he still alive today, Nirvana frontman Kurt Cobain would be 52 years old. Every February 20th, on the day of his birthday, fans wonder what songs he would write if he hadn’t died of suicide nearly 30 years ago. While we’ll never know the Read more about Mixed Reactions to New Nirvana Song Generated by Google’s AI[…]

Yandex Yandex Yandex, Russia’s multi-hyphenate internet giant, began testing its autonomous cars on Moscow’s icy winter roads over three years ago. The goal was to create a “universal” self-driving vehicle that could safely maneuver around different cities across the globe. Now, Yandex says its trials have been a resounding success. The vehicles recently hit a major Read more about Yandex’s autonomous cars have driven over six million miles in ‘challenging conditions’ in Moscow[…]

Facebook has taken the wraps off a project called Learning from Videos. It uses artificial intelligence to understand and learn audio, textual, and visual representations in public user videos on the social network. Learning from Videos has a number of aims, such as improving Facebook AI systems related to content recommendations and policy enforcement. The Read more about Facebook is using AI to understand videos and create new products[…]

A Bucks County woman anonymously sent coaches on her teen daughter’s cheerleading squad fake photos and videos that depicted the girl’s rivals naked, drinking, or smoking, all in a bid to embarrass them and force them from the team, prosecutors say. The woman, Raffaela Spone, also sent the manipulated images to the girls, and, in Read more about Bucks County woman created ‘deepfake’ videos to harass rivals on her daughter’s cheerleading squad, DA says[…]

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[…]