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 ...

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

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 ...

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

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.

(2026) AI Assisted Material Selection Framework for Corrosion Resistant Steels in Onshore Oil and Gas Pipelines. Open Journal ...

Hidden inside the human body, scientists have uncovered thousands of bizarre RNA loops unlike anything in biology. These ...

An individual may become completely paralyzed because of any number of accidents that interfere with the functioning of the nerves in their body. People who have lost the ability to walk due to spinal ...