Algorithms
Algorithms

Algorithms

Aeronautical and astronautical engineering Algorithms Artificial Intelligence Augmented and virtual reality Autonomous vehicles Computer chips Computer science and technology Electrical engineering and computer science (EECS) Energy machine learning Memory MIT Schwarzman College of Computing National Science Foundation (NSF) Research Research Laboratory of Electronics Robotics School of Engineering

New chip could help tiny robots traverse complex environments

Researchers combined an efficient algorithm with dedicated hardware to rapidly generate 3D maps for navigation using minimal memory and power.

Algorithms Artificial Intelligence Electrical engineering and computer science (EECS) Game theory Human-computer interaction Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Research School of Engineering Software

In game theory, generalists sometimes win out over specialists

Researchers show that for certain kinds of games, an overlooked class of algorithms performs much better than expected.

Aeronautical and astronautical engineering Algorithms Artificial Intelligence Autonomous vehicles 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 Robotics School of Engineering

Could AI tell you where you left your keys?

A new spatial memory system for robots efficiently captures details about the objects they see while exploring their environment.

Algorithms Artificial Intelligence Computer modeling Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) Human-computer interaction Laboratory for Information and Decision Systems (LIDS) machine learning Mathematics MIT Schwarzman College of Computing Research School of Engineering

When it comes to predicting people’s preferences, it pays to consider “the power of three”

MIT researchers provide a major upgrade to the nearly century-old idea of random utility models.

Algorithms Artificial Intelligence Astronomy and astrophysics chemistry Collaboration Computer science and technology Data DMSE Funding IDSS machine learning Mathematics MIT Schwarzman College of Computing National Science Foundation (NSF) Physics Research School of Engineering School of Science

NSF renews support for MIT-led AI and physics institute, expanding a new model for discovery

IAIFI enters its second phase with increased funding, broader ambitions, and a growing community at the frontier of AI and fundamental physics.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Defense Advanced Research Projects Agency (DARPA) Electrical engineering and computer science (EECS) Games machine learning MIT Schwarzman College of Computing MIT Siegel Family Quest for Intelligence MIT-IBM Watson AI Lab National Science Foundation (NSF) Natural language processing Programming Research School of Engineering School of Science

Teaching AI agents to ask better questions by playing “Battleship”

MIT researchers use the classic game as a test bed for AI agents, finding a small AI model can outperform the biggest ones at 1 percent of the cost.

Algorithms Artificial Intelligence Computer science and technology Electrical engineering and computer science (EECS) Faculty Game theory Human-computer interaction Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Profile School of Engineering

Games people — and machines — play: Untangling strategic reasoning to advance AI

Assistant Professor Gabriele Farina mines the foundations of decision-making in complex multi-agent scenarios.

Algorithms Artificial Intelligence Collaboration Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) Funding Industry machine learning MIT Schwarzman College of Computing MIT-IBM Computing Research Lab MIT-IBM Watson AI Lab Quantum Computing Research Supercomputing

The MIT-IBM Computing Research Lab launches to shape the future of AI and quantum computing

Building on a long-standing MIT–IBM collaboration, the new lab will chart the convergence of AI, algorithms, and quantum computing.

Algorithms Artificial Intelligence Computer science and technology Data Electrical engineering and computer science (EECS) Energy Environment machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Research School of Engineering Sustainability Sustainable computing Technology and society

A faster way to estimate AI power consumption

The “EnergAIzer” method generates reliable results in seconds, enabling data center operators to efficiently allocate resources and reduce wasted energy.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Contests and academic competitions Data Electrical engineering and computer science (EECS) machine learning Mathematics MIT Schwarzman College of Computing National Science Foundation (NSF) School of Engineering

MIT scientists build the world’s largest collection of Olympiad-level math problems, and open it to everyone

New dataset of 30,000-plus competition math problems from 47 countries gives AI researchers a harder test — and students worldwide a better training ground.