Computer science and technology
Computer science and technology

Computer science and technology

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

Robot, know thyself: New vision-based system teaches machines to understand their bodies

Neural Jacobian Fields, developed by MIT CSAIL researchers, can learn to control any robot from a single camera, without any other sensors.

Aeronautical and astronautical engineering Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology computer-vision Electrical engineering and computer science (EECS) Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Research School of Engineering

A new way to edit or generate images

MIT researchers found that special kinds of neural networks, called encoders or “tokenizers,” can do much more than previously realized.

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 National Science Foundation (NSF) Quest for Intelligence Research School of Engineering

The unique, mathematical shortcuts language models use to predict dynamic scenarios

Language models follow changing situations using clever arithmetic, instead of sequential tracking. By controlling when these approaches are used, engineers could improve the systems’ capabilities.

Algorithms Artificial Intelligence Computer science and technology Laboratory for Information and Decision Systems (LIDS) machine learning Mathematics MIT-IBM Watson AI Lab Research

This “smart coach” helps LLMs switch between text and code

The CodeSteer system could boost large language models’ accuracy when solving complex problems, such as scheduling shipments in a supply chain.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) Human-computer interaction machine learning MIT Schwarzman College of Computing National Science Foundation (NSF) Programming Programming languages Research School of Engineering Software

Can AI really code? Study maps the roadblocks to autonomous software engineering

A team of researchers has mapped the challenges of AI in software development, and outlined a research agenda to move the field forward.

Algorithms Artificial Intelligence Biological engineering Biology Broad Institute Cells Computer science and technology Department of Energy (DoE) Diagnostics Disease Electrical engineering and computer science (EECS) Genetics health IDSS Laboratory for Information and Decision Systems (LIDS) Medicine MIT Schwarzman College of Computing National Institutes of Health (NIH) Pharmaceuticals Research School of Engineering

How to more efficiently study complex treatment interactions

A new approach for testing multiple treatment combinations at once could help scientists develop drugs for cancer or genetic disorders.

3-D printing Artificial Intelligence Autonomous Underwater Vehicles (AUV) Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Defense Advanced Research Projects Agency (DARPA) Design Electrical engineering and computer science (EECS) Invention machine learning Marine biology MIT Schwarzman College of Computing Research Robotics School of Engineering

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.

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 MIT-IBM Watson AI Lab National Science Foundation (NSF) Research School of Engineering

Study could lead to LLMs that are better at complex reasoning

Researchers developed a way to make large language models more adaptable to challenging tasks like strategic planning or process optimization.

Algorithms Artificial Intelligence Computer science and technology computer-vision Department of Energy (DoE) Electrical engineering and computer science (EECS) machine learning Materials science and engineering Mechanical engineering National Science Foundation (NSF) Renewable energy Research Research Laboratory of Electronics Robotics School of Engineering Solar Sustainability

Robotic probe quickly measures key properties of new materials

Developed to analyze new semiconductors, the system could streamline the development of more powerful solar panels.

3-D printing Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Design Electrical engineering and computer science (EECS) machine learning MIT Schwarzman College of Computing Research Robotics School of Engineering School of Science

Using generative AI to help robots jump higher and land safely

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.