Archives des Electrical engineering and computer science (EECS)

For this computer scientist, MIT Open Learning was the start of a life-changing journey
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AI tool generates high-quality images faster than state-of-the-art approaches
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Robotic helper making mistakes? Just nudge it in the right direction
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Collaborating to advance research and innovation on essential chips for AI
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Like human brains, large language models reason about diverse data in a general way
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AI model deciphers the code in proteins that tells them where to go
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Bridging philosophy and AI to explore computing ethics
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Creating a common language
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Validation technique could help scientists make more accurate forecasts
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Streamlining data collection for improved salmon population management
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Aligning AI with human values
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Introducing the MIT Generative AI Impact Consortium
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User-friendly system can help developers build more efficient simulations and AI models
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3 Questions: Modeling adversarial intelligence to exploit AI’s security vulnerabilities
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Toward video generative models of the molecular world
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Explained: Generative AI’s environmental impact
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Algorithms and AI for a better world
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Algorithms and AI for a better world
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Making the art world more accessible
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Teaching AI to communicate sounds like humans do
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A new computational model can predict antibody structures more accurately
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Ecologists find computer vision models’ blind spots in retrieving wildlife images
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MIT welcomes Frida Polli as its next visiting innovation scholar
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MIT researchers introduce Boltz-1, a fully open-source model for predicting biomolecular structures
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Study reveals AI chatbots can detect race, but racial bias reduces response empathy
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Lara Ozkan named 2025 Marshall Scholar
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MIT affiliates named 2024 Schmidt Futures AI2050 Fellows
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Teaching a robot its limits, to complete open-ended tasks safely
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AI in health should be regulated, but don’t forget about the algorithms, researchers say
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Researchers reduce bias in AI models while preserving or improving accuracy
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Enabling AI to explain its predictions in plain language
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Daniela Rus wins John Scott Award
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Citation tool offers a new approach to trustworthy AI-generated content
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MIT delegation mainstreams biodiversity conservation at the UN Biodiversity Convention, COP16
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A new way to create realistic 3D shapes using generative AI
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Photonic processor could enable ultrafast AI computations with extreme energy efficiency
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Improving health, one machine learning system at a time
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Advancing urban tree monitoring with AI-powered digital twins
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Can robots learn from machine dreams?
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Four from MIT named 2025 Rhodes Scholars
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A causal theory for studying the cause-and-effect relationships of genes
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A portable light system that can digitize everyday objects
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Despite its impressive output, generative AI doesn’t have a coherent understanding of the world
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Empowering systemic racism research at MIT and beyond
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Nanoscale transistors could enable more efficient electronics
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A faster, better way to train general-purpose robots
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Making it easier to verify an AI model’s responses
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Combining next-token prediction and video diffusion in computer vision and robotics
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Modeling relationships to solve complex problems efficiently
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How AI is improving simulations with smarter sampling techniques
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AI pareidolia: Can machines spot faces in inanimate objects?
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MIT launches new Music Technology and Computation Graduate Program
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New security protocol shields data from attackers during cloud-based computation
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3 Questions: Should we label AI systems like we do prescription drugs?
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Accelerating particle size distribution estimation
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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

Creating a common language

Validation technique could help scientists make more accurate forecasts

Streamlining data collection for improved salmon population management

Aligning AI with human values

Introducing the MIT Generative AI Impact Consortium

User-friendly system can help developers build more efficient simulations and AI models

3 Questions: Modeling adversarial intelligence to exploit AI’s security vulnerabilities

Toward video generative models of the molecular world

Explained: Generative AI’s environmental impact

Algorithms and AI for a better world

Algorithms and AI for a better world

Making the art world more accessible

Teaching AI to communicate sounds like humans do

A new computational model can predict antibody structures more accurately

Ecologists find computer vision models’ blind spots in retrieving wildlife images

MIT welcomes Frida Polli as its next visiting innovation scholar

MIT researchers introduce Boltz-1, a fully open-source model for predicting biomolecular structures

Study reveals AI chatbots can detect race, but racial bias reduces response empathy

Lara Ozkan named 2025 Marshall Scholar

MIT affiliates named 2024 Schmidt Futures AI2050 Fellows

Teaching a robot its limits, to complete open-ended tasks safely

AI in health should be regulated, but don’t forget about the algorithms, researchers say

Researchers reduce bias in AI models while preserving or improving accuracy

Enabling AI to explain its predictions in plain language

Daniela Rus wins John Scott Award

Citation tool offers a new approach to trustworthy AI-generated content

MIT delegation mainstreams biodiversity conservation at the UN Biodiversity Convention, COP16

A new way to create realistic 3D shapes using generative AI

Photonic processor could enable ultrafast AI computations with extreme energy efficiency

Improving health, one machine learning system at a time

Advancing urban tree monitoring with AI-powered digital twins

Can robots learn from machine dreams?

Four from MIT named 2025 Rhodes Scholars

A causal theory for studying the cause-and-effect relationships of genes

A portable light system that can digitize everyday objects

Despite its impressive output, generative AI doesn’t have a coherent understanding of the world

Empowering systemic racism research at MIT and beyond

Nanoscale transistors could enable more efficient electronics

A faster, better way to train general-purpose robots

Making it easier to verify an AI model’s responses

Combining next-token prediction and video diffusion in computer vision and robotics

Modeling relationships to solve complex problems efficiently

How AI is improving simulations with smarter sampling techniques

AI pareidolia: Can machines spot faces in inanimate objects?

MIT launches new Music Technology and Computation Graduate Program

New security protocol shields data from attackers during cloud-based computation

3 Questions: Should we label AI systems like we do prescription drugs?

Accelerating particle size distribution estimation