“SceneSmith” system uses collaborative AI agents to create realistic 3D environments of places like kitchens, hotels, and living rooms, where robots can simulate everyday chores.
Researchers developed an auditing technique to test generative AI models for malicious capabilities, without prompting them for illegal outputs.
A new system, known as Murakkab, optimizes the design and deployment of multistep workflows that power AI applications.
David Alexander Bruns-Smith
Assistant Professor, shared appointment with MIT Sloan School of Management, [AI+D]
Lindsay Raymond
Assistant Professor, [CS] Shared appointment: Economics and EECS
Office: 45-501C and 52-454
The “EnergAIzer” method generates reliable results in seconds, enabling data center operators to efficiently allocate resources and reduce wasted energy.
A new training method improves the reliability of AI confidence estimates without sacrificing performance, addressing a root cause of hallucination in reasoning models.
The award is given annually to an outstanding contributor to education from among the faculty members who are being proposed for promotion to associate professor without tenure.
Jointly led by the MIT Morningside Academy for Design, MIT Schwarzman College of Computing, and the Hasso Plattner Institute in Potsdam, the hub will foster a dynamic community where computing, creativity, and human-centered innovation meet.
To help generative AI models create durable, real-world accessories and decor, the PhysiOpt system runs physics simulations and makes subtle tweaks to its 3D blueprints.