来自MSN

Backpropagation from Scratch in Python – Step by Step Neural Network Tutorial

Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...
C&EN

Neural CRNs: A Natural Implementation of Learning in Chemical Reaction Networks

Molecular circuits capable of autonomous learning could unlock novel applications in fields such as bioengineering and synthetic biology. To this end, existing chemical implementations of neural ...
Electronic Design

A Neural-Network-Based Approach to Smarter DPD Engines

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.
Frontiers

Assessing the rereading effect of digital reading through eye movements using artificial ...

1 CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China 2 Department of Psychology, University of Chinese Academy of Sciences, Beijing, China Objective: This study aimed to ...
Electronic Design

Mixing Analog and Digital Spiking Neural Networks for Low-Power Sensors

Innatera’s Pulsar blends analog and digital SNN accelerators to deliver always-on neural-network operation for low-power applications. 1. Innatera’s Pulsar system-on-chip incorporates analog and ...
WLRN

Where did U.S. humanities grants go? To projects from a baseball film to AI research

At their core, the humanities are all about what makes us human — like language, religion, philosophy, history, art, community, and identity. "The humanities help us understand the human experience in ...
IEEE

Tutorial: Artificial Neural Networks for Discrete-Event Simulation

Abstract: This advanced tutorial explores some recent applications of artificial neural networks (ANNs) to stochastic discrete-event simulation (DES). We first review some basic concepts and then give ...