Access: Setup our MCP servers in your LLM application in 2 clicks via our CLI tool (starting with Claude, see Roadmap for next steps). Publish: Use provided templates and guidelines to quickly ...

Whenever we mull over what film to watch on Netflix, or deliberate between different products on an e-commerce platform, the gears of recommendation algorithms spin under the hood. These systems sort ...

The Rocky Mountain Athletic Conference’s TV partner, the RMAC Network, is moving to a full-time pay-per-view model for the 2025-26 academic year, the league announced Wednesday. All athletic events ...

The global energy sector is undergoing a transformation, with the electric grid expanding to accommodate an increasing number of assets, including solar arrays, wind farms, batteries, electric ...

The JV’s initial data centre is set to open in Heiligenhaus near Essen. Credit: IR Stone/Shutterstock. HOCHTIEF PPP Solutions is set to establish the HOCHTIEF Data Center Partner in the UK to build a ...

Some users have encountered a perplexing issue when trying to download files from the Internet; the Task Manager showed 0% disk and network usage, and the download never started. Yet when accessing ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

A significant percentage of enterprise cloud network spending is wasted, due to preventable mistakes and manual processes, and the recent spike in AI deployments is adding to the problem. Enterprise ...

60 packages have been discovered in the NPM index that attempt to collect sensitive host and network data and send it to a Discord webhook controlled by the threat actor. According to Socket’s Threat ...

A new crowd-trained way to develop LLMs over the internet could shake up the AI industry with a giant 100 billion-parameter model later this year. Flower AI and Vana, two startups pursuing ...

Introduction: Drug development is a complex and lengthy process, and drug-disease association prediction aims to significantly improve research efficiency and success rates by precisely identifying ...