Originally published in MIT News, March 25, 2024 Researchers demonstrate a technique that can be used to probe a model to see what it knows about new subjects. Large language models, such as th...
Originally published in Venture Beat, April 1, 2024 Apple researchers have developed a new artificial intelligence system that can understand ambiguous references to on-screen entities as well ...
Originally published in The New York Times, April 4, 2024 Artificial intelligence is peering into restaurant garbage pails and crunching grocery-store data to try to figure out how to send less...
Originally published in MIT Management, Sloan School, September 19, 2023 Why It Matters Relevance-based prediction can be used in finance, politics, and sports for more accurate forecasting. Wh...
This article from Morgan Vawter, Global Vice President of Data & Analytics at Unilever, serves as the foreword to The AI Playbook: Mastering the Rare Art of Machine Learning Deployment, by ...
Originally published in Harvard Business Review Machine learning might be the world’s most important general-purpose technology, but it’s notoriously difficult to launch. Outside of Big Tec...
Listen to Eric Siegel, former Columbia University Professor, discuss his book The AI Playbook: Mastering the Rare Art of Machine Learning Deployment. Radio show: Bloomberg Businessweek Hosts: ...
Originally published in AI Business, March 7, 2024. OpenAI’s GPT-4 reproduces the most copyrighted content from prompts among four popular large language models, according to new research f...
Originally published in Tech Xplore, March 8, 2024. When you teach a child how to solve puzzles, you can either let them figure it out through trial and error, or you can guide them with some...
Originally published in MIT News, March 8, 2024. By enabling models to see the world more like humans do, the work could help improve driver safety and shed light on human behavior. Peripheral ...