Researchers found that the local release of dopamine – a molecule best known for its role in the brain’s reward system – is a ...

Memory requirements are the most obvious advantage of reducing the complexity of a model's internal weights. The BitNet b1.58 ...

How do we learn new things? Neurobiologists using cutting-edge visualization techniques have revealed how changes across our synapses and neurons unfold. The findings depict how information is ...

This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional Gated ...

In diabetes care, AI has propelled the field forward through predictive modeling, decision support, and real-time glycemic ...

In a rapidly evolving digital landscape, machine learning is at the forefront of computational advancements, revolutionizing industries from healthcare to finan ...

In this article, we propose a method based on an untrained neural network (UNN), which is embedded into the ... Significantly, the proposed UNN method allows for unsupervised training, which is ...

A research team from the Ningbo Institute of Materials Technology and Engineering (NIMTE) of the Chinese Academy of Sciences (CAS) has proposed a hybrid transfer and epitaxy strategy, enabling the ...

Attribution (BY): Credit must be given to the creator. This paper reviews the recent and most impactful advancements in the application of artificial neural networks in modeling the properties of ...

The new Interconnect and Network Performance Tester 1600GE, with ITS software, delivers a holistic system that can organize, store, and use data intelligently to automate interconnect validation ...