XDA Developers on MSN

Google Opal solves the most serious problem non-coders face, and not even Claude or local AI could solve it better

The only no-code automation platform deserves more attention than it gets ...

Quantum cat strategy reduces errors and speeds up quantum computing

A familiar thought experiment about a hidden cat has helped scientists take a meaningful step toward building reliable ...
Tech Times

AI Model Compression for $1,000: Ora Computing Uses Quantum Physics to Beat Hardware Lock-In

Vienna startup Ora Computing raised €3.5M and proved a 70-billion-parameter large language model can be compressed for under ...
Semiconductor Engineering

Balancing Training, Quantization, And Hardware Integration In NPUs

Experts At The Table: AI/ML is driving a steep ramp in neural processing unit (NPU) design activity for everything from data centers to edge devices such as PCs and smartphones. Semiconductor ...
IEEE

Quantization Design for Distributed Optimization

Abstract: We consider the problem of solving a distributed optimization problem using a distributed computing platform, where the communication in the network is limited: each node can only ...
IEEE

Specifying Quantization Characteristics for Required Lifetime Prognostic Performance

Abstract: The accuracy of lifetime prediction is significantly influenced by the quality of condition monitoring (CM) data, and both forward and reversed problems related to this issue have been ...
theregister

Honey, I shrunk the LLM! A beginner's guide to quantization – and testing it

HANDS ON If you hop on Hugging Face and start browsing through large language models, you'll quickly notice a trend: Most have been trained at 16-bit floating point of Brain-float precision. FP16 and ...