Researchers at QuTech in Delft, The Netherlands, have developed a new chip architecture that could make it easier to test and ...

Enterprise AI adoption is widespread in ambition and uneven in execution. Across industries, organizations are experimenting with machine learning and generative models, training teams, and deploying ...

Echo-2 is designed to change that dynamic. Rather than forcing all training to run inside tightly controlled clusters, the system allows reinforcement learning workloads to be spr ...

EcoStruxure Foxboro Software Defined Automation (SDA) delivers openness, embedded cybersecurity and real-time intelligence, ...

The importance of open industrial systems was highlighted in Schneider Electric's recent global research report with Omdia, which uncovered closed systems cost mid-sized industrial companies 7.5% of ...

An AI-integrated infrastructure framework embeds real-time diagnostics, reinforcement learning, and multi-agent coordination into distributed ...

When millions click at once, auto-scaling won’t save you — smart systems survive with load shedding, isolation and lots of ...

GridGain donated the original Ignite code to The Apache Software Foundation (ASF) in 2014. GridGain is a Bronze Sponsor of the ASF, with several members of the GridGain team serving as active ...

If your “microservices” still deploy like a monolith, maybe it’s time to break free with a truly composable AWS architecture. In today’s fast-paced digital landscape, building agile, scalable and ...

Iri Trashanski, Chief Strategy Officer at Ceva, is shaping the future of the Smart Edge with extensive experience across tech sectors. AI inference is happening across a network of local ...

Neel Somani, a researcher and technologist with a strong foundation in computer science from the University of California, Berkeley, focuses on advancements of distributed computing across personal ...