AI shapes autonomous underwater “gliders”
An AI pipeline developed by CSAIL researchers enables unique hydrodynamic designs for bodyboard-sized vehicles that glide underwater and could help scientists gather marine data.
Confronting the AI/energy conundrum
The MIT Energy Initiative’s annual research symposium explores artificial intelligence as both a problem and a solution for the clean energy transition.
Researchers developed a way to make large language models more adaptable to challenging tasks like strategic planning or process optimization.
The high-tech wizardry of integrated photonics
PhD candidate Sabrina Corsetti builds photonic devices that manipulate light to enable previously unimaginable applications, like pocket-sized 3D printers.
By leveraging reflections from wireless signals like Wi-Fi, the system could allow robots to find and manipulate items that are blocked from view.
At a fireside chat, L. Rafael Reif and Anantha P. Chandrakasan discussed the importance of developing engineering leadership skills to solve the world’s most challenging problems.
MIT CSAIL researchers combined GenAI and a physics simulation engine to refine robot designs. The result: a machine that out-jumped a robot designed by humans.
Researchers present bold ideas for AI at MIT Generative AI Impact Consortium kickoff event
Presentations targeted high-impact intersections of AI and other areas, such as health care, business, and education.
Researchers find nonclinical information in patient messages — like typos, extra white space, and colorful language — reduces the accuracy of an AI model.
The tenured engineers of 2025
Eleven faculty members have been granted tenure in six units across MIT’s School of Engineering.