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 ...

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 ...

Artificial intelligence has just redrawn the map of our genome’s control room, revealing hundreds of thousands of tiny DNA ...

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 ...

Cybersecurity experts say AI and automation are changing how much impact manipulated data can have on government technology systems.

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...

A research team of mathematicians and computer scientists has used machine learning to reveal new mathematical structure within the theory of finite groups. By training neural networks to recognise ...