Overview: Top Python frameworks streamline the entire lifecycle of artificial intelligence projects from research to ...

Overview: In 2025, Java is expected to be a solid AI and machine-learning language.Best Java libraries for AI in 2025 can ease building neural networks, predict ...

Nvidia Corporation unveils a major CUDA update to counter Triton, boosting GPU programming and solidifying its AI software ...

TPUv7 offers a viable alternative to the GPU-centric AI stack has already arrived — one with real implications for the economics and architecture of frontier-scale training.

A research paper by scientists from Tianjin University proposed a novel solution for high-speed steady-state visually evoked ...

Recent advances in deep learning have promoted EEG decoding for BCI systems, but data sparsity—caused by high costs of EEG collection and ...

The $12K machine promises AI performance can scale to 32 chip servers and beyond but an immature software stack makes harnessing that compute challenging ...

Nvidia’s valuation relies heavily on CUDA, but new compiler technology from Spectral Compute could open the door to broader ...

Welcome to Alpine! We provide an easy and extensible way to rapidly prototype implicit neural representations or neural fields (INRs) in PyTorch. Alpine offers modular and object-oriented interfaces ...

complex_lib (cpl2) wraps native PyTorch complex numbers and provides some basic and popular operators, modules, networks, and loss functions. The development of this library has basically covered the ...

Not only has Google's Gemini 3 model been trained on the company's own TPUs, but I've been using a MacBook Pro with Apple's ...

This San Francisco-based graphics artist uses this new technology to see how famous paintings and cartoon characters would ...