3-day Indo-French meet on non-linear optimization at BHU

Varanasi: The three-day Indo-French seminar on ‘Recent Developments in Non-linear Optimization Problems and Applications and ...

MicroCloud Hologram Inc. Releases Hybrid Quantum-Classical Convolutional Neural Network, Achieving New Breakthrough in MNIST Multi-Class Classification

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a Quantum Convolutional Neural Network (QCNN) based on hybrid quantum-classical learning and ...

WiMi Studies Hybrid Quantum-Classical Convolutional Neural Network Model

(NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that they are actively exploring a shallow hybrid quantum-classical ...
IEEE

A Predefined-Time Fuzzy Adaptive RNN for Time-Dependent Bound-Constrained Nonlinear Optimization With Applications

Abstract: Recently, recurrent neural network (RNN) models have been extensively investigated for addressing time-dependent nonlinear optimization problems. However, few existing RNN models take ...
Phys.org

Switching it up: The secret survival strategy to life as revealed by mathematics

The seemingly unpredictable, and thereby uncontrollable, dynamics of living organisms have perplexed and fascinated scientists for a long time. While these dynamics can be represented by reaction ...
earth

AI algorithms can increase ocean plastic cleanup efficiency

Plastic waste has woven itself into the fabric of our oceans, threatening marine life, disrupting ecosystems, and impacting global economies. For decades, attempts to solve this crisis struggled with ...
IEEE

Distributed Convex Optimization Over Nonlinear Networks Under Set Constraints

Abstract: This article is devoted to the distributed convex optimization problem for a class of nonlinear multiagent systems under set constraints. The optimization objective function is composed of ...
Scientific Research Publishing

Multi-Strategy Improved Secretary Bird Optimization Algorithm ()

This paper addresses the shortcomings of the Sparrow and Eagle Optimization Algorithm (SBOA) in terms of convergence accuracy, convergence speed, and susceptibility to local optima. To this end, an ...