All kinds of assets rallied today, even the small ones. The Russell 2000 index, a gauge of small-caps, jumped 1.8% to reach its highest level for this year. The S&P 500, which tracks larger stocks, ...

Following multiple requests from readers, the Herald is releasing the full dataset of purchases made by state agencies using their procurement cards, or P-Cards, as provided by the state comptroller’s ...

SCDL seems to me to have two parts: a format for efficient access to row-wise data, and a PyTorch Dataset derivative. The former has many uses beyond PyTorch and the project I work on explicitly tries ...

Hugging Face has just released AI Sheets, a free, open-source, and local-first no-code tool designed to radically simplify dataset creation and enrichment with AI. AI Sheets aims to democratize access ...

NASCAR's Cup qualifying was rained out Saturday, as was practice. So NASCAR turned to its data center and whipped out the "metrics" to set the lineup for Sunday's race. Chase Elliott and Chase Briscoe ...

Money could be coming the way of some AT&T users through a significant settlement that stemmed from lawsuits about a pair of data breaches the company experienced. The settlement that AT&T reached, ...

Ever since artificial intelligence (AI) drug developer Xaira Therapeutics launched in April 2024 with a jaw-dropping $1 billion in committed capital and a star-studded leadership lineup—including ...

Abstract: Training deep learning models is computationally demanding and data-intensive. Existing approaches utilize local SSDs within training servers to cache datasets, thereby accelerating data ...

My custom PyTorch Dataset receives a 3D tensor (these tensors have various shapes). It applies Gaussian blur preprocessing on the CPU. It returns the processed tensor. To speed up processing, I want ...