Kristen Smigielski, Ph.D., was born and raised in Buffalo, New York, in a family of educators. Her grandfather, grandmother, ...

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

Whether you’re evaluating AI upskilling platforms or building internal corporate AI training programs, this hierarchy ...

Urban life increasingly depends on intelligent systems, because they manage both infrastructure and public services. For ...

The main reason you get a smart bird feeder is for the bird recognition and bird facts that come along with it. Birdfy says ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...

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, ...