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]
Using technology invented at MIT, Cartesian’s system for locating objects could also find uses in manufacturing, logistics, and robotics.
A seasoned undergraduate researcher, Nathaniel Morgan has participated in UROP since his first year, and is now working with Omar Khattab on improving the capabilities of large language models.
Faculty member in electrical engineering and computer science to focus on innovation in engineering education and new pedagogical approaches.
Assistant Professor Gabriele Farina mines the foundations of decision-making in complex multi-agent scenarios.
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.