Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...

Transparency is another priority. Given the decentralized and trust-based nature of Web3.0, the expert emphasizes ...

Penn State researchers have developed a new artificial intelligence framework with potential implications for fields ranging from Alzheimer’s disease research to advanced materials design. The ...

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 ...

Post Doc Fellow: AI and Data Systems in Nuclear/Particle Physics, Stellenbosch University In most industries, maintenance is a waiting game. Things are fixed when they break. But in the 21st century, ...

TAHLEQUAH, Okla. — Law enforcement in Oklahoma are calling it a complete game changer — technology that can process DNA evidence from crime scenes in just 90 minutes. The Oklahoma State Bureau of ...

Dario Amodei, the C.E.O. of the artificial-intelligence company Anthropic, has been predicting that an A.I. “smarter than a Nobel Prize winner” in such fields as biology, math, engineering, and ...

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: Accurately predicting individual responses to antidepressant treatment is a critical step toward achieving personalized psychiatry and minimizing the ...

A new study from Arizona State University researchers suggests that the celebrated "Chain-of-Thought" (CoT) reasoning in Large Language Models (LLMs) may be more of a "brittle mirage" than genuine ...

Purpose: To develop effective machine learning models that analyze pattern visual evoked potentials (PVEPs) to predict the stabilized visual acuity (VA) of patients with treated ocular trauma. Methods ...