Microsoft researchers have developed On-Policy Context Distillation (OPCD), a training method that permanently embeds ...
AI’s soaring energy demand is pushing Microsoft and Amazon toward nuclear power, reshaping data center strategy, electricity ...
Unlike GPU-heavy architectures built around HBM, d-Matrix has built its platform around SRAM-based memory and a custom ...
Vast Data expands AI Operating System with global control plane, zero-trust agent framework and deeper Nvidia integration - ...
Artificial intelligence is transforming electricity from a background utility into a strategic asset, driving major technology companies to secure direct access to nuclear power.
Stanford's 2025 AI Index shows inference costs reshaping enterprise AI budgets as training expenses climb and returns remain limited.
Along with Microsoft (projected to reach around $145 billion), these hyperscalers are pledging nearly $700 billion in a frenzied effort to establish ...
Can the global power grid sustain the $600 billion AI expansion? Analyze the "Energy Wall," rising data center electricity ...
AI agents may work smarter than chatbots, but with tool access and memory, they can also leak data, loop endlessly or act ...
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AI Summit 2026: ‘Training on copyrighted data amounts to stealing’, says Pleias founder Stasenko
Speaking to HT ahead of the India AI Impact Summit 2026 in New Delhi, Stasenko argued for “sovereign”, locally run systems over the cloud-dependent models built by US tech giants ...
OpenAI plans to spend about $600 billion on computing infrastructure by 2030 as it eyes an IPO and rapid AI growth.
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