BIOENGINEER

Deep Learning Model Accelerates Drug Target Screening and Repurposing Opportunities

Researchers have developed a deep learning architecture combining transformers and convolutional neural networks to predict ...
BIOENGINEER

Diffractive Neural Networks Enable Passive Optical Routing of Polarization and Wavelength

Researchers have demonstrated all-optical polarization and wavelength routing using passive deep diffractive neural networks ...

Chapi's Deep Learning Lecture Room | Part 20: How Does AI Learn as a Single Model? — Connecting the Techniques Learned Over 20 Sessions

Natsume: I will be the one explaining today.Over the past 19 sessions, we have learned various mechanisms that support deep ...

Chappy's Deep Learning Lecture Hall | Part 17: Residual Connections (ResNet) — Why Does AI Create Paths That Skip Over Steps?

Weight Initialization.It was important to decide how to set the initial weights when a neural network begins learning.This ...
techtarget

What is deep learning and how does it work?

Deep learning is a type of machine learning (ML) and artificial intelligence (AI) that trains computers to learn from extensive data sets in a way that simulates human cognitive processes. Deep ...

Signia Brings World's First AI Hearing Aid Platform with Four Deep Neural Networks to Veterans with Pure C&G MaX

Signia today announced that Pure Charge&Go MaX, the world's first hearing aid powered by the Multi‑adaptive Xperience (MaX) platform, is now available through the U.S. Department of Veterans Affairs ...
Ars Technica

How a stubborn computer scientist accidentally launched the deep learning boom

During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...
Booth School of Business

Paper Deep Neural Networks for Estimation and Inference

We study deep neural networks and their use in semiparametric inference. We establish novel rates of convergence for deep feedforward neural nets. Our new rates are sufficiently fast (in some cases ...
Android Police

Neural Networks: Everything you need to know

Parth is a technology analyst and writer specializing in the comprehensive review and feature exploration of the Android ecosystem. His work focus on productivity apps and flagship devices, ...