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 ...

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 ...

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

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 ...

Visualization of Cuda tensors with OpenGL Visualization of a PyTorch 2D tensor on Cuda device using OpenGL, without the need to transfer data to the CPU. The visualization is real-time, meaning that ...

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.

Say hello to DeepSeek-TNG R1T2 Chimera, a large language model built by German firm TNG Consulting, using three different ...

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.

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