Most of today’s operational models were built for stability and predictability. Agentic AI doesn’t play by those rules.

The data center as we know it is being reimagined as an “AI factory” – a power- and data-optimized plant that turns energy ...

This study offers a valuable methodological advance by introducing a gene panel selection approach that captures combinatorial specificity to define cell identity. The findings address key limitations ...

In order to increase the dependability of quantum calculations, study explores the use of Shor’s algorithm in a noisy quantum ...

Introduction Stress is a major health issue in contemporary society, and mindfulness-based approaches reduce stress and anxiety but face practical barriers to consistent practice; this protocol ...

Rudeness at work is rampant, and it’s on the rise. Over the past 14 years we’ve polled thousands of workers about how they’re treated on the job, and 98% have reported experiencing uncivil behavior.

The new method developed by UC San Diego engineers takes a smarter approach. Instead of retraining an entire model from ...

Abstract: Computer vision techniques have significantly advanced autonomous driving but still face specific challenges in complex environments, such as accurately detecting small, occluded, or ...

Abstract: Computing-in-memory (CIM) significantly reduces latency and power consumption by combining computation and memory, typically utilizing non-volatile memories (NVM). However, device ...