Vipul Kumar Bondugula on why adaptability, smarter concurrency, and failure-aware design are critical to building dependable ...

Transactional memory systems represent a paradigm shift in concurrent programming by abstracting low-level lock management and enabling sequences of operations to be executed as atomic transactions.

Overview:   Serverless 2.0 enables faster, predictable scaling without manual tuning for modern serverless architectures.Serverless platforms support ...

AMD has published new technical details outlining how its AMD Instinct MI355X accelerator addresses the growing inference ...

Algorithmic Core: Their 2026 iteration features a proprietary "Multi-dimensional Intelligent Calculation Engine" utilizing In ...

VAST AI Operating System running natively on NVIDIA BlueField-4 DPUs collapses legacy storage tiers to deliver shared, ...

DDN today announced deep collaboration with NVIDIA to support the company’s next-generation AI factory architecture unveiled ...

Companies staffed by humans are divided into managers and employees, and it seems that AI organizations could be structured ...

Hugo Marques explains how to navigate Java concurrency at scale, moving beyond simple frameworks to solve high-throughput IO ...

Angela Virtu, a professor of business analytics and A.I. at American University’s Kogod School of Business, examines why most ...

Paradigm Shift from "Financial Compliance" to "Business Inference" In the digital landscape of 2026, budget management has ...