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 ...
This column focuses on open-weight models from China, Liquid Foundation Models, performant lean models, and a Titan from ...
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 ...
Overall, 91% of the retail industry is engaged with AI either by actively using it or assessing it. AI has contributed to ...
In 2026, AIoT evolves into a decentralized ecosystem where edge intelligence and agentic AI replace cloud-centric models, ...
The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...
In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...
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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