Semiconductor Engineering

Balancing Training, Quantization, And Hardware Integration In NPUs

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

Outlier-aware Quantization Framework Co-designed With Heterogeneous NVM For SLM Deployment on Edge Platforms (UCSD et al.)

Efficient SLM Edge Inference via Outlier-Aware Quantization and Emergent Memories Co-Design” was published by researchers at ...

It’s been 8 years of phone AI chips — and they’re still wasting their potential

Eight years after the first mobile NPUs, fragmented tooling and vendor lock-in raise a bigger question: are dedicated AI ...
Nanowerk

Stacked memristor arrays compute Euclidean distance in memory to accelerate self-organizing maps

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

Top 10 edge AI chips

Here are our picks for the top 10 edge AI chips with a bright future across applications from vision processing to handling multimodal LLMs.
Morning Overview on MSN

MIT’s heat-powered silicon chips hit 99% accuracy in math tests

Engineers at MIT have turned one of computing’s biggest headaches, waste heat, into the main act. By sculpting “dust-sized” silicon structures that steer heat as precisely as electrical current, they ...
Scientific Research Publishing

Galactic Rotation Curves Explained in the 4DEU Framework by 3D Spatial Curvature from Local Gravitational Blocking of Cosmic Expansion: No Need for Dark Matter ()

The observed near flatness of galactic rotation curves has long been interpreted as evidence for large amounts of non-baryonic dark matter. Here we show that this phenom ...