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MIT engineers design an aerial microrobot that can fly as fast as a bumblebee

Aeronautical and astronautical engineering, Artificial Intelligence, Bioinspiration, Drones, Electrical engineering and computer science (EECS), Electronics, Laboratory for Information and Decision Systems (LIDS), Machine Learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, Research Laboratory of Electronics, Robotics, School of Engineering

In the future, tiny flying robots could be deployed to aid in the search for survivors trapped beneath the rubble after a devastating earthquake. Like real insects, these robots could flit through tight spaces larger robots can’t reach, while simultaneously dodging stationary obstacles and pieces of falling rubble.So far, aerial microrobots have only been able […]

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New control system teaches soft robots the art of staying safe

Artificial Intelligence, Civil and environmental engineering, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical engineering and computer science (EECS), IDSS, Laboratory for Information and Decision Systems (LIDS), Machine Learning, Mechanical engineering, MIT Schwarzman College of Computing, Research, Robotics, Safety, School of Engineering

Imagine having a continuum soft robotic arm bend around a bunch of grapes or broccoli, adjusting its grip in real time as it lifts the object. Unlike traditional rigid robots that generally aim to avoid contact with the environment as much as possible and stay far away from humans for safety reasons, this arm senses

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MIT scientists debut a generative AI model that could create molecules addressing hard-to-treat diseases

Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Drug development, Electrical engineering and computer science (EECS), Health sciences and technology, Jameel Clinic, Machine Learning, Medicine, MIT Schwarzman College of Computing, Pharmaceuticals, Proteins, Research, School of Engineering, Special events and guest speakers

More than 300 people across academia and industry spilled into an auditorium to attend a BoltzGen seminar on Thursday, Oct. 30, hosted by the Abdul Latif Jameel Clinic for Machine Learning in Health (MIT Jameel Clinic). Headlining the event was MIT PhD student and BoltzGen’s first author Hannes Stärk, who had announced BoltzGen just a few days

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Researchers discover a shortcoming that makes LLMs less reliable

Artificial Intelligence, Computer science and technology, data, Electrical engineering and computer science (EECS), Human-computer interaction, Institute for Medical Engineering and Science (IMES), Laboratory for Information and Decision Systems (LIDS), Machine Learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, School of Engineering, Technology and society

Large language models (LLMs) sometimes learn the wrong lessons, according to an MIT study.Rather than answering a query based on domain knowledge, an LLM could respond by leveraging grammatical patterns it learned during training. This can cause a model to fail unexpectedly when deployed on new tasks.The researchers found that models can mistakenly link certain

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MIT Sea Grant students explore the intersection of technology and offshore aquaculture in Norway

Artificial Intelligence, Center for International Studies, Classes and programs, Collaboration, data, Environment, Europe, Food, Global, Industry, International initiatives, Internships, Machine Learning, Mechanical engineering, MISTI, MIT Schwarzman College of Computing, MIT Sea Grant, Oceanography and ocean engineering, Robotics, School of Engineering, School of Humanities Arts and Social Sciences, Sensors, Software, Students, UAV, Undergraduate, Undergraduate Research Opportunities Program (UROP), Water

Norway is the world’s largest producer of farmed Atlantic salmon and a top exporter of seafood, while the United States remains the largest importer of these products, according to the Food and Agriculture Organization. Two MIT students recently traveled to Trondheim, Norway to explore the cutting-edge technologies being developed and deployed in offshore aquaculture. Beckett Devoe,

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New AI agent learns to use CAD to create 3D objects from sketches

3-D, Artificial Intelligence, automation, Computer modeling, Design, Machine Learning, Mechanical engineering, Research, School of Engineering, Software

Computer-Aided Design (CAD) is the go-to method for designing most of today’s physical products. Engineers use CAD to turn 2D sketches into 3D models that they can then test and refine before sending a final version to a production line. But the software is notoriously complicated to learn, with thousands of commands to choose from.

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How artificial intelligence can help achieve a clean energy future

Artificial Intelligence, Chemical engineering, Cleaner industry, Climate, Electric grid, Electric vehicles, Energy, Energy efficiency, Energy storage, infrastructure, Investments, Machine Learning, Mechanical engineering, MIT Energy Initiative, Renewable energy, Research, School of Engineering, Sustainability, Sustainable computing, Weather modeling

There is growing attention on the links between artificial intelligence and increased energy demands. But while the power-hungry data centers being built to support AI could potentially stress electricity grids, increase customer prices and service interruptions, and generally slow the transition to clean energy, the use of artificial intelligence can also help the energy transition.For

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Five with MIT ties elected to National Academy of Medicine for 2025

Alumni/ae, Artificial Intelligence, Awards, honors and fellowships, Biology, Computer Science and Artificial Intelligence Laboratory (CSAIL), Disease, Electrical engineering and computer science (EECS), Faculty, Harvard-MIT Health Sciences and Technology, Health care, Health sciences and technology, Koch Institute, Mechanical engineering, MIT Schwarzman College of Computing, Physics, Ragon Institute, School of Engineering, School of Science, Vaccines, Wireless

On Oct. 20 during its annual meeting, the National Academy of Medicine announced the election of 100 new members, including MIT faculty members Dina Katabi and Facundo Batista, along with three additional MIT alumni.Election to the National Academy of Medicine (NAM) is considered one of the highest honors in the fields of health and medicine,

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The brain power behind sustainable AI

Artificial Intelligence, Community, Computer science and technology, DMSE, Energy, Energy efficiency, Graduate, postdoctoral, Nuclear science and engineering, Profile, Research, School of Engineering, Science communications, Students, Sustainability

How can you use science to build a better gingerbread house?That was something Miranda Schwacke spent a lot of time thinking about. The MIT graduate student in the Department of Materials Science and Engineering (DMSE) is part of Kitchen Matters, a group of grad students who use food and kitchen tools to explain scientific concepts through short videos

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A faster problem-solving tool that guarantees feasibility

Algorithms, Alternative energy, Artificial Intelligence, Computer science and technology, Electrical engineering and computer science (EECS), Laboratory for Information and Decision Systems (LIDS), Machine Learning, MIT Schwarzman College of Computing, Research, School of Engineering

Managing a power grid is like trying to solve an enormous puzzle.Grid operators must ensure the proper amount of power is flowing to the right areas at the exact time when it is needed, and they must do this in a way that minimizes costs without overloading physical infrastructure. Even more, they must solve this

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