Browsing: AI & Robotics

A large language model (LLM) deployed to make treatment recommendations can be tripped up by nonclinical information in patient messages,…

Redefining Job Execution with AI Agents AI agents are reshaping how jobs are performed by offering tools that execute complex,…

Launched in February of this year, the MIT Generative AI Impact Consortium (MGAIC), a presidential initiative led by MIT’s Office…

The Agent-to-Agent (A2A) protocol is a new standard by Google that enables AI agents—regardless of their underlying framework or developer—to…

During his first year at MIT in 2021, Matthew Caren ’25 received an intriguing email inviting students to apply to…

The Challenge of Long-Context Reasoning in AI Models Large reasoning models are not only designed to understand language but are…

MIT Morningside Academy for Design (MAD) Fellow Caitlin Morris is an architect, artist, researcher, and educator who has studied psychology and used…

Python A2A is an implementation of Google’s Agent-to-Agent (A2A) protocol, which enables AI agents to communicate with each other using…

Art restoration takes steady hands and a discerning eye. For centuries, conservators have restored paintings by identifying areas needing repair,…

The Inefficiency of Static Chain-of-Thought Reasoning in LRMs Recent LRMs achieve top performance by using detailed CoT reasoning to solve…