Aerospace and Mechanical Insider on MSN

AI and machine learning transform materials testing

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...

'Collapsible scissored surfaces' complete trilogy of metamaterial design principles

Over the past decade, Professor L. Mahadevan's Soft Math Lab at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) has helped establish how the ancient Japanese paper arts ...
The Business & Financial Times on MSN

Combating mobile money/digital fraud in Ghana: Strategies for securing digital payments

By Dr. Richmond Atuahene1.0 Introduction/ BackgroundGlobalization and digitization are two major trends that will shape the future of nations. Despite the many challenges associated with adapting to ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
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

Editorial: Machine-learning-assisted photonic design: from fundamental physics to advanced devices

Over the past few decades, machine learning (ML) has profoundly influenced a broad range of scientific and technological disciplines, enabling the exploration of increasingly complex problems through ...
Computer Weekly

Glasgow researchers use machine learning to build network digital twin

Researchers at the University of Glasgow have developed a new way to test networks, which they claim is 25,000 times faster than traditional approaches. Shenjia Ding, a research student at the ...
Crypto Briefing

Ben Fielding: Neural architecture search automates deep learning, the shift to horizontal scaling is essential, and blockchain security enhances consensus algorithms | Unchained

Ben Fielding is CEO and co-founder of Gensyn, the decentralized machine learning compute protocol. He holds a PhD in neural architecture search for deep learning and computer vision. Previously, he co ...
IEEE

A Multiobjective Evolutionary Algorithm Based on Bipopulation With Uniform Sampling for Neural Architecture Search

Abstract: Neural architecture search (NAS) automates neural network design, improving efficiency over manual approaches. However, efficiently discovering high-performance neural network architectures ...
AZOM

AI Neural Emulator Accelerates Thermoelectric Generator Design

Thermoelectric generators convert heat directly into electricity and are widely studied for waste-heat recovery. Their performance depends not only on intrinsic material properties, but also on how ...
GamesIndustry

Unity sees growth in engine revenue, shuts down IronSource ad network in favour of Vector AI user-acquisition platform

Unity has announced that it is shutting down its IronSource advertising/user-acquisition network and planning to divest Supersonic, publisher of mobile games ...