Personalized deep-learning models can enable artificial intelligence chatbots that adapt to understand a user’s accent or smart keyboards that continuously update to better predict the next word based on someone’s typing history. This customization requires constant fine-tuning of a machine-learning model with new data. Because smartphones and other edge devices lack the memory and computational…
With 3D inkjet printing systems, engineers can fabricate hybrid structures that have soft and rigid components, like robotic grippers that are strong enough to grasp heavy objects but soft enough to interact safely with humans. These multimaterial 3D printing systems utilize thousands of nozzles to deposit tiny droplets of resin, which are smoothed with a…
In San Francisco last week, everyone’s favorite surprise visitor was Microsoft CEO Satya Nadella. At OpenAI’s DevDay—the company’s first-ever event for developers building on its platform—Nadella bounded on stage to join OpenAI CEO Sam Altman, blowing the hair back on an already electrified audience. “You guys have built something magic,” he gushed. Two days later…
Posted by Isaac Noble, Software Engineer, Google Research, and Anelia Angelova, Research Scientist, Google DeepMind When building machine learning models for real-life applications, we need to consider inputs from multiple modalities in order to capture various aspects of the world around us. For example, audio, video, and text all provide varied and complementary information about…
The structure of Ghostbuster, our new state-of-the-art method for detecting AI-generated text. Large language models like ChatGPT write impressively well—so well, in fact, that they’ve become a problem. Students have begun using these models to ghostwrite assignments, leading some schools to ban ChatGPT. In addition, these models are also prone to producing text with factual…
This is not the first time that I’ve written about AI creativity, and I doubt that it will be the last. It’s a question that comes up repeatedly, and that is very much in the current mind, with events like the strikes by the Writers’ Guild of America and the Screen Actors Guild, in which…
This year the Earth has been hit by a record number of unpredictable extreme weather events made worse by climate change. Predicting them faster and with greater accuracy could enable us to prepare better for natural disasters and help save lives. A new AI model from Google DeepMind could make that easier. In research published…
The following is excerpted from BROKEN CODE: Inside Facebook and the Fight to Expose Its Harmful Secrets by Jeff Horwitz. Reprinted by permission of Doubleday, an imprint of The Knopf Doubleday Publishing Group, a division of Penguin Random House LLC. Copyright © 2023 by Jeff Horwitz. In 2006, the U.S. patent office received a filing…
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. “This moment in AI is an inflection moment,” Fei-Fei Li told me recently. Li is co-director of Stanford’s Human-Centered AI Institute and one of the most prominent computer science researchers of…
Asymmetric Certified Robustness via Feature-Convex Neural Networks TLDR: We propose the asymmetric certified robustness problem, which requires certified robustness for only one class and reflects real-world adversarial scenarios. This focused setting allows us to introduce feature-convex classifiers, which produce closed-form and deterministic certified radii on the order of milliseconds. Figure 1. Illustration of feature-convex classifiers…