Building Toward Equitable Schools for the 21st Century

By: Loredana Valtierra, U.S. Department of Education Policy Advisor As schools reopened during the COVID-19 pandemic, indoor air quality arose as a top concern among K-12 education stakeholders. Many school administrators, parents, and others in school communities...

Retrieval-augmented visual-language pre-training

Posted by Ziniu Hu, Student Researcher, and Alireza Fathi, Research Scientist, Google Research, Perception Team Large-scale models, such as T5, GPT-3, PaLM, Flamingo and PaLI, have demonstrated the ability to store substantial amounts of knowledge when scaled to tens...

OpenAI cybersecurity grant program

Our goal is to facilitate the development of AI-powered cybersecurity capabilities for defenders through grants and other support. ​ 

Large sequence models for software development activities

Posted by Petros Maniatis and Daniel Tarlow, Research Scientists, Google Software isn’t created in one dramatic step. It improves bit by bit, one little step at a time — editing, running unit tests, fixing build errors, addressing code reviews, editing some more,...

Driven to driverless

When Cindy Heredia was choosing an MBA program, she knew she wanted to be at the forefront of the autonomous driving industry. While doing research, she discovered that MIT had a unique offering: a student-run driverless team. Heredia applied to MIT to join the team,...

Parent Empowerment Pop-Ups: Partnering with Parents for Perspective

“Raise the Bar: Lead the World” is the U.S. Department of Education’s call to action to transform P-12 education and unite around what truly works. Raising the bar means recognizing that our nation already has what it takes to continue leading the world. Through...

New tool helps people choose the right method for evaluating AI models

When machine-learning models are deployed in real-world situations, perhaps to flag potential disease in X-rays for a radiologist to review, human users need to know when to trust the model’s predictions. But machine-learning models are so large and complex that even...

Improving mathematical reasoning with process supervision

We’ve trained a model to achieve a new state-of-the-art in mathematical problem solving by rewarding each correct step of reasoning (“process supervision”) instead of simply rewarding the correct final answer (“outcome supervision”). In addition to boosting...