Deep learning reveals how auditory cortex neurons split up natural sound coding

Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate ...
Nature

Deep Learning and Neural Network Approximations

Deep learning has emerged as a transformative paradigm in modern computational science, leveraging neural networks to approximate complex functions across a variety of domains. Central to this ...
EurekAlert!

Transfer learning-enhanced physics-informed neural network (TLE-PINN): A breakthrough in melt pool prediction for laser melting

The TLE-PINN method integrates EPINN and deep learning models through a transfer learning framework, combining strong physical constraints and efficient computational capabilities to accurately ...
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 ...
The Scientist

Artificial Neural Networks: Learning by Doing

Article reviewed by Grace Lindsay, PhD from New York University. Scientists design ANNs to function like neurons. 6 They write lines of code in an algorithm such that there are nodes that each contain ...

Neural Network Software Market Trends and Strategies 2026-2030 & 2035

The market presents opportunities in digital transformation, deep learning, real-time analytics, and AI-driven optimization ...
Quanta Magazine

Novel Architecture Makes Neural Networks More Understandable

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...
eWeek

Deep Learning vs Generative AI: Understanding the Key Differences

In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise. eSpeaks’ ...
EurekAlert!

A novel deep learning model for medical image segmentation with convolutional neural network and transformer

Accurate segmentation of medical images is essential for clinical decision-making, and deep learning techniques have shown remarkable results in this area. However, existing segmentation models that ...
Unite.AI

From Neural Networks to Negligence: Who’s Responsible When AI Fails?

This article discusses legal issues surrounding the harms caused by artificial intelligence, and where liability may lie if a neural network is not functioning correctly in the real world.Artificial ...

IIT Kanpur: AI And Machine Learning Certification Programme, Check Details

IIT Kanpur has introduced new specialized 4-week courses in Artificial Intelligence and Machine Learning. Check details for early registration, course, and eligibility.