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2026 BAIR Graduate Showcase Congratulations to the Berkeley Artificial Intelligence Research (BAIR) Lab class of 2026! This...
1st Jul 2026
1

2026 BAIR Graduate Showcase

from The Berkeley Artificial Intelligence Research Blog [alt+shift+b] in AI

1st Jul 2026
Congratulations to the Berkeley Artificial Intelligence Research (BAIR) Lab class of 2026! This year, BAIR celebrates another remarkable group of Ph.D. graduates whose curiosity, creativity, and perseverance have pushed the frontiers of artificial intelligence and machine...
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Adaptive Parallel Reasoning: The Next Paradigm in Efficient Inference Scaling .apr-fig { text-align: center; margin: 1.35em 0; line-height: 1.4; } .apr-fig--wide img { display:...
8th May 2026
1

Adaptive Parallel Reasoning: The Next Paradigm in Efficient Inference Scaling

from The Berkeley Artificial Intelligence Research Blog [alt+shift+b] in AI

8th May 2026
.apr-fig { text-align: center; margin: 1.35em 0; line-height: 1.4; } .apr-fig--wide img { display: inline-block; width: 100%; max-width: 100%; height: auto; vertical-align: middle; } .apr-fig--wide-0-8 { max-width: 80%; margin-left: auto; margin-right: auto; } .apr-fig--tall img...
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Gradient-based Planning for World Models at Longer Horizons .grasp-results-table table { font-size: 0.875rem; line-height: 1.35; width: 100%;...
20th Apr 2026
1

Gradient-based Planning for World Models at Longer Horizons

from The Berkeley Artificial Intelligence Research Blog [alt+shift+b] in AI

20th Apr 2026
.grasp-results-table table { font-size: 0.875rem; line-height: 1.35; width: 100%; } .grasp-results-table th, .grasp-results-table td { padding: 0.35rem 0.5rem; } /* Consistent whitespace between major sections (this post is long and hr-heavy) */ article.post-content h2 { ...
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Identifying Interactions at Scale for LLMs --> Understanding the behavior of complex machine learning systems, particularly Large Language...
13th Mar 2026
1

Identifying Interactions at Scale for LLMs

from The Berkeley Artificial Intelligence Research Blog [alt+shift+b] in AI

13th Mar 2026
--> Understanding the behavior of complex machine learning systems, particularly Large Language Models (LLMs), is a critical challenge in modern artificial intelligence. Interpretability research aims to make the decision-making process more transparent to model builders and...
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Information-Driven Design of Imaging Systems An encoder (optical system) maps objects to noiseless images, which noise corrupts into...
10th Jan 2026
1

Information-Driven Design of Imaging Systems

from The Berkeley Artificial Intelligence Research Blog [alt+shift+b] in AI

10th Jan 2026
An encoder (optical system) maps objects to noiseless images, which noise corrupts into measurements. Our information estimator uses only these noisy measurements and a noise model to quantify how well measurements distinguish objects. Many imaging systems produce measurements...
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RL without TD learning In this post, I’ll introduce a reinforcement learning (RL) algorithm based on an “alternative”...
1st Nov 2025
2

RL without TD learning

from The Berkeley Artificial Intelligence Research Blog [alt+shift+b] in AI

1st Nov 2025
In this post, I’ll introduce a reinforcement learning (RL) algorithm based on an “alternative” paradigm: divide and conquer. Unlike traditional methods, this algorithm is not based on temporal difference (TD) learning (which has scalability challenges), and scales well to...
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What exactly does word2vec learn? What exactly does word2vec learn, and how? Answering this question amounts to understanding...
1st Sep 2025
2

What exactly does word2vec learn?

from The Berkeley Artificial Intelligence Research Blog [alt+shift+b] in AI

1st Sep 2025
What exactly does word2vec learn, and how? Answering this question amounts to understanding representation learning in a minimal yet interesting language modeling task. Despite the fact that word2vec is a well-known precursor to modern language models, for many years, researchers...
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Whole-Body Conditioned Egocentric Video Prediction .modal { display: none; position: fixed; z-index: 9999; padding-top: 50px; left: 0; top:...
1st Jul 2025
2

Whole-Body Conditioned Egocentric Video Prediction

from The Berkeley Artificial Intelligence Research Blog [alt+shift+b] in AI

1st Jul 2025
.modal { display: none; position: fixed; z-index: 9999; padding-top: 50px; left: 0; top: 0; width: 100%; height: 100%; overflow: auto; background-color: rgba(0,0,0,0.9); } .modal-content { margin: auto; display: block; max-width: 90%; max-height:...
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Repurposing Protein Folding Models for Generation with Latent Diffusion PLAID is a multimodal generative model that simultaneously generates protein 1D sequence and 3D...
8th Apr 2025
70

Repurposing Protein Folding Models for Generation with Latent Diffusion

from The Berkeley Artificial Intelligence Research Blog [alt+shift+b] in AI

8th Apr 2025
PLAID is a multimodal generative model that simultaneously generates protein 1D sequence and 3D structure, by learning the latent space of protein folding models. The awarding of the 2024 Nobel Prize to AlphaFold2 marks an important moment of recognition for the of AI role in...
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Scaling Up Reinforcement Learning for Traffic Smoothing: A 100-AV Highway Deployment Training Diffusion Models with Reinforcement Learning We deployed 100 reinforcement...
25th Mar 2025
76

Scaling Up Reinforcement Learning for Traffic Smoothing: A 100-AV Highway Deployment

from The Berkeley Artificial Intelligence Research Blog [alt+shift+b] in AI

25th Mar 2025
Training Diffusion Models with Reinforcement Learning We deployed 100 reinforcement learning (RL)-controlled cars into rush-hour highway traffic to smooth congestion and reduce fuel consumption for everyone. Our goal is to tackle "stop-and-go" waves, those...
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