AI workflows fundamentally depend on real-time data movement: ingesting training data streams, feeding live data to models for inference and distributing predictions back to applications. But strip ...

CPU architectures in a single system, whether that is a single system-on-chip (SoC) or a larger electronics platform ...

OCR, which is now is being replaced by IDP, Intelligent Document Processing, is moving beyond back-office tasks like invoice processing into front-office use cases like KYC (Know Your Customer) checks ...

Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation.

There are benefits and challenges of processing AI workloads on-device to enhance performance, reduce costs, and ensure data ...

The space race is back – but unlike the battle between the political superpowers in the 60s, this one is between tech ...

DualBird Inc., a startup using customizable field-programmable gate arrays to speed up data processing workloads, today ...

In the field of data science and engineering, tensors have become an essential tool for representing and analyzing ...

Autonomous applications demand instant decisions, which require significant edge processing to achieve optimal latency ...

Cisco is offering an integrated package of networking, compute and storage aimed at helping enterprise customers more ...

Explore Cerebras’s new Oklahoma data center, the fastest AI facility globally, featuring 44 exaflops of power and innovative technologies.

Researchers from The University of Osaka's Institute of Scientific and Industrial Research (SANKEN) have successfully ...