FSNet is a new problem-solving tool that can find the optimal solution to an extremely complex problem without violating any of the problem’s many constraints. Developed at MIT, FSNet could help power ...

Researchers from the Hong Kong University of Science and Technology (HKUST) and Tongji University have developed FerroAI, a ...

Light Publishing Center, Changchun Institute of Optics, Fine Mechanics And Physics, CAS The continuous evolution of digital signal processing (DSP) technologies is pivotal for enhancing the capacity ...

The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...

In this recurring monthly feature, we filter recent research papers appearing on the arXiv.org preprint server for compelling subjects relating to AI, machine learning and deep learning – from ...

According to the analysis, deep learning architectures such as Long Short-Term Memory (LSTM) networks and hybrid CNN-LSTM ...

Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind Adadelta, why it was introduced as an improvement over Adagrad, and guides you ...

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, ...

The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly accessible ...