Brain and cognitive sciences
Brain and cognitive sciences

Brain and cognitive sciences

Artificial Intelligence Brain and cognitive sciences Center for Brains Minds and Machines Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical Engineering & Computer Science (eecs) machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab National Science Foundation (NSF) Quest for Intelligence Research Robotics Robots School of Engineering School of Science

New technique helps robots pack objects into a tight space

Researchers coaxed a family of generative AI models to work together to solve multistep robot manipulation problems.

Artificial Intelligence Brain and cognitive sciences Cells Computer science and technology machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab National Institutes of Health (NIH) Neuroscience Research School of Science

AI models are powerful, but are they biologically plausible?

A new study bridging neuroscience and machine learning offers insights into the potential role of astrocytes in the human brain.

Artificial Intelligence Brain and cognitive sciences Computer modeling computer-vision McGovern Institute MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Neuroscience Quest for Intelligence Research School of Engineering School of Science

When computer vision works more like a brain, it sees more like people do

Training artificial neural networks with data from real brains can make computer vision more robust.

Artificial Intelligence Awards, honors and fellowships Brain and cognitive sciences Computer science and technology Contests and academic competitions Electrical Engineering & Computer Science (eecs) Graduate, postdoctoral Human-computer interaction Management Mathematics Media Lab MIT Schwarzman College of Computing MIT Sloan School of Management Philosophy School of Architecture and Planning School of Engineering School of Humanities Arts and Social Sciences School of Science Students Technology and policy Technology and society Undergraduate Urban studies and planning

Envisioning the future of computing

MIT students share ideas, aspirations, and vision for how advances in computing stand to transform society in a competition hosted by the Social and Ethical Responsibilities of Computing.

Algorithms Anthropology Artificial Intelligence Augmented and virtual reality Biology Brain and cognitive sciences Business and management Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Economics Education, teaching, academics Electrical Engineering & Computer Science (eecs) Ethics Faculty Government Graduate, postdoctoral Health Care Humanities IDSS Industry machine learning Mathematics MIT Schwarzman College of Computing MIT Sloan School of Management Political science Program in STS Research School of Architecture and Planning School of Engineering School of Humanities Arts and Social Sciences School of Science social media Special events and guest speakers Students Technology and policy Technology and society Undergraduate Urban studies and planning

Bringing the social and ethical responsibilities of computing to the forefront

The inaugural SERC Symposium convened experts from multiple disciplines to explore the challenges and opportunities that arise with the broad applicability of computing in many aspects of society.

Algorithms Artificial Intelligence Autonomous vehicles Brain and cognitive sciences Computer science and technology Electrical Engineering & Computer Science (eecs) machine learning MIT Schwarzman College of Computing Programming Programming languages Research School of Engineering School of Science

Probabilistic AI that knows how well it’s working

It’s more important than ever for artificial intelligence to estimate how accurately it is explaining data.

Algorithms Artificial Intelligence Brain and cognitive sciences Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology computer-vision Electrical Engineering & Computer Science (eecs) machine learning MIT Schwarzman College of Computing National Science Foundation (NSF) Research School of Engineering School of Science

Training machines to learn more like humans do

Researchers identify a property that helps computer vision models learn to represent the visual world in a more stable, predictable way.

Artificial Intelligence Bacteria Bioengineering and biotechnology Biological engineering Brain and cognitive sciences Broad Institute Cells Drug delivery McGovern Institute Nanoscience and nanotechnology Proteins Research School of Engineering School of Science

Bacterial injection system delivers proteins in mice and human cells

With further development, the programmable system could be used in a range of applications including gene and cancer therapies.

Artificial Intelligence Brain and cognitive sciences Center for Brains Minds and Machines Computer science and technology machine learning McGovern Institute Natural language processing Research School of Science

New insights into training dynamics of deep classifiers

MIT researchers uncover the structural properties and dynamics of deep classifiers, offering novel explanations for optimization, generalization, and approximation in deep networks.

Algorithms Artificial Intelligence Biology Brain and cognitive sciences Chemical engineering Collaboration Computer Science and Artificial Intelligence Laboratory (CSAIL) Drug development Electrical Engineering & Computer Science (eecs) Industry Institute for Medical Engineering and Science (IMES) machine learning Mechanical engineering Medicine MIT Schwarzman College of Computing MIT Sloan School of Management Pharmaceuticals School of Engineering School of Science

MIT-Takeda Program heads into fourth year with crop of 10 new projects

The program leverages MIT’s research expertise and Takeda’s industrial know-how for research in artificial intelligence and medicine.