Electrical engineering and computer science (EECS)
Electrical engineering and computer science (EECS)

Electrical engineering and computer science (EECS)

Algorithms Artificial Intelligence Autonomous Underwater Vehicles (AUV) Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) Human-computer interaction Lincoln Laboratory machine learning MIT Schwarzman College of Computing Oceanography and ocean engineering Research Robotics School of Engineering sensors

Human-machine teaming dives underwater

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

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical engineering and computer science (EECS) machine learning MIT Schwarzman College of Computing Research School of Engineering

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.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Defense Advanced Research Projects Agency (DARPA) Electrical engineering and computer science (EECS) Electronics machine learning MIT Schwarzman College of Computing National Science Foundation (NSF) Research School of Engineering Sustainability

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.

Aeronautical and astronautical engineering Algorithms Artificial Intelligence Defense Advanced Research Projects Agency (DARPA) Electrical engineering and computer science (EECS) Ethics Human-computer interaction Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Research School of Engineering

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.

3-D printing Additive manufacturing Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) machine learning Maker movement Mechanical engineering MIT Schwarzman College of Computing Research School of Engineering Sustainability

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.

Artificial Intelligence Batteries Computer modeling Department of Energy (DoE) DMSE Electrical engineering and computer science (EECS) machine learning Manufacturing Materials science and engineering Nanoscience and nanotechnology National Science Foundation (NSF) Nuclear science and engineering Research School of Engineering Semiconductors Solar

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.

Artificial Intelligence Arts Classes and programs Computer science and technology Electrical engineering and computer science (EECS) engineering Games Graduate, postdoctoral Humanities Mechanical engineering Music Music and theater arts Music technology Profile School of Engineering School of Humanities Arts and Social Sciences Students Undergraduate Research Opportunities Program (UROP)

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.

Algorithms Artificial Intelligence Civil and environmental engineering Computer science and technology Electrical engineering and computer science (EECS) IDSS Laboratory for Information and Decision Systems (LIDS) Logistics machine learning MIT Schwarzman College of Computing Research Robotics School of Engineering Supply chains

AI system learns to keep warehouse robot traffic running smoothly

This new approach adapts to decide which robots should get the right of way at every moment, avoiding congestion and increasing throughput.

Abdul Latif Jameel Water and Food Systems Lab (J-WAFS) Animals Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology computer-vision Data Ecology Electrical engineering and computer science (EECS) Environment machine learning Mechanical engineering MIT Schwarzman College of Computing MIT Sea Grant National Science Foundation (NSF) Oceanography and ocean engineering Research School of Engineering Undergraduate Research Opportunities Program (UROP) Video Volunteering, outreach, public service Water

Augmenting citizen science with computer vision for fish monitoring

MIT Sea Grant works with the Woodwell Climate Research Center and other collaborators to demonstrate a deep learning-based system for fish monitoring.

Artificial Intelligence Computer science and technology Electrical engineering and computer science (EECS) Human-computer interaction Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Research School of Engineering

A better method for identifying overconfident large language models

This new metric for measuring uncertainty could flag hallucinations and help users know whether to trust an AI model.