Latest from MIT : Explained: How to tell if artificial intelligence is working the way we want it to

About a decade ago, deep-learning models started achieving superhuman results on all sorts of tasks, from beating world-champion board game players to outperforming doctors at diagnosing breast cancer. These powerful deep-learning models are usually based on artificial neural networks, which were first proposed in the 1940s and have become a popular type of machine learning….

Latest from Google AI – Training Generalist Agents with Multi-Game Decision Transformers

Posted by Winnie Xu, Student Researcher and Kuang-Huei Lee, Software Engineer, Google Research, Brain Team Current deep reinforcement learning (RL) methods can train specialist artificial agents that excel at decision-making on various individual tasks in specific environments, such as Go or StarCraft. However, little progress has been made to extend these results to generalist agents…

Latest from MIT Tech Review – A digital human could be your next favorite celebrity—or financial advisor

When one of China’s biggest celebrities, Simon Gong—also known as Gong Jun—released a new music video in June 2022, it quickly attracted 15 million views on the country’s Twitter-like microblogging site Weibo. But the event also stood out for a different reason—one that only eagle-eyed fans might have noticed. The singer in the video was not…

Latest from MIT : A technique to improve both fairness and accuracy in artificial intelligence

For workers who use machine-learning models to help them make decisions, knowing when to trust a model’s predictions is not always an easy task, especially since these models are often so complex that their inner workings remain a mystery. Users sometimes employ a technique, known as selective regression, in which the model estimates its confidence…

Latest from MIT Tech Review – OpenAI is selling DALL-E to its first million customers

Around 100,000 people have played with OpenAI’s latest image-making program DALL-E 2 since its invite-only launch in April. Today the San Francisco-based company opens the door to a million more, MIT Technology Review can reveal. OpenAI is turning its research project into a commercial product, launching the DALL-E Beta, which will be available as a…

Latest from Google AI – Simplified Transfer Learning for Chest Radiography Model Development

Posted by Akib Uddin, Product Manager and Andrew Sellergren, Software Engineer, Google Health Every year, nearly a billion chest X-ray (CXR) images are taken globally to aid in the detection and management of health conditions ranging from collapsed lungs to infectious diseases. Generally, CXRs are cheaper and more accessible than other forms of medical imaging….

Latest from MIT Tech Review – Sony’s racing AI destroyed its human competitors by being nice (and fast)

“Wait, what? How?” Emily Jones wasn’t used to being left behind. A top sim-racing driver with multiple wins to her name, Jones jerked the steering wheel in the esports rig, eyes fixed on the screen in front of her: “I’m pushing way too hard to keep up— How does it do that?” Her staccato commentary…

Latest from Google AI – Google at ICML 2022

Posted by Cat Armato, Program Manager, University Relations Google is a leader in machine learning (ML) research with groups innovating across virtually all aspects of the field, from theory to application. We build machine learning systems to solve deep scientific and engineering challenges in areas of language, music, visual processing, algorithm development, and more. Core…

Latest from Google AI – Towards Reliability in Deep Learning Systems

Posted by Dustin Tran and Balaji Lakshminarayanan, Research Scientists, Google Research Deep learning models have made impressive progress in vision, language, and other modalities, particularly with the rise of large-scale pre-training. Such models are most accurate when applied to test data drawn from the same distribution as their training set. However, in practice, the data…