We always enjoy [FloatHeadPhysics] explaining any math or physics topic. We don’t know if he’s acting or not, but he seems genuinely excited about every topic he covers, and it is ...

I've been self-hosting LLMs for quite a while now, and these are all of the things I learned over time that I wish I knew at ...

Low-rank tensor completion (LRTC) restores missing elements in multidimensional visual data; the challenge is representing the inherent structures within this data. Typical methods either suffer from ...

Since higher-order tensors are naturally suitable for representing multi-dimensional data in real-world, e.g., color images and videos, low-rank tensor representation has become one of the emerging ...

Jonathan chats with Joseph P. De Veaugh-Geiss about KDE’s eco initiative and the End of 10 campaign! Is Open Source really a win for environmentalism? How does the End of 10 ...

Artificial intelligence is infamous for its resource-heavy training, but a new study may have found a solution in a novel ...

Caltech scientists have found a fast and efficient way to add up large numbers of Feynman diagrams, the simple drawings ...

Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and ...

Setting up a Large Language Model (LLM) like Llama on your local machine allows for private, offline inference and experimentation.

近日，一位大牛 Thomas Cherickal，发表了一篇博客，阐述了一种新的编程范式。他认为，基于 MLIR 的 Mojo 无疑将取代基于 LLVM 的 CUDA，而且这种方式已经几乎可以在其他任何芯片上运行，包括谷歌TPU、AMD、英特尔以及任何定制的AI芯片！作者思路非常清晰，从市场竞争格局、硬件和软件的趋势变化两个角度，拆解了 CUDA 的优势和致命缺陷，并做出了论断：CUDA ...

A clever method from Caltech researchers now makes it possible to unravel complex electron-lattice interactions, potentially transforming how we understand and design quantum and electronic materials.