This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

From $50 Raspberry Pis to $4,000 workstations, we cover the best hardware for running AI locally, from simple experiments to ...

Abstract: Directly affecting both error performance and complexity, quantization is critical for MMSE MIMO detection. However, naively pruning quantization levels is ...

The IMD AI Safety Clock is a tool designed to evaluate the risks of Uncontrolled Artificial General Intelligence (UAGI) – autonomous AI systems that operate without human oversight and could ...

Nuxt 4.2 elevates the developer experience with native abort control for data fetching, improved error handling, and experimental TypeScript support. With a 39% reduction in bundle sizes and a ...

Andrew Bloomenthal has 20+ years of editorial experience as a financial journalist and as a financial services marketing writer. David Kindness is a Certified Public Accountant (CPA) and an expert in ...

Abstract: Automatic quantization generates efficient hybrid precision quantization schemes without manual effort, offering a promising approach for developing hardware-friendly MIMO detectors. However ...

Large language models (LLMs) have revolutionized language processing, delivering outstanding results across multiple applications. However, deploying LLMs on edge devices poses several challenges with ...

Vector Post-Training Quantization (VPTQ) is a novel Post-Training Quantization method that leverages Vector Quantization to high accuracy on LLMs at an extremely low bit-width (<2-bit). VPTQ can ...