Recent entries

One Model Family, Two Gold-Level Results: Fine-Tuning Nemotron for IOI and IMO

Supercomputing researchers document evolution of AI hardware

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

Chris Bourg named vice provost and Barbara K. Ostrom (1978) Director of the MIT Libraries

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

MIT announces the MIT for America initiative, to strengthen STEM education across the country

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.

Falcon-Emirati: When an LLM Learns the Dialect, the Culture, and the Nuance

The Agent Said It Was Done. The Database Disagreed.

Computational tools for society’s most complex challenges

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

Documenting the tech worker movement

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.

Open-sourcing AstaBrief, the fast report-generation model in Asta

AutoSynthData: Generating Training Data for Enterprise Agents

3 Questions: A new resource to empower young entrepreneurs

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.

New tool lets users repair AI-generated 3D models, then fabricate them just the way they want

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

MIT Transit Lab to develop an AI platform for public transit agencies

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

This game-playing AI is the new champ at Stratego

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.

Open TTS Leaderboard: Scalable Evaluation for Multilingual Text-to-Speech and Voice Cloning

Getting the Source Right, Not Just the Fact: Source-Aware Verification for MCP Agents

Who we become when we talk to machines

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

The effects of an “algorithmic monoculture” depend on the details

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.

Holo4: powering generalist computer-use agents

New formulation helps RNA vaccines withstand high temperatures

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.

Welcome RL Environments to the hub

MIT students gain a humanist lens on technical innovation in Tulsa, Oklahoma

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

Estimating suicide risk from text

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

Accelerating vision-language models with LFM2.5-VL-DSpark

The promise and peril of using visual AI to study cities

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.

MIT welcomes David Siegel SM ’86, PhD ’91 as its next Innovation Fellow

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

Poitras Center to fuel early careers of 50 young scientists dedicated to psychiatric disorders research

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

Transformers now runs llama.cpp quants

Jun Kim, oMLX creator and maintainer, joins Hugging Face to support the MLX community

How UK AISI and EvalEval Are Making Benchmark Results Reproducible

tokenizers v1: encode, decode and scaling, measured

A new chapter for MIT Reads

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

New AI technique could make minimally invasive surgeries safer and more precise

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

Measure by measure, studying society accurately

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

Your Agent Aced the Task. Will It Do It Again?

New method enables AI for safety-critical situations

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

MIT spinout turns plastic waste into resilient building materials

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

Lifesaving Lincoln Laboratory device wins 2026 Excellence in Technology Transfer Award

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

Rebuilding AUTOMATIC1111 with Gradio Workflow

Async GRPO with LoRA across HF Jobs: a bucket, a proxy, and no NCCL

MIT Schwarzman College of Computing launches pilot to help educators teach AI across disciplines

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

NeoMME: an efficient Multimodal-native and Multilingual Encoder

Training a coding model to paint watercolours with TRL and OpenEnv

Fine-tuning a 350M Model for Better Structured Outputs in 100 GRPO Steps

Give Your Coding Agents a Memory You Own

From MIT to IBM, expediting AI and quantum deployment

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

System helps humans predict when self-driving cars will make mistakes

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

BenchMIRT: What are LLM benchmarks actually measuring?

Walter Torous named executive director of MIT Center for Real Estate

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

Ila Kumar: Innovating with communities

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

Introducing @huggingface/kernels: 200+ WebGPU Kernels for Local AI

MIT Quantum Initiative launches postdoctoral fellowship program

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

How an MIT research project became a global programming language

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.

The Open ASR Leaderboard Adds Its First Global South Language

Looking beyond natural sequences

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.

AI helps design new materials that work in the real world

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

Training and Finetuning Multi-Vector Embedding Models with Sentence Transformers

Granite 4.2 LLMs: How They're Built

Quantization-Aware Healing: a compressed, 4-bit model that outperforms its full-precision original

Wire It, Run It, Deploy It: AI Workflows in Gradio

Generating scenarios for extreme events, without extreme data

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

How Hugging Face Inference Endpoints, Jobs, and Buckets Power Search on Papers with Code

Measuring benchmark optimization in speech recognition

Paving the way for greener ammonia production

New MIT research could lead to better materials for a fossil-fuel-free process for making the chemical that's essential to fertilizer and other products.

Up to 3.2x Faster Inference with LFM2.5-DSpark

How Much Memory Does Your Agent Actually Need?

When AI art has no author: Study finds generated images often can’t be traced to training data

A new method for surgically removing training examples from a model reveals that as datasets grow, the link between what a model learns and what it produces dissolves.

Multi-Vector (Late Interaction) Embedding Models with Sentence Transformers

Q&A: Rethinking how innovation happens

In his latest book, Professor Eugene Fitzgerald examines the forces that turn breakthroughs into value — and why innovation resists simple formulas.

Same Cluster, 33 Points More Utilization: What Changed Was the Order

State of Open Models: Summer 2026 Observations

Record, train, and deploy from one place with Strands Agents, LeRobot, and Hugging Face Storage Buckets

What We Learned by Reproducing 2,200 papers from ICML

Introducing OlmoEarth embeddings: Custom embedding exports from OlmoEarth Studio for downstream analysis

Thinking of ACE? We Can Do It with Fewer Tokens

With a feel for physics, AI models simulate a wider range of real-world scenarios

“GeoPT” helps AI models understand the basics of physics so they can simulate how objects respond to things like wind and water more efficiently and accurately.

Build Low-Latency Multilingual Voice Agents: Open Weights & Full Deployment Control with NVIDIA Magpie TTS

Making Knowledge Distillation Cheap Enough to Run at Scale

Meta is back with Muse Glimmer: local, agentic, multimodal, and open source

Baseten on Hugging Face Inference Providers 🔥

Solving the solvent problem

By focusing on electrolytes, MIT scientists are making sodium-metal batteries a more practical energy storage option.

The benefits of medical AI assistance vary based on user expertise

Study finds non-experts deferred to LLM-based diagnostic assistance, even when it was wrong, while clinicians caught AI errors.

Alexander Rakhlin named director of the MIT Statistics and Data Science Center

An expert in machine learning, statistics, and computation, Rakhlin succeeds Professor Ankur Moitra.

Daniela Rus receives Bavarian Minister-President's High-Tech Prize

Director of CSAIL and MIT professor honored for her contributions to robotics, artificial intelligence, and autonomous systems.

Connecting research to policy on Capitol Hill

MIT students and postdocs discussed science funding and research with policymakers in Washington during the MIT Science Policy Initiative’s annual Congressional Visit Days.

GPU Management: Why Idle GPUs Are the New Grounded Aircraft

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

The visionary PhysioNet platform launched 25 years ago, based on a system developed at MIT in the 1970s. It has become one of the most comprehensive biomedical and clinical data repositories in existence.

NVIDIA Cosmos-H-Dreams: Bringing Real-Time Generative Simulation to Surgical Robotics

Anatomy of a Frontier Lab Agent Intrusion: A Technical Timeline of the July 2026 Incident

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

Initial research projects advance national priorities across natural resources, manufacturing, nuclear physics, and more.

Bringing Nunchaku 4-bit Diffusion Inference to Diffusers

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

Known for his clear and elegant writing style, Bertsekas shaped fields from control and optimization to large-scale computation and artificial intelligence.

Grabette: an open system to record robot-manipulation data

Newer Models, Same Advantage

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

Researchers developed an automated framework that helps AI models generate CAD programs more accurately and efficiently.

Security incident disclosure — July 2026

3 Questions: Neural transparency and the future of AI design

Assistant Professor Pat Pataranutaporn describes a new interface that lets everyday users glimpse inside an AI's neural network before their chatbot ever says a word.

Model Routing Is Simple. Until It Isn’t.

Welcome Inkling by Thinking Machines

Introducing Real World VoiceEQ: Measuring the human quality of voice AI

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

MIT students designed, built, and tested a jet engine with AI copilots, assessing AI’s usefulness in developing high-performance aerospace systems.

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

Researchers developed an auditing technique to test generative AI models for malicious capabilities, without prompting them for illegal outputs.

Profiling in PyTorch (Part 3): Attention is all you profile

Native-speed vLLM transformers modeling backend

From Hugging Face to Amazon SageMaker Studio in one click

Hugging Face Models on Foundry Managed Compute

Run AI workloads on any cloud, store on Hugging Face: zero-egress storage with SkyPilot

LeRobot v0.6.0: Imagine, Evaluate, Improve

PRX Part 4: Our Data Strategy

MIT in the media: Innovating and educating for the next 250 years of America

During a "Washington Post Live" panel discussion with ASU President Michael Crow, President Sally Kornbluth explored how universities are preparing the next generation of scientists to lead in America’s rapidly changing technological landscape.