Intel's AI-related software has been getting better, but it's still not great.

This article is based on findings from a kernel-level GPU trace investigation performed on a real PyTorch issue (#154318) using eBPF uprobes. Trace databases are published in the Ingero open-source ...

Engineers from OLX reported that a single-line modification to dependency requirements allows developers to exclude unnecessary GPU libraries, shrinking contain ...

Overview NumPy and Pandas form the core of data science workflows. Matplotlib and Seaborn allow users to turn raw data into ...

Overview: Generative AI development now involves layered stacks combining training, orchestration, multimodal generation, and ...

A unified PyTorch library providing easy access to state-of-the-art Linear RNN architectures for sequence modeling. The technical report of this system was accepted to EACL Student Research Workshop ...

Google's TorchTPU aims to enhance TPU compatibility with PyTorch Google seeks to help AI developers reduce reliance on Nvidia's CUDA ecosystem TorchTPU initiative is part of Google's plan to attract ...

Student cognitive modeling is a fundamental task in the intelligence education field. It serves as the basis for various downstream applications, such as personalized educational content ...

Institute of Physics, Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University, Grudziądzka 5, 87-100 Toruń, Poland ...