Pulsetto Bilateral Cervical Neuromodulation Device Evaluation: Session Duration, General Wellness Positioning, User-Reported Experience Patterns, and Drug-Free Stress Support Use Case Documentation ...
Our goal was to show the effectiveness and practicality of large language models (LLMs) in assessing the distribution of health care resources. Methods: We used aspect-based sentiment analysis (ABSA), ...
Tolion Health AI Appoints Global Health & AI Leader Gregory J. Moore, MD, PhD, to Board of Directors
Tolion Health AI, a digital health company developing artificial intelligence solutions for personalized, predictive, and ...
We propose FreeDave (Free Draft-and-Verification), a fast sampling algorithm for diffusion language models, which achieves lossless parallel decoding via a pipeline of parallel-decoded candidate ...
Abstract: This paper presents LYRICEL, a framework integrating Knowledge Graph (KG) representation learning, Large Language Models (LLMs), and machine learning for reliable, explainable, and ...
The room we are in is locked. It is windowless and lit from above by a fluorescent bulb. In the hallway outside—two stories beneath the city of London—attendants in dark suits patrol silently, giving ...
Below is Validea's guru fundamental report for EXPEDIA GROUP INC (EXPE). Of the 22 guru strategies we follow, EXPE rates highest using our Growth Investor model based on the published strategy of ...
Psycholinguistic analysis, structural equation modeling (SEM), and multiple regression models were used to examine the mediation of these three conceptual factors, as well as the moderating effects of ...
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Meta just achieved mind-reading using AI
This video covers two breakthroughs that push “mind reading” from fiction into early reality: UT Austin decoding language from brain activity, and Meta decoding visual perception from brain waves. At ...
Abstract: Mood disorders, including major depressive disorder and anxiety disorders, represent global mental health challenges characterized by high comorbidity and diagnostic complexity. Current ...
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