Large language models can help professionals identify customer needs
A study found that trained LLMs can identify what customers want as well as expert market reach analysts, who are freed up to apply their expertise to high-leverage tasks.
A study found that trained LLMs can identify what customers want as well as expert market reach analysts, who are freed up to apply their expertise to high-leverage tasks.
The work has implications for early detection of all types of cancer, and answering questions about other diseases.
Setting goals, superminds, and saying goodbye to structure.
Natalia Levina, PhD ’01, and Rumman Chowdhury, SB ’03, spoke at the second annual Social Media Summit@MIT, a virtual gathering hosted by the MIT Initiative on the Digital Economy, in late March.
In their new book, “Power and Progress,” Daron Acemoglu and Simon Johnson ask whether the benefits of AI will be shared widely or feed inequality.
Integrating robots into a manufacturing system is often prohibitively expensive. A new approach could change that.
Artificial intelligence was top of mind at the 2025 MIT Sloan Reunion. In two talks, MIT alumni went to the furthest reaches of possibility with AI, both in terms of its capacity to do harm and its potential to solve existence's toughest problems.
On February 18, 2017, industry experts, engineers, entrepreneurs, venture capitalists, academics and more will gather at the renowned MIT Media Lab for the 2017 MIT Tech Conference.
When presented with the same prompt in different languages, generative AI provides culturally distinct responses.
Douglas Drane Career Development Associate Professor in Information Technology and Management, Associate Professor, Information Technology