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Generative AI for the optimization of next-generation wireless networks: Basics, state-of-the-art, and open challenges
Next-generation (xG) wireless networks, with their complex and dynamic nature, present
significant challenges to using traditional optimization techniques. Generative Artificial …
significant challenges to using traditional optimization techniques. Generative Artificial …
[HTML][HTML] AI advancements: Comparison of innovative techniques
In recent years, artificial intelligence (AI) has seen remarkable advancements, stretching the
limits of what is possible and opening up new frontiers. This comparative review investigates …
limits of what is possible and opening up new frontiers. This comparative review investigates …
Embedded deep learning accelerators: A survey on recent advances
The exponential increase in generated data as well as the advances in high-performance
computing has paved the way for the use of complex machine learning methods. Indeed, the …
computing has paved the way for the use of complex machine learning methods. Indeed, the …
Implementing an integrated neural network for real-time position reconstruction in emission tomography with monolithic scintillators
Embedding signal processing in the front-end of radiation detectors represents an approach
to cope with the growing complexity of nuclear imaging scanners with increasing field of …
to cope with the growing complexity of nuclear imaging scanners with increasing field of …
An ultra-low power adjustable current-mode analog integrated general purpose artificial neural network classifier
This study introduces a methodology tailored to analog hardware architecture for
implementing an artificial neural network. The fundamental components of the architecture …
implementing an artificial neural network. The fundamental components of the architecture …