The Manila Times

WiMi Develops Quantum Convolutional Neural Network Model for Classical Data Classification

WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ('WIMI' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, has completed systematic benchmark testing on fully ...
Bluewin

Over 700,000 adults can't swim - this is how they learn

In Switzerland, eight percent of the population cannot swim. If you want to learn, you need a lot of patience. It's not just about the right technique, but above all about feeling safe in the water.
Tech Times

DeepSeek V4 Architecture: How Sparse Attention Cuts Inference Costs, What NIST Found

DeepSeek V4 architecture uses sparse attention to cut inference costs 73% at one-million-token contexts, but a NIST ...
Athens Banner-Herald

Learning Pool announces acquisition of WorkStep to revolutionize frontline employee experience

We are providing frontline enterprises with a complete, end-to-end suite that moves beyond simple training into real-time engagement and retention.” — Benoit de la Tour, CEO of Learning Pool DERRY, ...
Scientific Research Publishing

Brutzkus, A. and Globerson, A. (2021) An Optimization and Generalization Analysis for Max-Pooling Networks. Proceedings of Machine Learning Research, 161, 1650-1660.

ABSTRACT: The Rectified Linear Unit (ReLU) activation function is widely employed in deep learning (DL). ReLU shares structural similarities with censored regression and Tobit models common in ...
Scientific Research Publishing

Matoba, K., Dimitriadis, N. and Fleuret, F. (2023) Benefits of Max Pooling in Neural Networks: Theoretical and Experimental Evidence. Transactions on Machine Learning Research.

ABSTRACT: The Rectified Linear Unit (ReLU) activation function is widely employed in deep learning (DL). ReLU shares structural similarities with censored regression and Tobit models common in ...
PE Hub

Marlin-backed Learning Pool snaps up WorkRamp

Learning Pool, a portfolio company of Marlin Equity Partners, has acquired WorkRamp Inc, a San Francisco-based next-generation learning management system platform designed for high-growth and ...
LinkedIn

Convolutional Neural Network in Deep Learning: A Detailed Guide

Convolutional Neural Network In Deep Learning: Deep learning has transformed artificial intelligence, enabling computers to analyze data and make decisions with remarkable accuracy. One of the most ...
Frontiers

Deep learning for ultrafast X-ray scattering and imaging with intense X-ray FEL pulses

The advent of X-ray Free Electron Lasers (XFELs) has opened unprecedented opportunities for advances in the physical, chemical, and biological sciences. With their state-of-the-art methodologies and ...
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 ...
IEEE

A Deep Neural Network Based on Masked Strategy and Fuzzy Pooling for Diagnosing Osteoarthritis in X-Ray Images

Abstract: The computer-aided diagnostic method based on deep learning can automatically identify whether X-ray images exhibit symptoms of osteoarthritis, thereby improving the quality and speed of ...