Latest from MIT Tech Review – AI builds momentum for smarter health care

The pharmaceutical industry operates under one of the highest failure rates of any business sector. The success rate for drug candidates entering capital Phase 1 trials—the earliest type of clinical testing, which can take 6 to 7 years—is anywhere between 9% and 12%, depending on the year, with costs to bring a drug from discovery…

Latest from MIT Tech Review – This new tool could protect your pictures from AI manipulation

Remember that selfie you posted last week? There’s currently nothing stopping someone taking it and editing it using powerful generative AI systems. Even worse, thanks to the sophistication of these systems, it might be impossible to prove that the resulting image is fake.  The good news is that a new tool, created by researchers at…

Latest from Google AI – In search of a generalizable method for source-free domain adaptation

Posted by Eleni Triantafillou, Research Scientist, and Malik Boudiaf, Student Researcher, Google Deep learning has recently made tremendous progress in a wide range of problems and applications, but models often fail unpredictably when deployed in unseen domains or distributions. Source-free domain adaptation (SFDA) is an area of research that aims to design methods for adapting…

Latest from MIT : A simpler method for learning to control a robot

Researchers from MIT and Stanford University have devised a new machine-learning approach that could be used to control a robot, such as a drone or autonomous vehicle, more effectively and efficiently in dynamic environments where conditions can change rapidly. This technique could help an autonomous vehicle learn to compensate for slippery road conditions to avoid…

Latest from MIT Tech Review – Generative AI is empowering the digital workforce

Many people think of generative AI as a tool that allows them to use their own words to ask questions or generate copy and images—both of which it does remarkably well. However, it also has incredible potential to transform our personal and professional work—helping us access, consume, and utilize the untapped information that floods our…

Latest from MIT Tech Review – It’s high time for more AI transparency

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. That was fast. In less than a week since Meta launched its AI model, LLaMA 2, startups and researchers have already used it to develop a chatbot and an AI assistant. It will be only a matter…

Latest from MIT : A new dataset of Arctic images will spur artificial intelligence research

As the U.S. Coast Guard (USCG) icebreaker Healy takes part in a voyage across the North Pole this summer, it is capturing images of the Arctic to further the study of this rapidly changing region. Lincoln Laboratory researchers installed a camera system aboard the Healy while at port in Seattle before it embarked on a…

Latest from Google AI – Google at ICML 2023

Posted by Cat Armato, Program Manager, Google Groups across Google actively pursue research in the field of machine learning (ML), ranging from theory and application. We build ML systems to solve deep scientific and engineering challenges in areas of language, music, visual processing, algorithm development, and more. We aim to build a more collaborative ecosystem…

Latest from Google AI – Using societal context knowledge to foster the responsible application of AI

Posted by Donald Martin, Jr., Technical Program Manager, Head of Societal Context Understanding Tools and Solutions (SCOUTS), Google Research AI-related products and technologies are constructed and deployed in a societal context: that is, a dynamic and complex collection of social, cultural, historical, political and economic circumstances. Because societal contexts by nature are dynamic, complex, non-linear,…