Keysight Technologies has recently launched a new Machine Learning Toolkit within its Device Modeling Software Suite, using ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...

Artificial intelligence is colliding with a hard physical limit: the energy and heat of conventional chips. As models scale ...

University of Vienna, Faculty of Chemistry, Institute of Computational Biological Chemistry, 1090 Vienna, Austria University of Vienna, Vienna Doctoral School of Chemistry (DosChem), 1090 Vienna, ...

What is a neural network? A neural network, also known as an artificial neural network, is a type of machine learning that works similarly to how the human brain processes information. Instead of ...

Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech researchers have been developing a neural network made out of strands of DNA instead ...

Abstract: Wireless communication networks are widely used in today's communication systems and hence required proper optimization to achieve the desired response. Today the use of neural networks has ...

Abstract: When solving decision-making problems with mathematical optimization, some constraints or objectives may lack analytic expressions but can be approximated from the data. When an ...