The advancement of artificial intelligence (AI) algorithms has opened new possibilities for the development of robots that ...

This session highlights Zero Access backup architecture and AI-driven automation designed to improve resilience and recovery confidence for federal IT teams. As cyber threats evolve, federal IT teams ...

Discover how econometricians use math and statistics to analyze and predict economic trends, serving in finance and academia ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Objective To analyse temporal trends of respiratory infectious diseases (RIDs) in Baiyin City from 2014 to 2023, aiming to explore the epidemiological patterns of these diseases (tuberculosis, scarlet ...

CMS plans to open applications in 2026 for a new payment model aimed at increasing access to technology-supported care for people with Original Medicare who are managing chronic conditions. Here are ...

Poisoning and manipulating the large language models (LLMs) that power AI agents and chatbots was previously considered a high-level hacking task and one that took a good amount of horsepower and ...

The aim of this non-interventional, case–control pilot study was to identify factors associated with cognitive impairment, dementia, and Alzheimer’s disease (AD) using a real-world dataset from ...

Abstract: Adaptive filtering algorithms play a crucial role in consumer electronic field. However, when faced with nonlinear scenarios involving censored measurement data, traditional algorithms often ...

The power of AI models has long been correlated with their size, with models growing to hundreds of billions or trillions of parameters. But very large models come with obvious trade-offs for ...