Latest from MIT : Researchers enhance peripheral vision in AI models

Peripheral vision enables humans to see shapes that aren’t directly in our line of sight, albeit with less detail. This ability expands our field of vision and can be helpful in many situations, such as detecting a vehicle approaching our car from the side. Unlike humans, AI does not have peripheral vision. Equipping computer vision…

Latest from Google AI – Social learning: Collaborative learning with large language models

Posted by Amirkeivan Mohtashami, Research Intern, and Florian Hartmann, Software Engineer, Google Research Large language models (LLMs) have significantly improved the state of the art for solving tasks specified using natural language, often reaching performance close to that of people. As these models increasingly enable assistive agents, it could be beneficial for them to learn…

Latest from Google AI – Croissant: a metadata format for ML-ready datasets

Posted by Omar Benjelloun, Software Engineer, Google Research, and Peter Mattson, Software Engineer, Google Core ML and President, MLCommons Association Machine learning (ML) practitioners looking to reuse existing datasets to train an ML model often spend a lot of time understanding the data, making sense of its organization, or figuring out what subset to use…

Latest from MIT Tech Review – I used generative AI to turn my story into a comic—and you can too

Thirteen years ago, as an assignment for a journalism class, I wrote a stupid short story about a man who eats luxury cat food. This morning, I sat and watched as a generative AI platform called Lore Machine brought my weird words to life. I fed my story into a text box and got this…

Latest from Google AI – Google at APS 2024

Posted by Kate Weber and Shannon Leon, Google Research, Quantum AI Team Today the 2024 March Meeting of the American Physical Society (APS) kicks off in Minneapolis, MN. A premier conference on topics ranging across physics and related fields, APS 2024 brings together researchers, students, and industry professionals to share their discoveries and build partnerships…

Latest from MIT Tech Review – Advancing AI innovation with cutting-edge solutions  

AI is helping organizations in nearly every industry increase productivity, engage customers, realize operational efficiencies, and gain a competitive edge. Advances in supercomputing in the cloud and the ability to achieve processing at an exascale level are major catalysts for this new era of AI innovation. Common AI use cases today include personalized healthcare and…

Latest from MIT Tech Review – Large language models can do jaw-dropping things. But nobody knows exactly why.

Two years ago, Yuri Burda and Harri Edwards, researchers at the San Francisco–based firm OpenAI, were trying to find out what it would take to get a large language model to do basic arithmetic. They wanted to know how many examples of adding up two numbers the model needed to see before it was able…

Latest from MIT : Dealing with the limitations of our noisy world

Tamara Broderick first set foot on MIT’s campus when she was a high school student, as a participant in the inaugural Women’s Technology Program. The monthlong summer academic experience gives young women a hands-on introduction to engineering and computer science. What is the probability that she would return to MIT years later, this time as…