Abstract: Characterizing and predicting the training performance of modern machine learning (ML) workloads on compute systems with compute and communication spread between CPUs, GPUs, and network ...

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The rise of the AI gig workforce has driven an important shift from commodity task execution to first-tier crowd contribution ...

In Yellowstone, the long, rising howl of a gray wolf has always felt like pure mystery, a sound that hints at meaning but ...

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

For years, the artificial intelligence industry has followed a simple, brutal rule: bigger is better. We trained models on ...

Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

Overview: AI skills are among the most in-demand career competencies in 2026 across industries.Leading EdTech platforms focus on hands-on projects and real-worl ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Let’s be real: procedures and processes in the workplace are pretty much just part of the job. But what happens when office ...

New findings highlight the need to systematically check for bias in pathology AI to ensure equitable care for patients.

While some AI courses focus purely on concepts, many beginner programs will touch on programming. Python is the go-to ...