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Topological AI enables interpretable inverse design of catalytic active sites
A collaborative research team led by Professor Pan Feng from the School of New Materials at Peking University Shenzhen ...
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Riverbed banks on AI-driven network observability
Today, Riverbed announced new AI-driven intelligent network observability solutions featuring next-generation xx90 hardware ...
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Toward a new framework to accelerate large language model inference
High-quality output at low latency is a critical requirement when using large language models (LLMs), especially in ...
The Inference Economy: How Sparse Computing And Model Optimization Are Reshaping Enterprise AI Deployment
Success will be determined not by who builds the largest models, but by who optimizes inference efficiency while maintaining ...
From Humanoids To Driverless Cars: Why The Next Rung On The AI Ladder Will Require A New Kind Of Network
As inference workloads move into physical environments, latency becomes a liability, a variable that can’t be abstracted away ...
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How engineers are optimising Edge AI with NPUs and model compression
As AI models move from design to production, engineers face a challenge: delivering real-time performance with limited computational power.