Opinion

Context Monsters And Dropout Layers: The Job Market As A Neural Net

Entry jobs are inputs, and middle managers are "dropout layers." See why the few remaining executives are surging.

New Approaches To Weighting Drive Innovation In Large Language Models

Nexus proposes higher-order attention, refining queries and keys through nested loops to capture complex relationships.
Beebom

What is Deep Learning in AI? Understanding How AI Really Works

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...

What is CNN in Deep Learning? The AI Behind Computer Vision

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision ...
EurekAlert!

High-speed all-optical neural networks empowered spatiotemporal mode multiplexing

Researchers from Zhejiang Lab have proposed a novel spatiotemporal mode multiplexing technology, coupling pulsed orbital ...
JCN Newswire

Fujitsu achieves high-precision, long-duration molecular dynamics simulation for all-solid-state battery interphases with over 100,000 atoms

By linking these technologies, Fujitsu aims to establish a new materials development workflow that accelerates materials ...
IEEE

Energy-Efficient Stochastic Computing (SC) Neural Networks for Internet of Things Devices With Layer-Wise Adjustable Sequence Length (ASL)

Abstract: Stochastic computing (SC) has emerged as an efficient low-power alternative for deploying neural networks (NNs) in resource-limited scenarios, such as the Internet of Things (IoT). By ...
IEEE

Spatial Multifeature and Dual-Layer Multihop Graph Convolution Networks for Hyperspectral Image Classification

Abstract: Hyperspectral image (HSI) classification constitutes a crucial research direction within the domain of remote sensing. Convolutional neural networks (CNNs) and graph convolutional network ...