Forensic science has long held that fingerprints are singular identifiers, unique to each finger and each individual. This ...

Research reveals that knowledge distillation significantly compensates for sensor drift in electronic noses, improving ...

Abstract: Detecting advanced persistent threats (APTs) at a host via data provenance has emerged as a valuable yet challenging task. Compared with attack rule matching, machine learning approaches ...

AI-powered trading hasn’t yet reached an “iPhone moment,” when everyone is carrying around an algorithmic, reinforcement learning portfolio manager in their pocket, but something like that is coming, ...

Whatever happened to subtext? With regard to the Predator franchise, it seems weird to bring this up so late in the day, after six movies and two Alien tie-ins. But the question that bubbles up right ...

Every SOC leader knows the feeling: drowning in alerts, blind to the real threat, stuck playing defense in a war waged at the speed of AI. Now CrowdStrike and NVIDIA are flipping the script. Armed ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Cavo Health will be accurate and compliant on Day One. That’s a massive competitive advantage for payers and providers who can’t afford delays or inaccuracies in coding.” — George Witwer, CEO of Cavo ...

Artificial intelligence is everywhere, quietly shaping daily routines and decisions in ways many people overlook. This guide explores how powerful AI technologies influence your searches, your ...

Abstract: Out-of-distribution (OOD) detection presents a significant challenge in deploying pattern recognition and machine learning models, as they frequently fail to generalize to data from unseen ...