Archives des National Science Foundation (NSF)

Solving the “Whac-a-mole dilemma”: A smarter way to debias AI vision models
13 Mai
MIT scientists build the world’s largest collection of Olympiad-level math problems, and open it to everyone
13 Mai
Helping data centers deliver higher performance with less hardware
13 Mai
MIT researchers use AI to uncover atomic defects in materials
13 Mai
Augmenting citizen science with computer vision for fish monitoring
13 Mai
Generative AI improves a wireless vision system that sees through obstructions
13 Mai
3 Questions: On the future of AI and the mathematical and physical sciences
13 Mai
New method could increase LLM training efficiency
13 Mai
Parking-aware navigation system could prevent frustration and emissions
13 Mai
Study: Platforms that rank the latest LLMs can be unreliable
13 Mai
How generative AI can help scientists synthesize complex materials
13 Mai
MIT scientists investigate memorization risk in the age of clinical AI
13 Mai
Guided learning lets “untrainable” neural networks realize their potential
13 Mai
Enabling small language models to solve complex reasoning tasks
13 Mai
New method improves the reliability of statistical estimations
13 Mai
MIT engineers design an aerial microrobot that can fly as fast as a bumblebee
13 Mai
Researchers discover a shortcoming that makes LLMs less reliable
13 Mai
Teaching robots to map large environments
13 Mai
3 Questions: How AI is helping us monitor and support vulnerable ecosystems
13 Mai
Improving the workplace of the future
13 Mai
New tool makes generative AI models more likely to create breakthrough materials
13 Mai
A new generative AI approach to predicting chemical reactions
13 Mai
MIT tool visualizes and edits “physically impossible” objects
13 Mai
New algorithms enable efficient machine learning with symmetric data
13 Mai
The unique, mathematical shortcuts language models use to predict dynamic scenarios
13 Mai
Can AI really code? Study maps the roadblocks to autonomous software engineering
13 Mai
Study could lead to LLMs that are better at complex reasoning
13 Mai
Robotic probe quickly measures key properties of new materials
13 Mai
Unpacking the bias of large language models
13 Mai
Photonic processor could streamline 6G wireless signal processing
13 Mai
With AI, researchers predict the location of virtually any protein within a human cell
13 Mai
New model predicts a chemical reaction’s point of no return
13 Mai
“Periodic table of machine learning” could fuel AI discovery
13 Mai
Training LLMs to self-detoxify their language
13 Mai
Could LLMs help design our next medicines and materials?
13 Mai

Solving the “Whac-a-mole dilemma”: A smarter way to debias AI vision models

MIT scientists build the world’s largest collection of Olympiad-level math problems, and open it to everyone

Helping data centers deliver higher performance with less hardware

MIT researchers use AI to uncover atomic defects in materials

Augmenting citizen science with computer vision for fish monitoring

Generative AI improves a wireless vision system that sees through obstructions

3 Questions: On the future of AI and the mathematical and physical sciences

New method could increase LLM training efficiency

Parking-aware navigation system could prevent frustration and emissions

Study: Platforms that rank the latest LLMs can be unreliable

How generative AI can help scientists synthesize complex materials

MIT scientists investigate memorization risk in the age of clinical AI

Guided learning lets “untrainable” neural networks realize their potential

Enabling small language models to solve complex reasoning tasks

New method improves the reliability of statistical estimations

MIT engineers design an aerial microrobot that can fly as fast as a bumblebee

Researchers discover a shortcoming that makes LLMs less reliable

Teaching robots to map large environments

3 Questions: How AI is helping us monitor and support vulnerable ecosystems

Improving the workplace of the future

New tool makes generative AI models more likely to create breakthrough materials

A new generative AI approach to predicting chemical reactions

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

Can AI really code? Study maps the roadblocks to autonomous software engineering

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

Photonic processor could streamline 6G wireless signal processing

With AI, researchers predict the location of virtually any protein within a human cell

New model predicts a chemical reaction’s point of no return

“Periodic table of machine learning” could fuel AI discovery

Training LLMs to self-detoxify their language

Could LLMs help design our next medicines and materials?