Algorithms
Algorithms

Algorithms

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical engineering and computer science (EECS) Human-computer interaction Interview machine learning MIT Schwarzman College of Computing School of Engineering

Q&A: What is agentic AI today, and what do we want it to be?

Computer scientist Phillip Isola cuts through the hype to explain how AI agents work and what the future might hold for this rapidly advancing technology.

Algorithms Alumni/ae Artificial Intelligence Computer science and technology Data Design Exhibits Interview machine learning School of Architecture and Planning Special events and guest speakers

3 Questions: Beyond data-driven aesthetics

In a new Keller Gallery exhibition, Alexandros Haridis SM ’17, PhD ’22 traces centuries of ideas about aesthetic judgment and explores how design can make complex computational systems visible.

Aeronautical and astronautical engineering Algorithms Artificial Intelligence Automation Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) machine learning MIT Schwarzman College of Computing Natural language processing Research Robotics School of Engineering

LLMs help robots understand vague instructions and focus on key details

To help robots do chores in places like homes and factories, a new approach from MIT uses one language model to clarify users’ instructions, then another to ignore irrelevant info.

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 Research School of Engineering Software Sustainability

Improving the speed and energy-efficiency of AI agents

A new system, known as Murakkab, optimizes the design and deployment of multistep workflows that power AI applications.

Aeronautical and astronautical engineering Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Democracy Economics Electrical engineering and computer science (EECS) Government Labor and jobs MIT Schwarzman College of Computing MIT Sloan School of Management Political science politics Program in STS Robotics School of Engineering School of Humanities Arts and Social Sciences Special events and guest speakers Technology and society

Exploring the societal impacts of AI

During the AI and Society Forum, leading MIT researchers examined critical questions about AI’s influence on employment and democracy.

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.