Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...

Artificial intelligence is rapidly becoming one of the most lucrative and sought-after fields. The ongoing digital ...

Artificial intelligence is one of the fastest-growing and highest-paying fields today. The continued digitization of ...

The proof-of-concept could pave the way for a new class of AI debuggers, making language models more reliable for business-critical applications.

Artificial intelligence and deep learning have revolutionized the field of neural data analysis in recent years. The explosion of complex, high-dimensional ...

The review reveals that supervised learning dominates AI-driven agriculture, accounting for nearly 60 to 88 percent of all ...

darnax is a research library for building and experimenting with asymmetric recurrent neural networks and their learning dynamics. Inspired by recent work on local plasticity and representational ...

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Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting accuracy of TC tracks has improved substantially in recent decades, ...

Can a plastic RNN serve as a basis function for learning to estimate value. In previous work this was shown to be the case, with a similar architecture to that proposed here. The learning rule in ...

ABSTRACT: Cybersecurity has emerged as a global concern, amplified by the rapid expansion of IoT devices and the growing digitization of systems. In this context, traditional security solutions such ...