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MIT News

• Making AI-generated code more accurate in any language
• Training LLMs to self-detoxify their language
• New method efficiently safeguards sensitive AI training data
• Could LLMs help design our next medicines and materials?
• A new way to bring personal items to mixed reality
• New method assesses and improves the reliability of radiologists’ diagnostic reports
• For this computer scientist, MIT Open Learning was the start of a life-changing journey
• MIT affiliates named 2024 AAAS Fellows
• A new way to make graphs more accessible to blind and low-vision readers
• At the core of problem-solving
• 3D printing approach strings together dynamic objects for you
• High-performance computing, with much less code
• Robotic helper making mistakes? Just nudge it in the right direction
• Letterlocking: A new look at a centuries-old practice
• MIT faculty, alumni named 2025 Sloan Research Fellows
• Like human brains, large language models reason about diverse data in a general way
• AI model deciphers the code in proteins that tells them where to go
• To keep hardware safe, cut out the code’s clues
• Creating a common language
• Validation technique could help scientists make more accurate forecasts
• Introducing the MIT Generative AI Impact Consortium
• User-friendly system can help developers build more efficient simulations and AI models
• 3 Questions: Modeling adversarial intelligence to exploit AI’s security vulnerabilities
• Toward video generative models of the molecular world
• Explained: Generative AI’s environmental impact
• Teaching AI to communicate sounds like humans do
• Images that transform through heat
• A new computational model can predict antibody structures more accurately
• Ecologists find computer vision models’ blind spots in retrieving wildlife images
• MIT affiliates receive 2025 IEEE honors
• MIT researchers introduce Boltz-1, a fully open-source model for predicting biomolecular structures
• Study reveals AI chatbots can detect race, but racial bias reduces response empathy
• Lara Ozkan named 2025 Marshall Scholar
• MIT affiliates named 2024 Schmidt Sciences AI2050 Fellows
• Teaching a robot its limits, to complete open-ended tasks safely
• AI in health should be regulated, but don’t forget about the algorithms, researchers say
• Researchers reduce bias in AI models while preserving or improving accuracy
• Daniela Rus wins John Scott Award
• Citation tool offers a new approach to trustworthy AI-generated content
• MIT delegation mainstreams biodiversity conservation at the UN Biodiversity Convention, COP16
• A new way to create realistic 3D shapes using generative AI
• Advancing urban tree monitoring with AI-powered digital twins
• Can robots learn from machine dreams?
• Four from MIT named 2025 Rhodes Scholars
• A portable light system that can digitize everyday objects
• MIT Schwarzman College of Computing launches postdoctoral program to advance AI across disciplines
• A faster, better way to train general-purpose robots
• Interactive mouthpiece advances opportunities for health data, assistive technology, and hands-free interactions
• Making it easier to verify an AI model’s responses
• Combining next-token prediction and video diffusion in computer vision and robotics
• New 3D printing technique creates unique objects quickly and with less waste
• Modeling relationships to solve complex problems efficiently
• How AI is improving simulations with smarter sampling techniques
• AI pareidolia: Can machines spot faces in inanimate objects?
• Enhancing LLM collaboration for smarter, more efficient solutions
• A fast and flexible approach to help doctors annotate medical scans
• Sam Madden named faculty head of computer science in EECS
• A framework for solving parabolic partial differential equations
• Toward a code-breaking quantum computer
• Duane Boning named vice provost for international activities
• AI assistant monitors teamwork to promote effective collaboration
• 3 Questions: How to prove humanity online
• LLMs develop their own understanding of reality as their language abilities improve
• Helping robots practice skills independently to adapt to unfamiliar environments
• Precision home robots learn with real-to-sim-to-real
• Study across multiple brain regions discerns Alzheimer’s vulnerability and resilience factors
• MIT researchers advance automated interpretability in AI models
• Creating and verifying stable AI-controlled systems in a rigorous and flexible way
• AI method radically speeds predictions of materials’ thermal properties
• Reasoning skills of large language models are often overestimated
• MIT researchers introduce generative AI for databases
• The tenured engineers of 2024
• Study reveals why AI models that analyze medical images can be biased
• Arvind, longtime MIT professor and prolific computer scientist, dies at 77
• Understanding the visual knowledge of language models
• Technique improves the reasoning capabilities of large language models
• Researchers use large language models to help robots navigate
• New algorithm discovers language just by watching videos
• Helping robots grasp the unpredictable
• A technique for more effective multipurpose robots
• Looking for a specific action in a video? This AI-based method can find it for you
• Controlled diffusion model can change material properties in images
• School of Engineering welcomes new faculty
• Robotic palm mimics human touch
• Janabel Xia: Algorithms, dance rhythms, and the drive to succeed
• Scientists use generative AI to answer complex questions in physics
• New tool empowers users to fight online misinformation
• Five MIT faculty elected to the National Academy of Sciences for 2024
• Using ideas from game theory to improve the reliability of language models
• A better way to control shape-shifting soft robots
• Exploring the mysterious alphabet of sperm whales
• Creating bespoke programming languages for efficient visual AI systems
• HPI-MIT design research collaboration creates powerful teams
• Three from MIT named 2024-25 Goldwater Scholars
• Natural language boosts LLM performance in coding, planning, and robotics
• Julie Shah named head of the Department of Aeronautics and Astronautics
• Study demonstrates efficacy of MIT-led Brave Behind Bars program
• Mapping the brain pathways of visual memorability
• To build a better AI helper, start by modeling the irrational behavior of humans
• For more open and equitable public discussions on social media, try “meronymity”