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 ...

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 ...

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 ...

Fine-tuning large language models (LLMs) unlocks their potential for various downstream tasks. However, as the parameter size of LLMs continues to grow exponentially, a significant bottleneck in GPU ...

ABSTRACT: Accurate precipitation forecasting is crucial for mitigating the impacts of extreme weather events and enhancing disaster preparedness. This study evaluates the performance of Long ...

Introduction: Most farmers in Nigeria lack knowledge of their farmland’s nutrient content, often relying on intuition for crop cultivation. Even when aware, they struggle to interpret soil information ...