Algorithms
Algorithms

Algorithms

Algorithms Artificial Intelligence Civil and environmental engineering Computer science and technology IDSS Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing National Science Foundation (NSF) Research School of Engineering

AI accelerates problem-solving in complex scenarios

A new, data-driven approach could lead to better solutions for tricky optimization problems like global package routing or power grid operation.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical Engineering & Computer Science (eecs) Faculty machine learning MIT Schwarzman College of Computing School of Engineering Special events and guest speakers Staff Students

What does the future hold for generative AI?

Rodney Brooks, co-founder of iRobot, kicks off an MIT symposium on the promise and potential pitfalls of increasingly powerful AI tools like ChatGPT.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical Engineering & Computer Science (eecs) Human-computer interaction machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Research Robots

New method uses crowdsourced feedback to help train robots

Human Guided Exploration (HuGE) enables AI agents to learn quickly with some help from humans, even if the humans make mistakes.

Algorithms Artificial Intelligence Bacteria Biological engineering Biology Brain and cognitive sciences Broad Institute Computational biology Computer science and technology CRISPR Data DNA Genetic engineering Genome Genome editing McGovern Institute Microbes National Institutes of Health (NIH) Research RNA School of Engineering School of Science

Search algorithm reveals nearly 200 new kinds of CRISPR systems

By analyzing bacterial data, researchers have discovered thousands of rare new CRISPR systems that have a range of functions and could enable gene editing, diagnostics, and more.

Algorithms Artificial Intelligence Computer science and technology Data Electrical Engineering & Computer Science (eecs) Internet Of Things machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Mobile devices National Science Foundation (NSF) Privacy Research School of Engineering

Technique enables AI on edge devices to keep learning over time

With the PockEngine training method, machine-learning models can efficiently and continuously learn from user data on edge devices like smartphones.

Algorithms Artificial Intelligence Brain and cognitive sciences Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical Engineering & Computer Science (eecs) Imaging machine learning Microscopy MIT Schwarzman College of Computing Nanoscience and nanotechnology Neurons Neuroscience Research School of Engineering Synapses

Using AI to optimize for rapid neural imaging

MIT CSAIL researchers combine AI and electron microscopy to expedite detailed brain network mapping, aiming to enhance connectomics research and clinical pathology.

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Generating opportunities with generative AI

Rama Ramakrishnan helps companies explore the promises and perils of large language models and other transformative AI technologies.

Aircraft Algorithms Artificial Intelligence Aviation Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Distributed Robotics Laboratory Drones Electrical engineering and computer science (EECS) Human-computer interaction machine learning MIT Schwarzman College of Computing Networks Research Robotics School of Engineering

AI copilot enhances human precision for safer aviation

Designed to ensure safer skies, “Air-Guardian” blends human intuition with machine precision, creating a more symbiotic relationship between pilot and aircraft.

Aircraft Algorithms Artificial Intelligence Aviation Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Distributed Robotics Laboratory Drones Electrical engineering and computer science (EECS) Human-computer interaction machine learning MIT Schwarzman College of Computing Networks Research Robotics School of Engineering

AI copilot enhances human precision for safer aviation

Designed to ensure safer skies, “Air-Guardian” blends human intuition with machine precision, creating a more symbiotic relationship between pilot and aircraft.

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MIT scholars awarded seed grants to probe the social implications of generative AI

The 27 finalists — representing every school at MIT — will explore the technology’s impact on democracy, education, sustainability, communications, and much more.