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 &…
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Oh man, it’s brutal out there. One by one, the world’s richest tech companies have announced massive layoffs. Just last week, Alphabet announced it was laying off 12,000 people. There have been…
In science and technology, there has been a long and steady drive toward improving the accuracy of measurements of all kinds, along with parallel efforts to enhance the resolution of images. An accompanying goal is to reduce the uncertainty in the estimates that can be made, and the inferences drawn, from the data (visual or…
The name Sybil has its origins in the oracles of Ancient Greece, also known as sibyls: feminine figures who were relied upon to relay divine knowledge of the unseen and the omnipotent past, present, and future. Now, the name has been excavated from antiquity and bestowed on an artificial intelligence tool for lung cancer risk…
Reinforcement learning provides a conceptual framework for autonomous agents to learn from experience, analogously to how one might train a pet with treats. But practical applications of reinforcement learning are often far from natural: instead of using RL to learn through trial and error by actually attempting the desired task, typical RL applications use a…