Utilize AI to analyze application runtime data (e.g., rendering time, communication latency), obtain optimization suggestions (such as reducing component re-rendering, reusing hardware connections), ...

Abstract: Accurate and efficient modeling of lateral double-diffused MOS (LDMOS) devices is critical for process optimization and reliability analysis, especially under limited simulation budgets.

This study found that certain characteristics in linked electronic health record data across episodes of care can help identify patients with Alzheimer disease and related dementias at high risk of 30 ...

With the rising technological prowess and greater openness of Chinese models, the world is increasingly turning to the East for efficient and customizable AI, a new report finds.

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

Serving large generative models such as LLMs and multi-modal transformers requires balancing user-facing SLOs (e.g., time-to-first-token, time-between-tokens) with provider goals of efficiency and ...

Abstract: Due to high workload and often excessive working hours, team members in operating rooms perform surgical procedures under difficult conditions and often without sufficient breaks. Despite ...

1 Department of Nursing, Faculty of Health Sciences, Tarsus University, Mersin, Türkiye 2 Department of Fundamentals of Nursing, Faculty of Nursing, Hacettepe University, Ankara, Türkiye Background: ...

For the hundreds of communities who’ve been saddled with data centers in recent years, the bulky fixtures are sources of unbearable noise, soaring energy prices, and plenty of electrical fires. Add ...