Archives des MIT Schwarzman College of Computing - Page 2 sur 2

Eco-driving measures could significantly reduce vehicle emissions
20 Juin
MIT tool visualizes and edits “physically impossible” objects
20 Juin
New algorithms enable efficient machine learning with symmetric data
20 Juin
Robot, know thyself: New vision-based system teaches machines to understand their bodies
20 Juin
A new way to edit or generate images
20 Juin
The unique, mathematical shortcuts language models use to predict dynamic scenarios
20 Juin
Can AI really code? Study maps the roadblocks to autonomous software engineering
20 Juin
How to more efficiently study complex treatment interactions
20 Juin
Changing the conversation in health care
20 Juin
AI shapes autonomous underwater “gliders”
20 Juin
Study could lead to LLMs that are better at complex reasoning
20 Juin
Using generative AI to help robots jump higher and land safely
20 Juin
LLMs factor in unrelated information when recommending medical treatments
20 Juin
Researchers present bold ideas for AI at MIT Generative AI Impact Consortium kickoff event
20 Juin
Unpacking the bias of large language models
20 Juin
A sounding board for strengthening the student experience
20 Juin
Bringing meaning into technology deployment
20 Juin
Photonic processor could streamline 6G wireless signal processing
20 Juin
Inroads to personalized AI trip planning
20 Juin
Melding data, systems, and society
20 Juin
AI-enabled control system helps autonomous drones stay on target in uncertain environments
20 Juin
Envisioning a future where health care tech leaves some behind
20 Juin
Teaching AI models what they don’t know
20 Juin
Teaching AI models the broad strokes to sketch more like humans do
20 Juin
An anomaly detection framework anyone can use
20 Juin
Building networks of data science talent
20 Juin
AI learns how vision and sound are connected, without human intervention
20 Juin
Learning how to predict rare kinds of failures
20 Juin
The sweet taste of a new idea
20 Juin
With AI, researchers predict the location of virtually any protein within a human cell
20 Juin
Study shows vision-language models can’t handle queries with negation words
20 Juin
MIT Department of Economics to launch James M. and Cathleen D. Stone Center on Inequality and Shaping the Future of Work
20 Juin
Hybrid AI model crafts smooth, high-quality videos in seconds
20 Juin
New tool evaluates progress in reinforcement learning
20 Juin
Novel AI model inspired by neural dynamics from the brain
20 Juin
Making AI models more trustworthy for high-stakes settings
20 Juin
The MIT-Portugal Program enters Phase 4
20 Juin
Merging design and computer science in creative ways
20 Juin
Designing a new way to optimize complex coordinated systems
20 Juin
“Periodic table of machine learning” could fuel AI discovery
20 Juin
3D modeling you can feel
20 Juin
MIT’s McGovern Institute is shaping brain science and improving human lives on a global scale
20 Juin
Making AI-generated code more accurate in any language
20 Juin
A faster way to solve complex planning problems
20 Juin
Training LLMs to self-detoxify their language
20 Juin
New method efficiently safeguards sensitive AI training data
20 Juin
Could LLMs help design our next medicines and materials?
20 Juin
New method assesses and improves the reliability of radiologists’ diagnostic reports
20 Juin
Researchers teach LLMs to solve complex planning challenges
20 Juin
For this computer scientist, MIT Open Learning was the start of a life-changing journey
20 Juin
MIT Maritime Consortium sets sail
20 Juin

Eco-driving measures could significantly reduce vehicle emissions

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

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

How to more efficiently study complex treatment interactions

Changing the conversation in health care

AI shapes autonomous underwater “gliders”

Study could lead to LLMs that are better at complex reasoning

Using generative AI to help robots jump higher and land safely

LLMs factor in unrelated information when recommending medical treatments

Researchers present bold ideas for AI at MIT Generative AI Impact Consortium kickoff event

Unpacking the bias of large language models

A sounding board for strengthening the student experience

Bringing meaning into technology deployment

Photonic processor could streamline 6G wireless signal processing

Inroads to personalized AI trip planning

Melding data, systems, and society

AI-enabled control system helps autonomous drones stay on target in uncertain environments

Envisioning a future where health care tech leaves some behind

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

Building networks of data science talent

AI learns how vision and sound are connected, without human intervention

Learning how to predict rare kinds of failures

The sweet taste of a new idea

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

MIT Department of Economics to launch James M. and Cathleen D. Stone Center on Inequality and Shaping the Future of Work

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

Designing a new way to optimize complex coordinated systems

“Periodic table of machine learning” could fuel AI discovery

3D modeling you can feel

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

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