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…

Latest from Google AI – Multimodal Bottleneck Transformer (MBT): A New Model for Modality Fusion

Posted by Arsha Nagrani and Chen Sun, Research Scientists, Google Research, Perception Team People interact with the world through multiple sensory streams (e.g., we see objects, hear sounds, read words, feel textures and taste flavors), combining information and forming associations between senses. As real-world data consists of various signals that co-occur, such as video frames…

Latest from MIT : When it comes to AI, can we ditch the datasets?

Huge amounts of data are needed to train machine-learning models to perform image classification tasks, such as identifying damage in satellite photos following a natural disaster. However, these data are not always easy to come by. Datasets may cost millions of dollars to generate, if usable data exist in the first place, and even the…

Latest from MIT : Computational modeling guides development of new materials

Metal-organic frameworks, a class of materials with porous molecular structures, have a variety of possible applications, such as capturing harmful gases and catalyzing chemical reactions. Made of metal atoms linked by organic molecules, they can be configured in hundreds of thousands of different ways. To help researchers sift through all of the possible metal-organic framework…

Latest from Google AI – Optimizing Airline Tail Assignments for Cleaner Skies

Posted by Emily Masten, Software Engineer, Google Research, Operations Research Team Airlines around the world are exploring several tactics to meet aggressive CO2 commitments set by the International Civil Aviation Organization (ICAO). This effort has been emphasized in Europe, where aviation accounts for 13.9% of the transportation industry’s carbon emissions. The largest push comes from…

Latest from MIT Tech Review – AI is helping treat healthcare as if it’s a supply chain problem

Running a healthcare system is like juggling bees. Millions of moving pieces—from mobile clinics to testing kits—need to be in the right places at the right time. That’s even harder to do in countries with limited resources and endemic disease. But getting stuff where it’s needed is a problem big companies deal with all the…