A deep reinforcement learning framework optimizes silicon-based photonic crystal fiber modulators, achieving ultra-low ...
Jannik Sinner's loss to Juan Manuel Cerundolo was one of the biggest upsets in recent tennis history. Matthew Stockman / Getty Images When the French Open began, Jannik Sinner was one of the biggest ...
In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or a snapshot of the ocean's surface, including peaks and valleys due to ...
Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is the ...
Designing robust loss functions is essential for improving deep learning performance on noisy and sparse time series. We propose the Minkowski–Log–Cosh (MLC) loss, a hybrid formulation that integrates ...
Abstract: Nowcasting plays a crucial role in responding to disasters such as flash floods by predicting rainfall in real time. However, existing nowcasting models struggle to accurately predict ...
Researchers have developed a gene therapy that significantly slowed motor function loss in preclinical models of amyotrophic lateral sclerosis (ALS), offering new hope for treating the devastating ...