The National Cyber Security Agency (NCSA) organised a training course for National Data Classification Policy and the National ...

Dietary assessment has long been a bottleneck in nutrition research and public health. Common tools such as food frequency questionnaires, 24-hour recalls, and weighed food records rely heavily on ...

For millions of people around the world, traditional medicine is the first place they turn when they are sick.

Overview: Cloud computing startups in 2025 are pushing boundaries with AI integration, automation, and developer-centric services.Many are building tools to opt ...

Safe and organized recordkeeping is essential for modern organizations managing sensitive, operational, or regulatory information. Records underpin business decisions, support compliance, and preserve ...

This article talks about how Large Language Models (LLMs) delve into their technical foundations, architectures, and uses in ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

The past 18 months have delivered a one-two punch for security teams. First came the explosive growth of generative AI projects that pump out sensitive data faster than legacy controls can tag it.

Ongoing malnutrition and the destruction of healthcare infrastructure in Gaza will require a coordinated and massive response ...

Competitions such as DareFightingICE demonstrate similar breakthroughs, where emotion-conditioned reinforcement learning has ...

Why Are Non-Human Identities Crucial in AI Security? Have you ever considered how closely your organization’s cybersecurity posture is tied to its management of Non-Human Identities (NHIs)? Where ...