Keysight Technologies has recently launched a new Machine Learning Toolkit within its Device Modeling Software Suite, using ...

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

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

Industrial AI deployment traditionally requires onsite ML specialists and custom models per location. Five strategies ...

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

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 ...

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

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...

Quantum technologies, systems that process, transfer or store information leveraging quantum mechanical effects, could tackle ...

A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence's toughest challenges by enabling AI systems to reason more like humans—without requiring new training ...

Nature’s annual list of technologies to watch is a chance to celebrate progress and stimulate research into both ...