Tag
#School of Engineering
-
-
Researchers discover a shortcoming that makes LLMs less reliable
-
MIT scientists debut a generative AI model that could create molecules addressing hard-to-treat diseases
-
How artificial intelligence can help achieve a clean energy future
-
New AI agent learns to use CAD to create 3D objects from sketches
-
MIT Energy Initiative conference spotlights research priorities amidst a changing energy landscape
-
MIT Energy Initiative conference spotlights research priorities amidst a changing energy landscape
-
Understanding the nuances of human-like intelligence
-
Charting the future of AI, from safer answers to faster thinking
-
MIT researchers propose a new model for legible, modular software
-
Teaching robots to map large environments
-
3 Questions: How AI is helping us monitor and support vulnerable ecosystems
-
A faster problem-solving tool that guarantees feasibility
-
The brain power behind sustainable AI
-
Five with MIT ties elected to National Academy of Medicine for 2025
-
Creating AI that matters
-
New software designs eco-friendly clothing that can reassemble into new items
-
Method teaches generative AI models to locate personalized objects
-
Checking the quality of materials just got easier with a new AI tool
-
Helping scientists run complex data analyses without writing code
-
MIT Schwarzman College of Computing and MBZUAI launch international collaboration to shape the future of AI
-
Using generative AI to diversify virtual training grounds for robots
-
Fighting for the health of the planet with AI
-
Printable aluminum alloy sets strength records, may enable lighter aircraft parts
-
New prediction model could improve the reliability of fusion power plants
-
AI maps how a new antibiotic targets gut bacteria
-
Responding to the climate impact of generative AI
-
AI system learns from many types of scientific information and runs experiments to discover new materials
-
New AI system could accelerate clinical research
-
New tool makes generative AI models more likely to create breakthrough materials
-
How to build AI scaling laws for efficient LLM training and budget maximization
-
Machine-learning tool gives doctors a more detailed 3D picture of fetal health
-
DoE selects MIT to establish a Center for the Exascale Simulation of Coupled High-Enthalpy Fluid–Solid Interactions
-
AI and machine learning for engineering design
-
A greener way to 3D print stronger stuff
-
A new generative AI approach to predicting chemical reactions
-
3 Questions: The pros and cons of synthetic data in AI
-
3 Questions: On biology and medicine’s “data revolution”
-
MIT researchers develop AI tool to improve flu vaccine strain selection
-
A new model predicts how molecules will dissolve in different solvents
-
Researchers glimpse the inner workings of protein language models
-
How AI could speed the development of RNA vaccines and other RNA therapies
-
Using generative AI, researchers design compounds that can kill drug-resistant bacteria
-
A new way to test how well AI systems classify text
-
Eco-driving measures could significantly reduce vehicle emissions
-
Helping data storage keep up with the AI revolution
-
MIT tool visualizes and edits “physically impossible” objects
-
New algorithms enable efficient machine learning with symmetric data
-
Robot, know thyself: New vision-based system teaches machines to understand their bodies
-
A new way to edit or generate images
-
The unique, mathematical shortcuts language models use to predict dynamic scenarios
-
Model predicts long-term effects of nuclear waste on underground disposal systems
-
Can AI really code? Study maps the roadblocks to autonomous software engineering
-
How to more efficiently study complex treatment interactions
-
New AI system uncovers hidden cell subtypes, boosts precision medicine
-
AI shapes autonomous underwater “gliders”
-
Study could lead to LLMs that are better at complex reasoning
-
New postdoctoral fellowship program to accelerate innovation in health care
-
Robotic probe quickly measures key properties of new materials
-
Confronting the AI/energy conundrum
-
Using generative AI to help robots jump higher and land safely
-
MIT and Mass General Brigham launch joint seed program to accelerate innovations in health
-
Merging AI and underwater photography to reveal hidden ocean worlds
-
LLMs factor in unrelated information when recommending medical treatments
-
Unpacking the bias of large language models
-
Celebrating an academic-industry collaboration to advance vehicle technology
-
Photonic processor could streamline 6G wireless signal processing
-
Have a damaged painting? Restore it in just hours with an AI-generated “mask”
-
Inroads to personalized AI trip planning
-
AI-enabled control system helps autonomous drones stay on target in uncertain environments
-
Helping machines understand visual content with AI
-
Teaching AI models what they don’t know
-
AI stirs up the recipe for concrete in MIT study
-
Teaching AI models the broad strokes to sketch more like humans do
-
3 Questions: How to help students recognize potential bias in their AI datasets
-
Rationale engineering generates a compact new tool for gene therapy
-
An anomaly detection framework anyone can use
-
AI learns how vision and sound are connected, without human intervention
-
Learning how to predict rare kinds of failures
-
With AI, researchers predict the location of virtually any protein within a human cell
-
Study shows vision-language models can’t handle queries with negation words
-
Hybrid AI model crafts smooth, high-quality videos in seconds
-
New tool evaluates progress in reinforcement learning
-
Novel AI model inspired by neural dynamics from the brain
-
Making AI models more trustworthy for high-stakes settings
-
The MIT-Portugal Program enters Phase 4
-
Merging design and computer science in creative ways
-
Novel method detects microbial contamination in cell cultures
-
Designing a new way to optimize complex coordinated systems