Tag
#Electrical engineering and computer science (EECS)
-
-
“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
-
Creating a common language
-
Validation technique could help scientists make more accurate forecasts
-
Streamlining data collection for improved salmon population management
-
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
-
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 researchers introduce Boltz-1, a fully open-source model for predicting biomolecular structures
-
Lara Ozkan named 2025 Marshall Scholar
-
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?
-
A causal theory for studying the cause-and-effect relationships of genes
-
A portable light system that can digitize everyday objects
-
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
-
How AI is improving simulations with smarter sampling techniques
-
AI pareidolia: Can machines spot faces in inanimate objects?
-
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