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1148 items on 08 Oct 2026
AI Research AI Python

AI Agents Beat PyTorch: Writing Faster CUDA Kernels

AI agents can now write CUDA kernels that outperform PyTorch—but proving those speedups are real is the harder problem. I put them to the test on an NVIDIA DGX Spark and found that benchmark design matters just as much…

Source: Towards Data Science Chien Vu Minh
AI Research AI Python

Your Model's MSE Is Lying to You III: Time Series Diffusion

A diffusion head for probabilistic time series forecasting: why a forecast can get the mean and the variance right and still describe a future that never happens, and how to fix it. The post Your Model's MSE Is Lying to…

Source: Towards Data Science Waleed Esmail

Haiku 5.5 Could Be Claude’s Most Practical Launch Yet

Claude’s smaller model has a timely opening: agents need affordable intelligence they can call repeatedly. Haiku 5.5 delivers lower rates, but reasoning effort, growing context, and completion quality determine the real…

Source: The Neuron AI Corey Noles
AI Research AI

Cross-Domain Pretraining for Steady-State Neural CFD Surrogates

arXiv:2610.10398v1 Announce Type: new Abstract: Neural surrogates for computational fluid dynamics (CFD) have the potential to greatly enhance engineering innovation through accelerating simulation. However, the primary…

Source: arXiv cs.LG Anthony Zhou, Amir Barati Farimani, Shirley Ho, Rudy Morel
AI Research AI

Multiparameter Uncertainty Mapping in Quantitative Molecular MRI using a Physics-Structured Variational Autoencoder (PS-VAE)

arXiv:2602.03317v2 Announce Type: replace-cross Abstract: Quantitative imaging methods, such as magnetic resonance fingerprinting (MRF), aim to extract interpretable pathology biomarkers by estimating biophysical tissue…

Source: arXiv cs.LG Alex Finkelstein, Ron Moneta, Or Zohar, Michal Rivlin, Moritz Zaiss, Dinora Friedmann Morvinski, Or Perlman
AI Research AI

Unbounded Characteristic and Universal Kernels

arXiv:2610.09731v1 Announce Type: cross Abstract: Kernel methods are among the most powerful tools in machine learning and statistics, with a large number of successful applications. Their immense success stems from the…

Source: arXiv cs.LG Jose Cribeiro-Ramallo, Florian Kalinke, Zolt\'an Szab\'o
AI Research AI

DisParQ: Self-Supervised Part Concepts for Interpretable Vision Foundation Models

arXiv:2610.09802v1 Announce Type: cross Abstract: Concept-based vision models represent images through an intermediate layer of human-inspectable concepts, so what a model relies on can be traced to those concepts.…

Source: arXiv cs.LG Adam Pardyl, Siddhartha Gairola, Sukrut Rao, Adam Wr\'obel, Bartosz Zieli\'nski, Bernt Schiele, Dawid Rymarczyk
AI Research AI

Shared Low-rank Basis Factorization for Data-free Mixture-of-Experts Compression

arXiv:2610.09342v1 Announce Type: new Abstract: Mixture-of-Experts (MoE) large language models decouple capacity from compute through sparse routing, but their large parameter count creates storage and serving…

Source: arXiv cs.LG Tianxiao Cao, Jiahe Shao, Yuning Qiu, Kyohei Atarashi, Hisashi Kashima, Qibin Zhao

1148 items available