Evolving challenges and strategies in AI/ML model deployment and hardware optimization have a big impact on NPU architectures ...
Database optimization has long relied on traditional methods that struggle with the complexities of modern data environments. These methods often fail to efficiently handle large-scale data, complex ...
This column focuses on open-weight models from China, Liquid Foundation Models, performant lean models, and a Titan from ...
Pratyosh Desaraju secures German utility patents for AI systems that automate legacy system enhancement and detect ...
MemRL separates stable reasoning from dynamic memory, giving AI agents continual learning abilities without model fine-tuning ...
A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling ...
AI/ML are driving a steep ramp in neural processing unit (NPU) design activity for everything from data centers to edge ...
Weekly cybersecurity recap covering emerging threats, fast-moving attacks, critical flaws, and key security developments you ...
Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...
Quantum technologies, systems that process, transfer or store information leveraging quantum mechanical effects, could tackle ...
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