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 ...

Pratyosh Desaraju secures German utility patents for AI systems that automate legacy system enhancement and detect ...

A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling ...

This column focuses on open-weight models from China, Liquid Foundation Models, performant lean models, and a Titan from ...

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 ...

AI/ML are driving a steep ramp in neural processing unit (NPU) design activity for everything from data centers to edge ...

Can one AI system meaningfully improve another without going back to expensive retraining runs? In other words, can our ...

Autoscaling is the primary method to control the performance level and the cost of cloud-native systems, thereby making them ...