Abstract: A cluster analysis approach based on an ensemble of unsupervised competitive neural networks for clustering optimization is proposed in this paper. The proposed method utilizes centroid ...

One of the most striking outcomes of the surface-minimization framework is its ability to explain structural features that ...

Weekly cybersecurity recap covering emerging threats, fast-moving attacks, critical flaws, and key security developments you ...

Evolving challenges and strategies in AI/ML model deployment and hardware optimization have a big impact on NPU architectures ...

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 ...

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 ...

Hydrogels are among the most widely studied biomaterials in modern drug delivery research. Their high hydrophilicity, ...

PPA constraints need to be paired with real workloads, but they also need to be flexible to account for future changes.