AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.

In 2026, the question isn’t whether Kubernetes wins – it already has. And yet, many organizations are running mission-critical workloads on a platform they still treat as plumbing, not the operating ...

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

A key lesson was to measure what matters. From the outset, we defined clear success metrics—latency reduction, resource efficiency and cost improvement.

Discover why algorithms and data structures form the foundation of contemporary computing. Discover how DS&A spurs innovation ...

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

Nvidia's 600,000-part systems and global supply chain make it the only viable choice for trillion-dollar AI buildouts.

The system's ability to learn and adapt from operational data resulted in continuous performance improvements over time. Hospital administrators reported significant reductions in scheduling conflicts ...

Meta's AI-driven recommendations boost ad ROI and user engagement, while maintaining the lowest capex among Big Tech. Read ...

The global High-Performance Computing (HPC) market size was US$ 38.0 billion in 2021. The global High-Performance Computing (HPC) market is forecast to grow to US$ 57.9 billion by 2030 by growing at a ...