The 6G horizon: Can AI finally solve the telco monetization paradox?

As one would expect, artificial intelligence was a top theme at the recent MWC conference in Barcelona, but 6G was certainly prominent as well. This year, the discussions has pivo ...
RCR Wireless News

AI synthetic data: training models without breaching privacy

Facing strict privacy laws, telcos use AI-generated synthetic data as a compliant workaround to train ML models without exposing sensitive customer information.
IEEE

New Approaches for Network Topology Optimization Using Deep Reinforcement Learning and Graph Neural Network

Abstract: The exponential growth in Internet-connected devices has escalated the demand for optimized network topologies to ensure high performance. Traditional optimization methods often fall short ...
The Malaysian Reserve

MicroCloud Hologram Inc. Achieves Breakthrough in Practically Deployable Quantum Recurrent Neural Network (QRNN) Technology Oriented Toward Sequential Learning

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, released a core quantum machine learning technology oriented toward sequential learning tasks—the ...
GitHub

Neural Pupil Engineering for off-axis Fourier Ptychography

This is the MATLAB code for the implementation of neural pupil engineering FPM (NePE-FPM), an optimization framework for FPM reconstruction for off-axis areas. NePE-FPM engineers the pupil function ...
IEEE

Energy Optimization in Three-Dimensional Wireless Sensor Networks Using Hybrid K-Means and Mixed Integer Linear Programming

Abstract: Energy optimization is a critical challenge in wireless sensor networks (WSNs) due to its direct impact on the network lifetime. This paper proposes the use of the K-means algorithm combined ...