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 ...
Abstract: Maritime domain awareness increasingly relies on Automatic Identification System (AIS) data. Yet, traditional monolithic backends struggle to scale with rising message volumes and offer ...
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 ...
Abstract: With the rapid evolution of artificial intelligence (AI) models, remote sensing applications increasingly rely on computationally intensive deep learning algorithms. However, the outdated ...
DUBAI, United Arab Emirates, Jan. 19, 2026 (GLOBE NEWSWIRE) -- As artificial intelligence development increasingly depends on scalable and reliable computing resources, PHIL AI today announced the ...
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