School of Engineering

Auto Added by WPeMatico

How a medical database developed at MIT evolved into a global standard of data-sharing

ai, AI (Artificial Intelligence), Artificial Intelligence, data, Electrical engineering and computer science (EECS), Harvard-MIT Health Sciences and Technology, Health care, Health sciences and technology, history, History of MIT, History of science, Information systems, Institute for Medical Engineering and Science (IMES), Internet, Medicine, Research Laboratory of Electronics, School of Engineering

Before the advancement of scientific data storage and collaboration via the cloud, medical investigators seeking health research breakthroughs had to overcome significant obstacles to collaboration and key clinical data gathering. Data were siloed and difficult to distribute, so those looking to undertake research had no option but to gather them themselves. This not only made research […]

How a medical database developed at MIT evolved into a global standard of data-sharing Read More »

Working to automate nuclear plant operations

ai, AI (Artificial Intelligence), Artificial Intelligence, automation, Awards, honors and fellowships, Computer modeling, Department of Energy (DoE), Energy, Graduate, postdoctoral, Human-computer interaction, Mechanical engineering, Nuclear power and reactors, Nuclear science and engineering, Profile, Renewable energy, Research, ROTC, School of Engineering, Software, Students, U.S. Armed Forces

For nuclear to be considered as a viable clean energy source, it has to be competitively priced and economical to produce. Lauren Fortier, a second-year doctoral student in the Department of Nuclear Science and Engineering (NSE), is helping the cause by developing remote operation protocols for autonomous control of nuclear plants. After an undergraduate degree in materials

Working to automate nuclear plant operations Read More »

MIT projects selected for funding under US Department of Energy’s Genesis Mission

Administration, ai, AI (Artificial Intelligence), Artificial Intelligence, Chemical engineering, Department of Energy (DoE), EAPS, Faculty, Funding, Industry, Laboratory for Nuclear Science, manufacturing, Mechanical engineering, Nuclear science and engineering, Physics, Plasma Science and Fusion Center, Quantum Computing, Research Laboratory of Electronics, School of Engineering, School of Science

MIT researchers are set to contribute to the U.S. Department of Energy’s (DOE) Genesis Mission, with 15 collaborative projects among those selected for funding under Genesis Phase I, DOE announced Wednesday.The Genesis Mission, a national initiative, intends to build “the world’s most powerful integrated science discovery platform” by incentivizing cross-sector collaborations that leverage AI, supercomputing, quantum systems,

MIT projects selected for funding under US Department of Energy’s Genesis Mission Read More »

Professor Emeritus Dimitri Bertsekas, influential computer scientist and prolific author, dies at 83

ai, AI (Artificial Intelligence), Alumni/ae, Artificial Intelligence, Books and authors, Computer science and technology, Electrical engineering and computer science (EECS), Faculty, Laboratory for Information and Decision Systems (LIDS), MIT Schwarzman College of Computing, Networks, Obituaries, Photography, Programming, Research, School of Engineering

Dimitri Bertsekas PhD ’71, the Jerry McAfee (1940) Emeritus Professor in Engineering in the Department of Electrical Engineering and Computer Science (EECS), a principal investigator in the Laboratory for Information and Decision Systems (LIDS), and the Fulton Professor of Computational Decision Making at Arizona State University, died on June 3 at his home in Belmont,

Professor Emeritus Dimitri Bertsekas, influential computer scientist and prolific author, dies at 83 Read More »

Following the questions where they lead

ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Computer science and technology, Democracy, Electrical engineering and computer science (EECS), Faculty, government, Labor and jobs, Laboratory for Information and Decision Systems (LIDS), MIT Schwarzman College of Computing, Political science, Politics, Profile, Public health, School of Engineering, School of Humanities Arts and Social Sciences, Technology and society

Ever since she was a child playing on her family’s farmland in Wisconsin, Bailey Flanigan was guided by her own selective, yet wide-ranging, curiosity. Describing her young self as spirited and a bit unruly, she directed her energies to everything from building booby traps to doing experimental construction projects to exploring an intense interest in

Following the questions where they lead Read More »

A better way to turn 2D designs into 3D models for rapid prototyping

ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Computer modeling, Computer science and technology, Design, Machine Learning, Mechanical engineering, MIT Schwarzman College of Computing, MIT-IBM Computing Research Lab, Research, School of Engineering, Systems design

Engineers often use vision-language models to produce new designs, such as for airplane or automobile components. To simulate how those components will perform in realistic situations, they’ll use tried-and-true computer-aided design (CAD) software to generate 3D models of those designs, which they can put through virtual crash or durability tests. Researchers from MIT and elsewhere have

A better way to turn 2D designs into 3D models for rapid prototyping Read More »

Helping AI models to meet the real world

ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Business and management, Computer science and technology, data, Electrical engineering and computer science (EECS), Faculty, IDSS, Innovation and Entrepreneurship (I&E), Laboratory for Information and Decision Systems (LIDS), MIT intellectual property, MIT Schwarzman College of Computing, Profile, Research, School of Engineering, Startups

Systems using artificial intelligence to enhance forecasting, planning, and decision-making in businesses have been proliferating in recent years, but in many cases, they lack the detailed, specific information about the organization itself, limiting the usefulness of those tools. Devavrat Shah, a principal investigator at MIT’s Laboratory for Information and Decision Systems (LIDS), faculty member with the

Helping AI models to meet the real world Read More »

Can AI build a jet engine? JARVIS Challenge tests role of AI copilots in tough-tech engineering

3-D printing, Aeronautical and astronautical engineering, ai, AI (Artificial Intelligence), Aircraft, Artificial Intelligence, Classes and programs, Contests and academic competitions, Design, Education, teaching, academics, Independent Activities Period, Lincoln Laboratory, Logistics, Machine Learning, Mechanical engineering, Robotics, School of Engineering, STEM education, Students, Undergraduate

Artificial intelligence has rapidly transformed software engineering. Generative AI and large language models (LLMs) can create huge volumes of code and documentation; machine-learning algorithms can monitor performance and detect security vulnerabilities. But when the task is to conceive, design, and make a complex physical system such as a jet engine, are those AI tools equally

Can AI build a jet engine? JARVIS Challenge tests role of AI copilots in tough-tech engineering Read More »

AI agents create virtual playgrounds to help robots get crucial training data

3-D, ai, AI (Artificial Intelligence), Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical engineering and computer science (EECS), Machine Learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, Robotics, School of Engineering, Simulation

Robots walking down the street, surrounded by astounded onlookers, is an increasingly common sight. But these machines aren’t yet the do-it-all assistants you’d want working in a kitchen or factory, and a major bottleneck is data. Much like humans, robots learn best by experience. The challenge is that it’s labor-intensive and time-consuming to physically teach

AI agents create virtual playgrounds to help robots get crucial training data Read More »

New method aims to keep kids safe from illegal AI-generated content

ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Computer science and technology, ethics, Human-computer interaction, Institute for Medical Engineering and Science (IMES), Laboratory for Information and Decision Systems (LIDS), Machine Learning, MIT Schwarzman College of Computing, Privacy, Public health, Research, School of Engineering

With the exploding popularity of generative artificial intelligence, many open-source models are now available online for anyone to adapt for their task, such as generating product renderings in a certain artistic style. But these models also find their way into the hands of nefarious actors who may optimize them to produce illegal content, like hate speech

New method aims to keep kids safe from illegal AI-generated content Read More »