Strong data quality checks reduce bias, drift and inconsistencies that can distort analytics and AI outcomes before datasets ...

Cyber readiness reporting shouldn't be treated as a “compliance drill,” but rather a tool the services can use to advocate for resources, Matthew Eisner said.

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I rely on data for clarity and risk transparency, but instinct shapes how I interpret it. My approach combines analytical ...

Labeling adversary activity with ATT&CK techniques is a tried-and-true method for classifying behavior. But it rarely tells defenders how those behaviors are executed in real environments.

The danger isn’t that AI misleads us. It’s that it makes us less willing to challenge ourselves. When a model praises our ...

While everyone agrees on the ethical imperative to reduce animal use, the challenge of widespread readiness will depend on partnership, proof, and continued development activities. Public perception ...

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

Researchers have developed the first scientifically validated "personality test" framework for popular AI chatbots, and have ...

Wearables may support patient engagement, but validated cuff-based blood pressure measurement remains the clinical standard,’ said Gerald J. Jerome, PhD.

Srinubabu Kilaru said Bringing version control and CI/CD into data pipelines changed how quickly we could respond to policy ...