A new graph neural network framework evaluates dance training in real time and automatically adapts practice plans, achieving ...

AI startup Visko brought Orbis, its interactive, continuously streaming video world model, to production with TPUs in just 30 days.

Your laptop’s idle NPU can sort 100 gigabytes of family photos about 3 times faster than the CPU, without draining the ...

Modular is making a bold claim: that the AI industry's biggest bottleneck isn't silicon, but the software sitting on top of it. In a ...

Introduction A few years ago, I was solely responsible for an in-house demand forecasting model. The scores on the validation ...

Microsoft's experimental Windows ML update adds a path for running GGUF models. Official documentation and packages show no NPU support, limited generation controls, different distribution ...

I learned about an inference engine called FreeToken, which aims to run large MoE models locally without loading the entire model onto the GPU alone.The reason I was interested was because "Doesn't ...

A GPU kernel is the code that runs on the GPU when you call an operation like torch.matmul, as thousands of copies at once.

Agentic reinforcement learning research is constant algorithm modification. New estimators, new pipeline stages, new rollout schemes. In mainstream frameworks each change threads through layers of ...

In this tutorial, we build an end-to-end spatial graph learning pipeline using city2graph. We start by collecting real urban POI data and street network information from OpenStreetMap, with a ...

ABSTRACT: Psychiatric comorbidity in liaison psychiatry is not random noise, it follows structured, clinically meaningful patterns that standard episodic assessment cannot detect. Identifying these ...

A consolidated PyTorch math library for research at the intersection of differential geometry, spectral graph theory, computational topology, and mechanistic interpretability: the mathematics that ...