AI is searching particle colliders for the unexpected ...

They’re harnessing it to help directors prepare, debate, and decide. by Stanislav Shekshnia and Valery Yakubovich In 2014 Hong Kong–based Deep Knowledge Ventures formally appointed an algorithm to its ...

Abstract: This article introduces denoising diffusion probabilistic models to enhance core loss predictions in high-frequency magnetic components. Conventional methods, such as the Steinmetz equation, ...

Abstract: The dynamic variation of the stock market plays a crucial role in assessing a country’s economic power and development. Modeling the chaotic fluctuations in stock prices aids investors and ...

Introduction: Moving Beyond Predictive Accuracy  Prediction has been traditionally the backbone of applied data science. From ...