Posted by Alexander Frömmgen, Staff Software Engineer, and Lera Kharatyan, Senior Software Engineer, Core Systems & Experiences Code-change reviews are a critical part of the software development process at scale, taking a significant amount of the code authors’ and the code reviewers’ time. As part of this process, the reviewer inspects the proposed code and…
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. It feels as though a switch has turned on in AI policy. For years, US legislators and American tech companies were reluctant to introduce—if not outright against—strict technology regulation. Now both have…
Meta has built AI models that can recognize and produce speech for more than 1,000 languages—a tenfold increase on what’s currently available. It’s a significant step toward preserving languages that are at risk of disappearing, the company says. Meta is releasing its models to the public via the code hosting service GitHub. It claims that…
A robot manipulating objects while, say, working in a kitchen, will benefit from understanding which items are composed of the same materials. With this knowledge, the robot would know to exert a similar amount of force whether it picks up a small pat of butter from a shadowy corner of the counter or an entire…
A three-year recipient of MIT’s Emerson Classical Vocal Scholarships, senior Ananya Gurumurthy recalls getting ready to step onto the Carnegie Hall stage to sing a Mozart opera that she once sang with the New York All-State Choir. The choir conductor reminded her to articulate her words and to engage her diaphragm. “If you don’t project…
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…
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…
Posted by Lucas Dixon and Michael Terry, co-leads, PAIR, Google Research PAIR (People + AI Research) first launched in 2017 with the belief that “AI can go much further — and be more useful to all of us — if we build systems with people in mind at the start of the process.” We continue…
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…
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…