AI 新闻
Has the New Cocaine Arrived?
Has the New Cocaine Arrived?
GPUs could explode to multiple TB with new storage-inspired memory tech
GPUs could explode to multiple TB with new storage-inspired memory tech
Generative AI floods and dilutes the market for books
Generative AI floods and dilutes the market for books
Sam Altman is still making the case for parenting via ChatGPT
Sam Altman is still making the case for parenting via ChatGPT
Artificial Intelligence: Ars Notoria and the Promise of Instant Knowledge
Artificial Intelligence: Ars Notoria and the Promise of Instant Knowledge
I don't recommend Tailwind CSS
I don't recommend Tailwind CSS
Show HN: Btfy – a blockchain that uses weather observations
Show HN: Btfy – a blockchain that uses weather observations
Running Kimi K3 on MI355X at Better Performance per Dollar Than B300
Running Kimi K3 on MI355X at Better Performance per Dollar Than B300
AI financial advice is surprisingly good, especially if you ask right questions
AI financial advice is surprisingly good, especially if you ask right questions
Drug reverses autism-like brain changes in adult mice within hours
Drug reverses autism-like brain changes in adult mice within hours
Explorative modeling: Train on the best of K guesses
Explorative modeling: Train on the best of K guesses
P[drive failure]: how reliable is your NAS?
P[drive failure]: how reliable is your NAS?
ReToken: One Token to Improve Vision-Language Models for Visual Retrieval
Long visual context poses a challenge for vision-language models: performance degrades as the number of distractors grows, and processing all tokens at once is computationally infeasible under GPU memory constraints. We present ReToken, a single learnable embedding trained as an explicit retrieval target that selects a sparse set of query-relevant visual tokens from a pre-filled visual KV cache. Trained on only a small image-QA dataset, ReToken yields consistent gains across image and video benc...
Learning to Trace Seiberg Dualities
Dualities play an important role in establishing both microscopic and emergent phenomena in a wide range of physical systems. In practice, though, it can often be computationally challenging to establish when two systems are dual, even when all of the "rules of the game" are well-known. Said differently, when confronted with two systems, how can one efficiently establish that they are in fact dual? In this paper we use machine learning methods to address this question for Seiberg dualities of su...
PAC-MAN: Perception-Aware CBF-RL for Whole-Body Safety in Humanoid Dodgeball
We present PAC-MAN, a perception-aware CBF-RL framework that couples control-barrier safety with deployment-realistic onboard sensing for whole-body humanoid dodgeball. The deployed policy sees the ball only as segmentation-masked depth from a head-mounted camera, while training-time CBF guidance represents clearance to every body link, and an adversarial motion prior regularizes the resulting evasive reflexes. We evaluate on a controlled any-link contact benchmark with seeded throws in two regi...