Between rain and snow, machine learning finds nine precipitation types

In research that could improve weather forecasting and winter driving safety, a University of Michigan-led study distinguished nine distinct precipitation types—varieties of rain, snow and mixed-phase ...

Photon Processors Enable Ultra-Fast Artificial Intelligence Computing with High Energy Efficiency

In today's machine learning field, deep neural network models are becoming increasingly large and complex, posing significant challenges to traditional electronic computing hardware. To address this ...
IEEE

Multi-functional Low-threshold Nonlinear Activations for Photonic Neural Networks

Abstract: In recent years, with the advancement of optical computing technology, optoelectronic activation functions have emerged as a critical component for high-performance optical computing systems ...
marktechpost

Building an Advanced Convolutional Neural Network with Attention for DNA Sequence Classification and Interpretability

In this tutorial, we take a hands-on approach to building an advanced convolutional neural network for DNA sequence classification. We focus on simulating real biological tasks, such as promoter ...
IEEE

A modified ELM algorithm for single-hidden layer feedforward neural networks with linear nodes

Abstract: A modified ELM algorithm for a class of single-hidden layer feedforward neural networks (SLFNs) with linear nodes is discussed in this paper. It is seen that the input weights of the SLFN ...
C&EN

Mode Visualization and Control of Complex Lasers Using Neural Networks

Blackett Laboratory, Department of Physics, Imperial College London, London SW7 2BW, U.K. Blackett Laboratory, Department of Physics, Imperial College London, London ...