In 2024, the “picks and shovels” in this AI gold rush are LLMs, GPTs and GPUs, each with a relentless demand from buyers.

Doctors treating ICU patients on ventilators face a constant challenge regarding nutrition. Now, an AI system can help.

If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is ...

Objective Medical devices account for approximately 6–10% of national health systems’ carbon footprints. The global use of single-use devices has increased, with implications for health systems’ ...

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

KIOXIA's AiSAQ open-source software opens the door to scalable AI by offloading data from DRAM to SSD storage, and it's now ...

Background One in seven households in England live in accommodation not meeting housing quality standards. Low-quality ...

An unsecured database exposed 4.3 billion LinkedIn-derived records, enabling large-scale phishing and identity-based attacks.

1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...

ManureDB, a publicly available database, houses U.S. manure and organic amendment data from multiple laboratory sources. The ...

Obsessing over model version matters less than workflow.