Are Organizations Prepared for the Challenges of Non-Human Identities? Understanding Non-Human Identities in Cybersecurity How do organizations safeguard their machine identities? One emerging focus ...

What Are Non-Human Identities and Why Do They Matter in Complex Enterprise Environments? Where digital transformation accelerates work processes, the concept of Non-Human Identities (NHIs) becomes ...

To fully harness AI’s potential, KRA should pair its internal modernisation efforts with selective adoption of proven ...

Researchers have identified cancer-specific RNAs and employed machine learning models to use them as a blood-based biomarker ...

Although there’s broad agreement that AI demands high-quality, well-governed data, the research indicates that AI inference ...

Scientists found 6 subgroups of prediabetes based on liver fat and metabolic risk to predict future type 2 diabetes and kidney disease risk.

Scientists from several partner institutes of the German Center for Diabetes Research (DZD)* have now used artificial intelligence (AI) to identify epigenetic markers that indicate an elevated risk of ...

We often think of ourselves as more capable than we really are. For example, according to this survey, four in five Americans ...

Google researchers have revealed that memory and interconnect are the primary bottlenecks for LLM inference, not compute power, as memory bandwidth lags 4.7x behind.

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...