Abstract: Quantization of local model updates before uploading to the parameter server is a primary solution to reduce the communication overhead in federated learning. However, prior literature ...

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Abstract: Piecewise polynomial approximation (PPA) on nonlinear functions plays an important role in high-precision computing. In this article, we proposed QPA, an integration of error-flattened ...

This article has been edited and created by AI. Memory Optimization for Vulkan Backend (contiguous buffer fast path) and Progress in KvN KV Cache Quantization — Latest llama.cpp Vulkan News llama.cpp ...

A practical toolkit and step-by-step guide for quantizing ONNX models for Qualcomm® AI Runtime (QAIRT) and deploying them on Qualcomm NPUs. pip install ultralytics ...

SEOUL, South Korea, June 11, 2026 /PRNewswire/ -- Nota AI, a company specializing in AI model compression and optimization, announced that two of its papers on MoE-specific quantization algorithms ...

Two papers on MoE-specific quantization algorithms accepted at a workshop held in conjunction with ICML 2026 Recognition follows Nota AI's overall win at the NVIDIA Nemotron Hackathon Strengthening ...

Tesla FSD Hardware 3 owners received FSD v14 Lite on June 29, ending a 16-month freeze for roughly 4 million vehicles. The ...

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

Daisy-chaining two of Dell's Nvidia GB10 DGX Spark systems didn't just pump up my home AI lab—it fundamentally changed how I ...