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.

At AI’s biggest gathering, its inner workings remain a mystery

Despite soaring progress, scientists at AI’s largest gathering say key questions about how models work and how to measure ...
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

Radiation Source Reconstruction for TSV-Based Chips and Multilayer Circuits via Optimized Neural Networks

Abstract: In this article, a radiation source reconstruction method (SRM) is proposed for through silicon via (TSV)-based chips and multilayer packaged circuits. By integrating various neural networks ...
Frontiers

Spike-based time-domain analog weighted-sum calculation model for extremely low power VLSI implementation of multi-layer neural networks

1 Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Japan 2 Research Center for Neuromorphic AI Hardware, Kyushu Institute of Technology, Kitakyushu, ...
IEEE

Multilayer Perceptron Artificial Neural Network-Based Solution for Interharmonics Diagnosis in Frequency Spectra

Abstract: Interharmonics diagnosis is increasingly important due to the rise of power electronic devices, renewable energy systems, and related technologies. The IEC 61000-4-7 standardizes the ...
Frontiers

Non-negative connectivity causes bow-tie architecture in neural circuits

Bow-tie architecture (BTA) is widely observed in biological neural systems, yet the underlying mechanism driving its spontaneous emergence remains unclear. In this study, we identify a novel formation ...