Archives des School of Engineering - Page 2 sur 2

3 Questions: How to help students recognize potential bias in their AI datasets
22 Déc
Rationale engineering generates a compact new tool for gene therapy
22 Déc
An anomaly detection framework anyone can use
22 Déc
AI learns how vision and sound are connected, without human intervention
22 Déc
Learning how to predict rare kinds of failures
22 Déc
The sweet taste of a new idea
22 Déc
With AI, researchers predict the location of virtually any protein within a human cell
22 Déc
Study shows vision-language models can’t handle queries with negation words
22 Déc
Hybrid AI model crafts smooth, high-quality videos in seconds
22 Déc
New tool evaluates progress in reinforcement learning
22 Déc
Novel AI model inspired by neural dynamics from the brain
22 Déc
Making AI models more trustworthy for high-stakes settings
22 Déc
The MIT-Portugal Program enters Phase 4
22 Déc
Merging design and computer science in creative ways
22 Déc
Novel method detects microbial contamination in cell cultures
22 Déc
Designing a new way to optimize complex coordinated systems
22 Déc
New model predicts a chemical reaction’s point of no return
22 Déc
“Periodic table of machine learning” could fuel AI discovery
22 Déc
3D modeling you can feel
22 Déc
Norma Kamali is transforming the future of fashion with AI
22 Déc
MIT’s McGovern Institute is shaping brain science and improving human lives on a global scale
22 Déc
Making AI-generated code more accurate in any language
22 Déc
A faster way to solve complex planning problems
22 Déc
Training LLMs to self-detoxify their language
22 Déc
New method efficiently safeguards sensitive AI training data
22 Déc
Could LLMs help design our next medicines and materials?
22 Déc
New method assesses and improves the reliability of radiologists’ diagnostic reports
22 Déc
Researchers teach LLMs to solve complex planning challenges
22 Déc
For this computer scientist, MIT Open Learning was the start of a life-changing journey
22 Déc
MIT Maritime Consortium sets sail
22 Déc
AI tool generates high-quality images faster than state-of-the-art approaches
22 Déc
At the core of problem-solving
22 Déc
Making airfield assessments automatic, remote, and safe
22 Déc
Robotic helper making mistakes? Just nudge it in the right direction
22 Déc
3 Questions: Visualizing research in the age of AI
22 Déc
Markus Buehler receives 2025 Washington Award
22 Déc
Collaborating to advance research and innovation on essential chips for AI
22 Déc
AI system predicts protein fragments that can bind to or inhibit a target
22 Déc
MIT spinout maps the body’s metabolites to uncover the hidden drivers of disease
22 Déc
Like human brains, large language models reason about diverse data in a general way
22 Déc
AI model deciphers the code in proteins that tells them where to go
22 Déc
Gift from Sebastian Man ’79, SM ’80 supports MIT Stephen A. Schwarzman College of Computing building
22 Déc
Puzzling out climate change
22 Déc
Can deep learning transform heart failure prevention?
22 Déc

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

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

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

MIT spinout maps the body’s metabolites to uncover the hidden drivers of disease

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?

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