Sheffield United adviser granted preferred bidder status to buy Sheffield Wednesday

James Bord, a former poker player and current co-owner of Dunfermline, has consulted for Hillsborough club’s bitter rivals ...

AI model training needs are changing, with subject experts pushing aside generalist data labelers

HireArt's 2025 compensation report took a deep look at how much data annotators get paid. It's a fascinating window into how ...

How AI coding agents work—and what to remember if you use them

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
The Economist

Saudi Arabia wants to host the world’s cheapest data centres

Saudi Arabia is not only making data centres, it is also using them. ALLAM, an Arabic-language AI model built with the Saudi ...
Scientific American

Scientists Denounce Trump’s Plan to Kill Crucial Atmospheric Science Center

The U.S. government is dismantling the National Center for Atmospheric Research, jettisoning key climate science projects in ...
Microsoft

Director of Microsoft Research talks AI for science (what it really means)

I sat down with Dr. Chris Bishop, a Microsoft technical fellow and the director of Microsoft Research AI for Science, to sink into the details of what AI is actually unlocking for science, and what ...
The Punch Newspapers

AGEA honours King Model as Fashion Icon of the Year

Model and creative entrepreneur, King Isong, popularly known as King Model, has been named the African Global Most Outstanding Fashion Model Icon of the Year 2025 by the African Global Excellence ...
IEEE

A Novel Training Strategy for Deep Learning Model Compression Applied to Automatic Modulation Classification

Abstract: Deep learning techniques, such as deep neural networks (DNNs), have proven highly effective in addressing various automatic modulation classification challenges. However, their computational ...
Microsoft

LLM2CLIP: Powerful Language Model Unlocks Richer Visual Representation - Microsoft Research

CLIP is one of the most important multimodal foundational models today, aligning visual and textual signals into a shared feature space using a simple contrastive learning loss on large-scale ...
IEEE

Joint Dynamic Data and Model Parallelism for Distributed Training of DNNs Over Heterogeneous Infrastructure

Abstract: Distributed training of deep neural networks (DNNs) suffers from efficiency declines in dynamic heterogeneous environments, due to the resource wastage brought by the straggler problem in ...