Brain and cognitive sciences
Brain and cognitive sciences

Brain and cognitive sciences

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.

Algorithms Artificial Intelligence Brain and cognitive sciences Computer modeling Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) machine learning MIT Schwarzman College of Computing Programming Quest for Intelligence Research School of Engineering School of Science Technology and society

Automating the math for decision-making under uncertainty

A new tool brings the benefits of AI programming to a much broader class of problems.