Archives des Electrical engineering and computer science (EECS) - Page 2 sur 2

Teaching AI models the broad strokes to sketch more like humans do
13 Avr
An anomaly detection framework anyone can use
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AI learns how vision and sound are connected, without human intervention
13 Avr
The sweet taste of a new idea
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With AI, researchers predict the location of virtually any protein within a human cell
13 Avr
Study shows vision-language models can’t handle queries with negation words
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Hybrid AI model crafts smooth, high-quality videos in seconds
13 Avr
Novel AI model inspired by neural dynamics from the brain
13 Avr
Making AI models more trustworthy for high-stakes settings
13 Avr
The MIT-Portugal Program enters Phase 4
13 Avr
Merging design and computer science in creative ways
13 Avr
Novel method detects microbial contamination in cell cultures
13 Avr
“Periodic table of machine learning” could fuel AI discovery
13 Avr
3D modeling you can feel
13 Avr
MIT’s McGovern Institute is shaping brain science and improving human lives on a global scale
13 Avr
Making AI-generated code more accurate in any language
13 Avr
Training LLMs to self-detoxify their language
13 Avr
New method efficiently safeguards sensitive AI training data
13 Avr
Could LLMs help design our next medicines and materials?
13 Avr
New method assesses and improves the reliability of radiologists’ diagnostic reports
13 Avr
For this computer scientist, MIT Open Learning was the start of a life-changing journey
13 Avr
AI tool generates high-quality images faster than state-of-the-art approaches
13 Avr
Robotic helper making mistakes? Just nudge it in the right direction
13 Avr
Collaborating to advance research and innovation on essential chips for AI
13 Avr
Like human brains, large language models reason about diverse data in a general way
13 Avr
AI model deciphers the code in proteins that tells them where to go
13 Avr
Bridging philosophy and AI to explore computing ethics
13 Avr

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#Electrical engineering and computer science (EECS)

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

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

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

“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

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

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

Robotic helper making mistakes? Just nudge it in the right direction

Collaborating to advance research and innovation on essential chips for AI

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

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

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

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

“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

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

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

Robotic helper making mistakes? Just nudge it in the right direction

Collaborating to advance research and innovation on essential chips for AI

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

Bridging philosophy and AI to explore computing ethics

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