School of Engineering
School of Engineering

Human-machine teaming dives underwater

Researchers are developing hardware and algorithms to improve collaboration between divers and autonomous underwater vehicles engaged in maritime missions.

New technique makes AI models leaner and faster while they’re still learning

Researchers use control theory to shed unnecessary complexity from AI models during training, cutting compute costs without sacrificing performance.

Sixteen new START.nano companies are developing hard-tech solutions with the support of MIT.nano

Startup accelerator program grows to over 30 companies, almost half of them with MIT pedigrees.

Helping data centers deliver higher performance with less hardware

Researchers developed a system that intelligently balances workloads to improve the efficiency of flash storage hardware in a data center.

Working to advance the nuclear renaissance

Dean Price, assistant professor in the Department of Nuclear Science and Engineering, sees a bright future for nuclear power, and believes AI can help us realize that vision.

Evaluating the ethics of autonomous systems

MIT researchers developed a testing framework that pinpoints situations where AI decision-support systems are not treating people and communities fairly.

Preview tool helps makers visualize 3D-printed objects

By quickly generating aesthetically accurate previews of fabricated objects, the VisiPrint system could make prototyping faster and less wasteful.

MIT researchers use AI to uncover atomic defects in materials

A new model measures defects that can be leveraged to improve materials’ mechanical strength, heat transfer, and energy-conversion efficiency.

Seeing sounds

Mariano Salcedo, a master’s student in the new Music Technology and Computation Graduate Program, is designing an AI to visualize and express music and other sounds.

MIT engineers design proteins by their motion, not just their shape

An AI model generates novel proteins based on how they vibrate and move, opening new possibilities for dynamic biomaterials and adaptive therapeutics.