Posted by Phitchaya Mangpo Phothilimthana, Staff Research Scientist, and Adam Paszke, Staff Research Scientist, Google Research (This is Part 3 in our series of posts covering different topical areas of research at Google. You can find other posts in the series here.) Great machine learning (ML) research requires great systems. With the increasing sophistication of…
Posted by Xingyou (Richard) Song, Research Scientist, and Chansoo Lee, Software Engineer, Google Research, Brain Team Google Vizier is the de-facto system for blackbox optimization over objective functions and hyperparameters across Google, having serviced some of Google’s largest research efforts and optimized a wide range of products (e.g., Search, Ads, YouTube). For research, it has…
MIT Solve, an MIT initiative with a mission to drive innovation to solve world challenges, announced today the 2023 Global Challenges and the Indigenous Communities Fellowship. Solve invites anyone from anywhere in the world to submit a solution to this year’s challenges by 12 p.m. EST on May 9. The 40 innovators — including eight…
Posted by Shayne Longpre, Student Researcher, and Adam Roberts, Senior Staff Software Engineer, Google Research, Brain Team Language models are now capable of performing many new natural language processing (NLP) tasks by reading instructions, often that they hadn’t seen before. The ability to reason on new tasks is mostly credited to training models on a…
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. In the last week there has been a lot of talk about whether journalists or copywriters could or should be replaced by AI. Personally, I’m not worried. Here’s why. So far, newsrooms have pursued…
Hidden patterns buried in AI-generated texts could help identify them as such, allowing us to tell whether the words we’re reading are written by a human or not. These “watermarks” are invisible to the human eye but let computers detect that the text probably comes from an AI system. If embedded in large language models,…
A Roomba recorded a woman on the toilet. How did screenshots end up on social media? This episode we go behind the scenes of an MIT Technology Review investigation that uncovered how sensitive photos taken by an AI powered vacuum were leaked and landed on the internet. Reporting: A Roomba recorded a woman on the…
Posted by Sreenivas Gollapudi, Senior Staff Research Scientist, and Kostas Kollias, Staff Research Scientist, Google Research, Algorithms & Optimization Team In many computing applications the system needs to make decisions to serve requests that arrive in an online fashion. Consider, for instance, the example of a navigation app that responds to driver requests. In such…
Posted by Posted by Alvin Rajkomar, Research Scientist, and Eric Loreaux, Software Engineer, Google Research Today many people have digital access to their medical records, including their doctor’s clinical notes. However, clinical notes are hard to understand because of the specialized language that clinicians use, which contains unfamiliar shorthand and abbreviations. In fact, there are…
Posted by Marian Croak, VP, Google Research, Responsible AI and Human-Centered Technology <!– This is the second post in our “Google Research, 2022 & Beyond” series. Other topics in the series can be found below: Language Models Computer Vision Multimodal Models Generative Models Responsible AI Algorithms* ML & Computer Systems Robotics Health General Science &…