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Multi-objective evolutionary optimization for hardware-aware neural network pruning

Neural network pruning is a key technique for deploying artificial intelligence (AI) models based on deep neural networks (DNNs) on resource-constrained platforms, such as mobile devices. However, ...

Telecom’s AI Shift: Carriers Are Building Agentic Networks For The 6G Era

From RAN optimization to agentic AI integration, telecom operators are transforming networks into self-directed, intelligent ...
pv magazine International

PV energy forecasting based on genetic algorithms, dynamic neural network

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...
TelecomTV

Comcast and friends demo quantum-assisted network optimisation

A joint experiment by Comcast, Classiq and AMD demonstrates further advances in combined quantum and classical computing ...

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...