Tag
#Algorithms
-
-
Q&A: What is agentic AI today, and what do we want it to be?
-
3 Questions: Beyond data-driven aesthetics
-
LLMs help robots understand vague instructions and focus on key details
-
Improving the speed and energy-efficiency of AI agents
-
New chip could help tiny robots traverse complex environments
-
In game theory, generalists sometimes win out over specialists
-
Could AI tell you where you left your keys?
-
When it comes to predicting people’s preferences, it pays to consider “the power of three”
-
NSF renews support for MIT-led AI and physics institute, expanding a new model for discovery
-
Teaching AI agents to ask better questions by playing “Battleship”
-
Games people — and machines — play: Untangling strategic reasoning to advance AI
-
The MIT-IBM Computing Research Lab launches to shape the future of AI and quantum computing
-
A faster way to estimate AI power consumption
-
MIT scientists build the world’s largest collection of Olympiad-level math problems, and open it to everyone
-
Teaching AI models to say “I’m not sure”
-
Human-machine teaming dives underwater
-
New technique makes AI models leaner and faster while they’re still learning
-
Helping data centers deliver higher performance with less hardware
-
Evaluating the ethics of autonomous systems
-
AI system learns to keep warehouse robot traffic running smoothly
-
MIT-IBM Watson AI Lab seed to signal: Amplifying early-career faculty impact
-
3 Questions: On the future of AI and the mathematical and physical sciences
-
A better method for planning complex visual tasks
-
A “ChatGPT for spreadsheets” helps solve difficult engineering challenges faster
-
Featured video: Coding for underwater robotics
-
New method could increase LLM training efficiency
-
AI to help researchers see the bigger picture in cell biology
-
Exposing biases, moods, personalities, and abstract concepts hidden in large language models
-
Parking-aware navigation system could prevent frustration and emissions
-
AI algorithm enables tracking of vital white matter pathways
-
Helping AI agents search to get the best results out of large language models
-
3 Questions: How AI could optimize the power grid
-
Guided learning lets “untrainable” neural networks realize their potential
-
A new way to increase the capabilities of large language models
-
Working to eliminate barriers to adopting nuclear energy
-
Enabling small language models to solve complex reasoning tasks
-
A smarter way for large language models to think about hard problems
-
Charting the future of AI, from safer answers to faster thinking
-
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
-
Creating AI that matters
-
Method teaches generative AI models to locate personalized objects
-
Optimizing food subsidies: Applying digital platforms to maximize nutrition
-
Helping scientists run complex data analyses without writing code
-
Fighting for the health of the planet with AI
-
AI maps how a new antibiotic targets gut bacteria
-
Responding to the climate impact of generative AI
-
MIT affiliates win AI for Math grants to accelerate mathematical discovery
-
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
-
A new generative AI approach to predicting chemical reactions
-
3 Questions: The pros and cons of synthetic data in AI
-
MIT researchers develop AI tool to improve flu vaccine strain selection
-
Simpler models can outperform deep learning at climate prediction
-
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
-
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
-
Study could lead to LLMs that are better at complex reasoning
-
Robotic probe quickly measures key properties of new materials
-
Unpacking the bias of large language models
-
Inroads to personalized AI trip planning
-
AI-enabled control system helps autonomous drones stay on target in uncertain environments
-
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
-
New tool evaluates progress in reinforcement learning
-
Novel AI model inspired by neural dynamics from the brain
-
Designing a new way to optimize complex coordinated systems
-
“Periodic table of machine learning” could fuel AI discovery
-
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
-
Researchers teach LLMs to solve complex planning challenges