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 ...

As AI workloads move from centralized cloud infrastructure to distributed edge devices, design priorities have fundamentally ...

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.

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

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

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

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

In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...

Percona recently announced OpenEverest, an open-source platform for automated database provisioning and management that ...

Discover the leading AI code review tools reshaping DevOps practices in 2026, enhancing code quality, security, and team productivity with automated solutions.