EurekAlert!

New survey explores deep learning-based algorithms for the traveling salesman problem

Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and ...
Rome Sentinel

SRC gets AFRL contract for next-gen AI, machine learning

SRC, a not-for-profit defense research and development company headquartered in Syracuse with an office in Rome on the ...
Opinion

Quantum Computing Threatens Digital Security: The Urgent Need for Post-Quantum Cryptography

Quantum computing poses a real and growing threat to established cryptographic algorithms like RSA and Elliptic Curve Cryptography (ECC), which form the backbone of digital security for DLT networks ...
TMCnet

MicroCloud Hologram Inc. Builds the Industry's First Multi-FPGA Quantum Fourier Transform Simulation Solution

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, launched a brand-new scalable quantum Fourier transform simulator technology based on multi-FPGA and ...

AJ2 to Demonstrate Proprietary Algorithm–Hardware Integrated Iris Recognition Platform at CES 2026

SEOCHO-GU, SEOUL, SOUTH KOREA, January 1, 2026 /EINPresswire.com/ — AJ2 (CEO Gil Soo Jung) announced that it will demonstrate its proprietary algorithm–hardware integrated iris recognition platform at ...
IEEE

Online Reinforcement Learning Algorithm Design for Adaptive Optimal Consensus Control Under Interval Excitation

Abstract: This article proposes online data-based reinforcement learning (RL) algorithm for adaptive output consensus control of heterogeneous multiagent systems (MASs) with unknown dynamics. First, ...
IEEE

Multi-UAV Path Planning for Plural Data Collection: Distributed Multi-Agent Deep Reinforcement Learning Algorithms

Abstract: Distributed path planning for multiple unmanned aerial vehicles (UAVs) plays a significant role in data collection systems. However, insufficient collaboration among multiple UAVs and ...
Frontiers

Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China

Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...
Scientific Research Publishing

Li, S., Ai, W. and Ge, X. (2020) Fixed-Time Distributed Cooperative Learning for Stochastic Configuration Networks. 2020 Chinese Automation Congress (CAC), Shanghai, 6-8 ...

ABSTRACT: This paper is devoted to studying the dynamic event-triggered consensus problem in distributed Echo State Networks (ESNs). The traditional ESN problem can be formulated as a set of ...