Tag
#School of Engineering
-
-
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
-
MIT and Mass General Brigham launch joint seed program to accelerate innovations in health
-
Using generative AI to help robots jump higher and land safely
-
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
-
New model predicts a chemical reaction’s point of no return
-
“Periodic table of machine learning” could fuel AI discovery
-
3D modeling you can feel
-
Norma Kamali is transforming the future of fashion with AI
-
MIT’s McGovern Institute is shaping brain science and improving human lives on a global scale
-
Making AI-generated code more accurate in any language
-
A faster way to solve complex planning problems
-
Training LLMs to self-detoxify their language
-
New method efficiently safeguards sensitive AI training data
-
Could LLMs help design our next medicines and materials?
-
New method assesses and improves the reliability of radiologists’ diagnostic reports
-
Researchers teach LLMs to solve complex planning challenges
-
For this computer scientist, MIT Open Learning was the start of a life-changing journey
-
MIT Maritime Consortium sets sail
-
AI tool generates high-quality images faster than state-of-the-art approaches
-
At the core of problem-solving
-
Making airfield assessments automatic, remote, and safe
-
Robotic helper making mistakes? Just nudge it in the right direction
-
3 Questions: Visualizing research in the age of AI
-
Markus Buehler receives 2025 Washington Award
-
Collaborating to advance research and innovation on essential chips for AI
-
AI system predicts protein fragments that can bind to or inhibit a target
-
Like human brains, large language models reason about diverse data in a general way
-
MIT spinout maps the body’s metabolites to uncover the hidden drivers of disease
-
AI model deciphers the code in proteins that tells them where to go
-
Gift from Sebastian Man ’79, SM ’80 supports MIT Stephen A. Schwarzman College of Computing building
-
Puzzling out climate change
-
Can deep learning transform heart failure prevention?
-
Creating a common language
-
Validation technique could help scientists make more accurate forecasts
-
Streamlining data collection for improved salmon population management
-
3 Questions: Modeling adversarial intelligence to exploit AI’s security vulnerabilities
-
MIT students’ works redefine human-AI collaboration
-
Expanding robot perception
-
Toward video generative models of the molecular world
-
The multifaceted challenge of powering AI
-
Explained: Generative AI’s environmental impact
-
New computational chemistry techniques accelerate the prediction of molecules and materials
-
Teaching AI to communicate sounds like humans do
-
A new computational model can predict antibody structures more accurately
-
Unlocking the hidden power of boiling — for energy, space, and beyond
-
Ecologists find computer vision models’ blind spots in retrieving wildlife images
-
Startup’s autonomous drones precisely track warehouse inventories
-
Need a research hypothesis? Ask AI.
-
MIT engineers grow “high-rise” 3D chips
-
When MIT’s interdisciplinary NEET program is a perfect fit
-
MIT researchers introduce Boltz-1, a fully open-source model for predicting biomolecular structures
-
Lara Ozkan named 2025 Marshall Scholar
-
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