Category
Computer science and technology
-
-
MIT researchers develop AI tool to improve flu vaccine strain selection
-
A new model predicts how molecules will dissolve in different solvents
-
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
-
This “smart coach” helps LLMs switch between text and code
-
Can AI really code? Study maps the roadblocks to autonomous software engineering
-
How to more efficiently study complex treatment interactions
-
AI shapes autonomous underwater “gliders”
-
Study could lead to LLMs that are better at complex reasoning
-
Robotic probe quickly measures key properties of new materials
-
Using generative AI to help robots jump higher and land safely
-
LLMs factor in unrelated information when recommending medical treatments
-
Unpacking the bias of large language models
-
Photonic processor could streamline 6G wireless signal processing
-
Inroads to personalized AI trip planning
-
How we really judge AI
-
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
-
Teaching AI models the broad strokes to sketch more like humans do
-
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
-
Merging design and computer science in creative ways
-
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
-
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
-
Vana is letting users own a piece of the AI models trained on their data
-
Researchers teach LLMs to solve complex planning challenges
-
For this computer scientist, MIT Open Learning was the start of a life-changing journey
-
AI tool generates high-quality images faster than state-of-the-art approaches
-
At the core of problem-solving
-
“An AI future that honors dignity for everyone”
-
Robotic helper making mistakes? Just nudge it in the right direction
-
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
-
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
-
User-friendly system can help developers build more efficient simulations and AI models
-
With generative AI, MIT chemists quickly calculate 3D genomic structures
-
3 Questions: Modeling adversarial intelligence to exploit AI’s security vulnerabilities
-
New training approach could help AI agents perform better in uncertain conditions
-
Toward video generative models of the molecular world
-
Explained: Generative AI’s environmental impact
-
New computational chemistry techniques accelerate the prediction of molecules and materials
-
Q&A: The climate impact of generative AI
-
Teaching AI to communicate sounds like humans do
-
Ecologists find computer vision models’ blind spots in retrieving wildlife images
-
Need a research hypothesis? Ask AI.
-
MIT researchers introduce Boltz-1, a fully open-source model for predicting biomolecular structures
-
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