Latest from MIT : Security tool guarantees privacy in surveillance footage

Surveillance cameras have an identity problem, fueled by an inherent tension between utility and privacy. As these powerful little devices have cropped up seemingly everywhere, the use of machine learning tools has automated video content analysis at a massive scale — but with increasing mass surveillance, there are currently no legally enforceable rules to limit…

Latest from Google AI – Detecting Signs of Disease from External Images of the Eye

Posted by Boris Babenko, Software Engineer and Naama Hammel, Clinical Research Scientist, Google Health Three years ago we wrote about our work on predicting a number of cardiovascular risk factors from fundus photos (i.e., photos of the back of the eye)1 using deep learning. That such risk factors could be extracted from fundus photos was…

Latest from Google AI – Auto-generated Summaries in Google Docs

Posted by Mohammad Saleh, Software Engineer, Google Research, Brain Team and Anjuli Kannan, Software Engineer, Google Docs For many of us, it can be challenging to keep up with the volume of documents that arrive in our inboxes every day: reports, reviews, briefs, policies and the list goes on. When a new document is received,…

UC Berkeley – Accelerating Ukraine Intelligence Analysis with Computer Vision on Synthetic Aperture Radar Imagery

Figure 1: Airmass measurements over Ukraine from February 18, 2022 – March 01, 2022 from the SEVIRI instrument. Data accessed via the EUMETSAT Viewer. Satellite imagery is a critical source of information during the current invasion of Ukraine. Military strategists, journalists, and researchers use this imagery to make decisions, unveil violations of international agreements, and…

Latest from MIT : 3 Questions: How the MIT mini cheetah learns to run

It’s been roughly 23 years since one of the first robotic animals trotted on the scene, defying classical notions of our cuddly four-legged friends. Since then, a barrage of the walking, dancing, and door-opening machines have commanded their presence, a sleek mixture of batteries, sensors, metal, and motors. Missing from the list of cardio activities…

Latest from Google AI – Offline Optimization for Architecting Hardware Accelerators

Posted by Amir Yazdanbakhsh, Research Scientist and Aviral Kumar, Student Researcher, Google Research Advances in machine learning (ML) often come with advances in hardware and computing systems. For example, the growth of ML-based approaches in solving various problems in vision and language has led to the development of application-specific hardware accelerators (e.g., Google TPUs and…

Latest from MIT : Handheld surgical robot can help stem fatal blood loss

After a traumatic accident, there is a small window of time when medical professionals can apply lifesaving treatment to victims with severe internal bleeding. Delivering this type of care is complex, and key interventions require inserting a needle and catheter into a central blood vessel, through which fluids, medications, or other aids can be given….

Latest from MIT : How artificial intelligence can help combat systemic racism

In 2020, Detroit police arrested a Black man for shoplifting almost $4,000 worth of watches from an upscale boutique. He was handcuffed in front of his family and spent a night in lockup. After some questioning, however, it became clear that they had the wrong man. So why did they arrest him in the first…

Latest from MIT Tech Review – What do psychedelic drugs do to our brains? AI could help us find out

Psychedelic drugs have long been touted as possible treatments for mental-health disorders like depression and PTSD. But very little is really known about what these substances actually do to our brains—and it can be hard to find out. Understanding how they work could help unlock their potential. Some scientists are using AI to figure it…

Latest from Google AI – Hybrid Quantum Algorithms for Quantum Monte Carlo

Posted by William J. Huggins, Research Scientist, Google Quantum AI The intersection between the computational difficulty and practical importance of quantum chemistry challenges run on quantum computers has long been a focus for Google Quantum AI. We’ve experimentally simulated simple models of chemical bonding, high-temperature superconductivity, nanowires, and even exotic phases of matter such as…