Artificial Inteligence feed

Technology usually creates jobs for young, skilled workers. Will AI do the same?

Mit.edu [artificial-intelligence] - 04:00 May 21, 2026

A new study of the postwar U.S. shows which kinds of workers historically filled new tech-enabled jobs.
Building AI models that understand chemical principles

Mit.edu [artificial-intelligence] - 04:00 May 20, 2026

Connor Coley works at the interface of chemistry and machine learning, to discover and design new drug compounds.
Justin Solomon appointed associate dean of engineering education

Mit.edu [artificial-intelligence] - 21:10 May 19, 2026

MIT faculty member in electrical engineering and computer science to focus on innovation in engineering education and new pedagogical approaches.
Two from MIT named 2026 Knight-Hennessy Scholars

Mit.edu [artificial-intelligence] - 20:55 May 14, 2026

The prestigious fellowship funds graduate studies at Stanford University.
Universal AI is “a pathway to AI fluency that’s accessible and approachable to anyone, anywhere”

Mit.edu [artificial-intelligence] - 15:00 May 12, 2026

New AI education program from MIT Open Learning debuts with AI-powered personalization and a free introductory course for learners everywhere.
Q&A: Expanding MIT’s global reach through Universal Learning

Mit.edu [artificial-intelligence] - 15:00 May 12, 2026

Dimitris Bertsimas and Megan Mitchell discuss the motivation behind Universal Learning, and what sets the new MIT Open Learning educational initiative apart.

Tags: Universal Learning
Study: Firms often use automation to control certain workers’ wages

Mit.edu [artificial-intelligence] - 04:00 May 07, 2026

MIT economists found US companies tend to target employees earning a “wage premium,” which increases inequality but not necessarily productivity.
Games people — and machines — play: Untangling strategic reasoning to advance AI

Mit.edu [artificial-intelligence] - 21:00 May 05, 2026

Assistant Professor Gabriele Farina mines the foundations of decision-making in complex multi-agent scenarios.
Improving understanding with language

Mit.edu [artificial-intelligence] - 04:00 May 01, 2026

MIT senior Olivia Honeycutt investigates how the ways we communicate can shape our views of the world.
Beacon Biosignals is mapping the brain during sleep

Mit.edu [artificial-intelligence] - 04:00 May 01, 2026

Founded by Jake Donoghue PhD ’19 and former MIT researcher Jarrett Revels, the company is creating an AI-driven platform to help diagnose and treat disease.
Making the case for curiosity-driven science

Mit.edu [artificial-intelligence] - 04:00 Apr 30, 2026

President Sally Kornbluth spoke in front of a packed crowd about growing challenges to the U.S. research ecosystem as funding for America’s top research universities becomes increasingly strained
Solving the “Whac-a-mole dilemma”: A smarter way to debias AI vision models

Mit.edu [artificial-intelligence] - 21:40 Apr 29, 2026

A new debiasing technique called WRING avoids creating or amplifying biases that can occur with existing debiasing approaches.
The MIT-IBM Computing Research Lab launches to shape the future of AI and quantum computing

Mit.edu [artificial-intelligence] - 10:00 Apr 29, 2026

Building on a long-standing MIT–IBM collaboration, the new lab will chart the convergence of AI, algorithms, and quantum computing.
Enabling privacy-preserving AI training on everyday devices

Mit.edu [artificial-intelligence] - 04:00 Apr 29, 2026

A new method could bring more accurate and efficient AI models to high-stakes applications like health care and finance, even in under-resourced settings.
A faster way to estimate AI power consumption

Mit.edu [artificial-intelligence] - 04:00 Apr 27, 2026

The “EnergAIzer” method generates reliable results in seconds, enabling data center operators to efficiently allocate resources and reduce wasted energy.
MIT scientists build the world’s largest collection of Olympiad-level math problems, and open it to everyone

Mit.edu [artificial-intelligence] - 17:00 Apr 24, 2026

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

Mit.edu [artificial-intelligence] - 19:15 Apr 22, 2026

A new training method improves the reliability of AI confidence estimates without sacrificing performance, addressing a root cause of hallucination in reasoning models.
Jacob Andreas and Brett McGuire named Edgerton Award winners

Mit.edu [artificial-intelligence] - 13:40 Apr 17, 2026

The associate professors of EECS and chemistry, respectively, are honored for exceptional contributions to teaching, research, and service at MIT.
Bringing AI-driven protein-design tools to biologists everywhere

Mit.edu [artificial-intelligence] - 04:00 Apr 17, 2026

Founded by Tristan Bepler PhD ’20 and former MIT professor Tim Lu PhD ’07, OpenProtein.AI offers researchers open-source models and other tools for protein engineering.
Q&A: MIT SHASS and the future of education in the age of AI

Mit.edu [artificial-intelligence] - 13:00 Apr 14, 2026

As the School of Humanities, Arts, and Social Sciences marks 75 years, Dean Agustín Rayo reflects on how AI is reshaping higher education and why SHASS disciplines continue to be central to MIT’s mission.

Technology usually creates jobs for young, skilled workers. Will AI do the same?

Building AI models that understand chemical principles

Justin Solomon appointed associate dean of engineering education

Two from MIT named 2026 Knight-Hennessy Scholars

Universal AI is “a pathway to AI fluency that’s accessible and approachable to anyone, anywhere”

Q&A: Expanding MIT’s global reach through Universal Learning

Study: Firms often use automation to control certain workers’ wages

Games people — and machines — play: Untangling strategic reasoning to advance AI

Improving understanding with language

Beacon Biosignals is mapping the brain during sleep

Making the case for curiosity-driven science

Solving the “Whac-a-mole dilemma”: A smarter way to debias AI vision models

The MIT-IBM Computing Research Lab launches to shape the future of AI and quantum computing

Enabling privacy-preserving AI training on everyday devices

A faster way to estimate AI power consumption

MIT scientists build the world’s largest collection of Olympiad-level math problems, and open it to everyone

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

Jacob Andreas and Brett McGuire named Edgerton Award winners

Bringing AI-driven protein-design tools to biologists everywhere

Q&A: MIT SHASS and the future of education in the age of AI

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