Algorithms
Algorithms

Algorithms

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.

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 Research School of Engineering

Teaching AI models to say “I’m not sure”

A new training method improves the reliability of AI confidence estimates without sacrificing performance, addressing a root cause of hallucination in reasoning models.

Algorithms Artificial Intelligence Autonomous Underwater Vehicles (AUV) Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) Human-computer interaction Lincoln Laboratory machine learning MIT Schwarzman College of Computing Oceanography and ocean engineering Research Robotics School of Engineering sensors

Human-machine teaming dives underwater

Researchers are developing hardware and algorithms to improve collaboration between divers and autonomous underwater vehicles engaged in maritime missions.

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 Research School of Engineering

New technique makes AI models leaner and faster while they’re still learning

Researchers use control theory to shed unnecessary complexity from AI models during training, cutting compute costs without sacrificing performance.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Defense Advanced Research Projects Agency (DARPA) Electrical engineering and computer science (EECS) Electronics machine learning MIT Schwarzman College of Computing National Science Foundation (NSF) Research School of Engineering Sustainability

Helping data centers deliver higher performance with less hardware

Researchers developed a system that intelligently balances workloads to improve the efficiency of flash storage hardware in a data center.

Aeronautical and astronautical engineering Algorithms Artificial Intelligence Defense Advanced Research Projects Agency (DARPA) Electrical engineering and computer science (EECS) Ethics Human-computer interaction Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Research School of Engineering

Evaluating the ethics of autonomous systems

MIT researchers developed a testing framework that pinpoints situations where AI decision-support systems are not treating people and communities fairly.

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.

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.

Algorithms Artificial Intelligence Astronomy and astrophysics chemistry Computer science and technology Data Faculty IDSS Interview Laboratory for Nuclear Science machine learning Materials science and engineering Mathematics MIT Schwarzman College of Computing National Science Foundation (NSF) Physics Research School of Science

3 Questions: On the future of AI and the mathematical and physical sciences

Professor Jesse Thaler describes a vision for a two-way bridge between artificial intelligence and the mathematical and physical sciences — one that promises to advance both.