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

Tianpei Lu (The State Key Laboratory of Blockchain and Data Security, Zhejiang University), Bingsheng Zhang (The State Key Laboratory of Blockchain and Data Security, Zhejiang University), Xiaoyuan ...

This repo contains the official code of our ECCV2024 paper: MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization We design MixDQ, a ...

The partnership slashes model onboarding time to under 30 days, offering Alif customers a "Cursor-like" experience for building and deploying Edge AI ...

Abstract: Cloud-based quantization is a key technique for deploying deep neural networks on resource-constrained devices. However, the growing number of heterogeneous devices has placed an increasing ...

Abstract: With the rapid development of neural networks, learned image compression (LIC) has surpassed traditional methods in the field of image compression. However, current LIC frameworks rely on ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

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

MulticoreWare, Inc., a global leader in software performance optimization and artificial intelligence (AI) solutions, today announced its intended collaboration with Qualcomm Technologies, Inc. to ...

The 2025 Nobel Prize in Physics was awarded to three scientists-Dr. John Clarke (Professor Emeritus, University of California ...