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 ...

"Been using this product for 3 weeks and have noticed a difference in my jaw line and the skin that is heading south" ...

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

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 ...

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

A clever method from Caltech researchers now makes it possible to unravel complex electron-lattice interactions, potentially ...

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 ...

In a paper published in Nature Physics, the Caltech team uses its new method to precisely compute the strength of ...

LLaVA-Scissor provides a solution for compressing video tokens based on identifying semantic connected components. Previous methods mostly attempt to compress tokens based on attention scores, but ...

加州理工学院（Caltech）的科学家近日提出了一种快速高效的方法，能够精确加和大量费曼图谱（Feynman Diagrams）。费曼图谱是物理学家用来描述电子、光子及其他基本粒子相互作用的简化二维图示，每一个图谱均对应一个数学表达式，通过求和所有可能的图谱，科学家可以定量计算出粒子碰撞或散射的概率。（背景延伸：根据《自然》期刊报道，此方法在解决复杂微观相互作用问题上具有突破性意义。） ...