In Compton Lecture, the distinguished legal scholar warns of potential “loss of the Enlightenment” while suggesting ways innovations can meet our civic and cultural needs.

During the School of Humanities, Arts, and Social Sciences’ 75th Anniversary Symposium, President Sally Kornbluth said “MIT has never needed your particular insight and guidance more than we do now.”

Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.

“X-Hinges” helps design and 3D print items like lamps and gloves with an interactive twist: automatically embedded sensors that perceive and adaptively respond to human contact.

A model developed by researchers at MIT and Boston Children's Hospital adjusts scans on the fly to track fetal movement, potentially sparing families repeat hospital visits.

New research can help AI models understand crystalline materials in 3D and reason about their properties.

The 18th annual Kendall Square Association Annual Meeting explored how new technologies could be a force for shared prosperity in society.

MIT's Center for Transportation and Logistics finds sustainability commitments are strong, but governance gaps and external disruptions prevent execution.

A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.

In a new book, Professor Eric So explores how the technology affects our thinking skills.

A new machine-learning approach broke records for weather forecasting for an important time frame in emergency planning.

Machine-learning networks can learn without detailed instructions from a designer. Those that do may offer insight into how the brain reorganizes itself during learning.

Roadshow event highlights Massachusetts' defense-biotechnology ecosystem.

Professor Deb Roy contends there should be someone who is “answerable” for every piece of text in public life, no matter its origins.

MIT Statistics and Data Science Center Director Alexander (Sasha) Rakhlin shares important considerations for departments and institutions.

By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.

Students in MIT’s Concourse program delve deeply into the human condition, debate challenging questions, and learn to develop judgment about issues that can’t be quantified.

An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.

As director, Bourg has focused on digital access, open and equitable scholarly publishing, and expanded support for data-intensive research.

The effort aims to help U.S. learners from kindergarten to community college, with an emphasis on math, making, and the constructive use of AI.

Associate Professor Cathy Wu uses reinforcement learning to help map out improvements to transportation and other multifaceted systems.

Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.

Martin Trust Center Managing Director Bill Aulet introduces Dear Dreamer, a free platform for middle and high school students who want to learn about entrepreneurship.

“InstructMesh” can generate designs for everyday objects that are easy to edit and fabricate for both experts and newcomers to 3D modeling.

With $2.1 million funding from Google.org, the open-source Public Transit Intelligence Hub will unify public transit monitoring, operations, and passenger communication.

Able to defeat top-ranked human players and more efficient than other models, the new system could help decision-makers in military maneuvers or business negotiations.

Professor Sherry Turkle’s new book, “Artificial Intimacy,” offers a withering critique of chatbots and the antisocial dynamics she believes they encourage.

In a study focusing on hiring decisions, MIT researchers found the use of a single algorithm by many firms could benefit job seekers in certain situations.

MIT engineers have found a way to stabilize the lipid nanoparticles used to deliver RNA vaccines, which could allow the vaccines to be more widely distributed.

The PKG Center for Social Impact expands Code.Tulsa experiential learning program.

A new language-processing tool could help identify the highest-risk individuals from natural language, enabling swifter interventions.

In their new book, “How AI Sees the City,” the leaders of MIT’s Senseable City Lab examine the technology’s implications for researching urban life.

Computer scientist, entrepreneur, and philanthropist will collaborate with the MIT Schwarzman College of Computing to advance AI and scientific discovery.

Patricia and James Poitras ’63 provide fellowships for graduate students and postdocs who will shape the future of mental health research.

A new focus on fiction and memoir aims to help the MIT community celebrate the power of storytelling and strengthen social connection.

This patient-specific method, called xvr, helps doctors use X-rays for surgical navigation in fields such as orthopedics and neurosurgery.

Naoki Egami has become a standout in political methodology, helping refine tools that give scholars durable results.

The “HardFlow” algorithm could help generative AI models produce high-quality outputs that obey strict requirements when “pretty close” doesn’t cut it.

Atlas Building Composites is commercializing MIT research to turn plastic waste into parts for buildings and other infrastructure.

The handheld catheterization device AI-GUIDE, created by Lincoln Laboratory and Massachusetts General Hospital, promises improved health outcomes for injured service members and civilians.

A weeklong summer workshop brought higher education faculty to campus to explore how AI and machine learning materials can be adapted for their classrooms.

MIT affiliates engage with the MIT-IBM Computing Research Lab to bring rigorous theory to production systems.

A new method, called CW-Net, translates the reasoning process of an autonomous vehicle’s AI system into understandable concepts that explain its behavior.

The senior lecturer, already director of the degree program, will now oversee all aspects of the center’s activities and operations.

The PhD student works to give young people an active role in shaping digital technologies that can support their own well-being.

The Institute welcomes its first cohort of QMIT Fellows this fall to advance interdisciplinary quantum research.

With millions of users across the world, Julia has been used to conduct cutting-edge research and to design new drugs, jet engines, heat pumps, and more.

A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.

The “CrysVCD” tool developed at MIT could cut the huge amounts of time and money spent on screening out chemically unstable designs.

A new algorithm learns to anticipate the unprecedented scenarios that critical infrastructure and global supply chains are least prepared for.