Latest from Google AI – Making ML models differentially private: Best practices and open challenges

Posted by Natalia Ponomareva and Alex Kurakin, Staff Software Engineers, Google Research Large machine learning (ML) models are ubiquitous in modern applications: from spam filters to recommender systems and virtual assistants. These models achieve remarkable performance partially due to the abundance of available training data. However, these data can sometimes contain private information, including personal…

Latest from Google AI – Sparse video tubes for joint video and image vision transformers

Posted by AJ Piergiovanni and Anelia Angelova, Research Scientists, Google Video understanding is a challenging problem that requires reasoning about both spatial information (e.g., for objects in a scene, including their locations and relations) and temporal information for activities or events shown in a video. There are many video understanding applications and tasks, such as…

Latest from MIT : Is medicine ready for AI? Doctors, computer scientists, and policymakers are cautiously optimistic

The advent of generative artificial intelligence models like ChatGPT has prompted renewed calls for AI in health care, and its support base only appears to be broadening. The second annual MIT-MGB AI Cures Conference, hosted on April 24 by the Abdul Latif Jameel Clinic for Machine Learning in Health (Jameel Clinic), saw its attendance nearly…

Latest from MIT : A better way to study ocean currents

To study ocean currents, scientists release GPS-tagged buoys in the ocean and record their velocities to reconstruct the currents that transport them. These buoy data are also used to identify “divergences,” which are areas where water rises up from below the surface or sinks beneath it. By accurately predicting currents and pinpointing divergences, scientists can…

Latest from MIT : An AI challenge only humans can solve

The Dark Ages were not entirely dark. Advances in agriculture and building technology increased Medieval wealth and led to a wave of cathedral construction in Europe. However, it was a time of profound inequality. Elites captured virtually all economic gains. In Britain, as Canterbury Cathedral soared upward, peasants had no net increase in wealth between…

Latest from Google AI – Using reinforcement learning for dynamic planning in open-ended conversations

Posted by Deborah Cohen, Staff Research Scientist, and Craig Boutilier, Principal Scientist, Google Research As virtual assistants become ubiquitous, users increasingly interact with them to learn about new topics or obtain recommendations and expect them to deliver capabilities beyond narrow dialogues of one or two turns. Dynamic planning, namely the capability to look ahead and…

Latest from MIT Tech Review – How do you solve a problem like out-of-control AI? 

Last week Google revealed it is going all in on generative AI. At its annual I/O conference, the company announced it plans to embed AI tools into virtually all of its products, from Google Docs to coding and online search. (Read my story here.)  Google’s announcement is a huge deal. Billions of people will now…

Latest from Google AI – Larger language models do in-context learning differently

Posted by Jerry Wei, Student Researcher, and Denny Zhou, Principal Scientist, Google Research There have recently been tremendous advances in language models, partly because they can perform tasks with strong performance via in-context learning (ICL), a process whereby models are prompted with a few examples of input-label pairs before performing the task on an unseen…