It's cheap to copy already built models from their outputs, but likely still expensive to train new models that push the ...

Standardising analytical data is the key to unlocking AI-driven innovation in chemical and pharmaceutical research. Richard Lee, Director, Core Technology and Capabilities at ACD/Labs explores how ...

More efficient AI training approaches could reduce data center power requirements, make AI modelling more accessible and increase data storage and memory demand.

A small team of AI researchers from Stanford University and the University of Washington has found a way to train an AI ...

Nvidia’s AI GPUs have long been the standard for training large-language AI models in centralized data centers, thanks to ...

AI transformational impact is well under way. But as AI technologies develop, so too does their power consumption. Further ...

In the modern era, the Internet of Things (IoT) is transforming industries ranging from healthcare to transportation and ...

AI computing is becoming mainstream. GIGABYTE’s latest AI PCs are designed to meet diverse needs, not only keeping up with ...

This is a guest post for the Computer Weekly Developer Network written by Anand Kannappan, CEO and founder of model ...

Quantum computers could soon break today's strongest encryption, putting sensitive data at risk. Let's dive deep into what this all means for telecommunications, security, AI, and our future.

What did Meta Platforms CEO Mark Zuckerberg say and what does it mean for AI stocks like Nvidia? The post Mark Zuckerberg ...

Chinese artificial intelligence startup DeepSeek is making waves in the global tech industry with its innovative and ...