Agnik International, a leading data science company with market-leading analytic products, today announced that they are developing a new distributed machine learning architecture based on decades of ...

Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...

Microfactories are not just smaller replicas of mega-factories. They operate with radically different assumptions. Data is real-time and transient, not batch-processed. Production is modular, not ...

As global carriers in aggressively pursue AI-driven automation, U.S. operators require architectural frameworks that enable innovation and manage infrastructure.

Modern transaction systems now integrate logs, metrics, and distributed tracing to provide real-time visibility into application and infrastructure performance. This enables teams to identify ...

Nokia is to power AI inference for the Asia Pacific market, as the vendor’s Singaporean arm enters a partnership with AI chip ...

AI factories meet the computational capacity and power requirements of today’s machine-learning and generative AI workloads.

Businesses with a Mac-first strategy have long enjoyed the perception of inherent security from the Unix-based operating ...

Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.

As AI accelerates, leaders must fundamentally reimagine their digital operating model, harnessing AI as a catalyst to ...

Google has released TranslateGemma, a set of open translation models based on the Gemma 3 architecture, offering 4B, 12B, and ...

Public sector modernization demands more than cloud migration. Drawing on two decades of enterprise architecture experience, Saurabh Atri shares how platform-centric design, security-by-design, and ...