Developer Tech

Solving hardware fragmentation for deep learning performance

Hardware fragmentation remains a persistent bottleneck for deep learning engineers seeking consistent performance.
Science Daily

Training algorithm breaks barriers to deep physical neural networks

Researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning ...

WiMi Achieves Coexistence of Lightweight Design and High Performance by Efficiently Embedding Quantum Modules into U-Net

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) focuses on holographic cloud services, primarily concentrating on professional fields such as in-vehicle AR holographic HUD, 3D holographic pulse LiDAR, ...
Semiconductor Engineering

Mixed-Precision DL Inference, Co-Designed With HW Accelerator DPU (Intel)

A new technical paper titled “StruM: Structured Mixed Precision for Efficient Deep Learning Hardware Codesign” was published by Intel. “In this paper, we propose StruM, a novel structured ...