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

Electrical engineering and computer science (EECS)

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.

Artificial Intelligence Computer science and technology Data Electrical engineering and computer science (EECS) Electronics Imaging machine learning Media Lab MIT Schwarzman College of Computing National Science Foundation (NSF) Research Robotics School of Architecture and Planning School of Engineering sensors Wireless

Generative AI improves a wireless vision system that sees through obstructions

With this new technique, a robot could more accurately detect hidden objects or understand an indoor scene using reflected Wi-Fi signals.

Aeronautical and astronautical engineering Algorithms Artificial Intelligence Careers Collaboration Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) Industry Laboratory for Information and Decision Systems (LIDS) machine learning Mechanical engineering MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Natural language processing Research Robotics School of Engineering

MIT-IBM Watson AI Lab seed to signal: Amplifying early-career faculty impact

Academia-industry relationship is an early-stage accelerator, supporting professional progress and research.

Artificial Intelligence Computer science and technology Data Electrical engineering and computer science (EECS) Harvard-MIT Health Sciences and Technology Health Care Health sciences and technology Jameel Clinic machine learning Medicine MIT Schwarzman College of Computing Research Research Laboratory of Electronics School of Engineering

Can AI help predict which heart-failure patients will worsen within a year?

Researchers at MIT, Mass General Brigham, and Harvard Medical School developed a deep-learning model to forecast a patient’s heart failure prognosis up to a year in advance.

Anthropology Artificial Intelligence Classes and programs Design Electrical engineering and computer science (EECS) Human-computer interaction MIT Morningside Academy for Design MIT Schwarzman College of Computing School of Architecture and Planning School of Engineering School of Humanities Arts and Social Sciences social media Social sciences Students Technology and society

New MIT class uses anthropology to improve chatbots

MIT computer science students design AI chatbots to help young users become more social, and socially confident.