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 ...
Technology Networks

Predictive Modeling for Compound Prioritization

Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...
TMCnet

Cognitiv's Full-Funnel CTV Drives Competitive Edge for Fanatics Sportsbook

Cognitiv, the leading advanced performance partner powered by deep learning, today announced its full-funnel CTV solution has delivered a 19% lift in customer lifetime value for Fanatics Sportsbook.
Scientific Research Publishing

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features ()

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...
Frontiers

Numerical foundations for scalable statistical and machine learning methods

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...
Medical Device and Diagnostic Industry (MD+DI)

The AI Era: How Deep Learning is Overcoming Data Scarcity in Medical Imaging

AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...
GitHub

Evolution of Optimization Methods: Algorithms, Scenarios, and Evaluations

Foundational optimization algorithms are the core driving force behind deep learning, evolving from early stochastic gradient descent (SGD) to the widely adopted Adam family. However, as the scale of ...
Medical Xpress

Deep-learning algorithms enhance mutation detection in cancer and RNA sequencing

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...
IEEE

Adversarial Attacks on Evolutionary Algorithms Solving Data-Driven Optimization Problems [Research Frontier]

Abstract: Over the past decades, extensive research has been conducted on adversarial attacks and defense mechanisms in deep learning, particularly in real-world applications such as autonomous ...
Quanta Magazine

The Game Theory of How Algorithms Can Drive Up Prices

Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price. Unhappy with their meager profits, they meet one night in a ...
Nature

A dynamic fractional generalized deterministic annealing for rapid convergence in deep learning optimization

Optimization is central to classical and modern machine learning. This paper introduces Dynamic Fractional Generalized Deterministic Annealing (DF-GDA), a physics-inspired algorithm that boosts ...
Nature

Leveraging hybrid deep learning with starfish optimization algorithm based secure mechanism for intelligent edge computing in smart cities environment

The Internet of Things (IoT) now appears in each domain, from smart cities to home applications. The widespread use of IoT is making its security a real concern. The past few years have revealed an ...