The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

Imagine you’re at a bustling dinner party filled with laughter, music, and clinking silverware. You’re trying to follow a ...

Tools such as CRISPR can edit genes with precision, but the process of determining which genes to target is costly and slow, ...

AWS, Cisco, CoreWeave, Nutanix and more make the inference case as hyperscalers, neoclouds, open clouds, and storage go ...

The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning ...

Abstract: Mobile applications based on machine learning (ML) are increasingly relying on offloading to the edge devices for low-latency, resource-efficient computation. Applying serverless computing ...

A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions of synthetic black hole data sets. Based on the network and data from the ...

AI inference uses trained data to enable models to make deductions and decisions. Effective AI inference results in quicker and more accurate model responses. Evaluating AI inference focuses on speed, ...

Introduction: Against the backdrop of China’s ambitious “dual carbon” objectives and ongoing economic transformation, this study investigates the efficacy of solid waste management reform through the ...