Tech Xplore on MSN

Team develops high-speed, ultra-low-power superconductive neuron device

A research team has developed a neuron device that holds potential for application in large-scale, high-speed superconductive neural network circuits. The device operates at high speeds with ultra-low ...
Deep Learning with Yacine on MSN

20 Activation Functions in Python for Deep Neural Networks – ELU, ReLU, Leaky-ReLU, Sigmoid, Cosine

Explore 20 different activation functions for deep neural networks, with Python examples including ELU, ReLU, Leaky-ReLU, ...
Tech Xplore on MSN

VFF-Net algorithm provides promising alternative to backpropagation for AI training

Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn ...

Cornell’s Tiny “Microwave Brain” Chip Could Transform Computing and AI

Scientists have built a “microwave brain” chip that processes information at radar-like speeds while sipping power. It could revolutionize how AI and communication devices operate, from smartwatches ...
InfoWorld

Gradient descent in Java

Find out why backpropagation and gradient descent are key to prediction in machine learning, then get started with training a simple neural network using gradient descent and Java code. Most ...
InfoWorld

Styles of machine learning: Intro to neural networks

Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks. Artificial intelligence ...
News Medical

Neural networks responsible for spatial perception change in a nonlinear manner, study shows

Young children sometimes believe that the moon is following them, or that they can reach out and touch it. It appears to be much closer than is proportional to its true distance. As we move about our ...