IEEE

Design of a Framework for Machine Learning-Based SNR Prediction and Physics-Guided Neural Network for Adaptive Modulation in Underwater Optical Wireless Links

Abstract: Due to massive developments in underwater applications, the scarcity of bandwidth resources for underwater communication has fuelled the need for more advanced technology in the field of ...

Autoscience builds automated research lab for machine learning models with $14M

Artificial intelligence startup Autoscience Institute has launched with $14 million in seed funding to automate research into ...
AOL

Understanding The Functions On Your Smart LG Washing Machine

When considering the most popular washer and dryer brands in the USA, LG consistently ranks at the top. It's no surprise, since they are widely recognized for their reliability and user-friendly ...
eLife

An interpretable neural network unveils higher-order epistasis in large protein sequence-function relationships

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...
IEEE

OBFNet: A Neural Beamforming Network Using Orthonormal Basis Functions

Abstract: Time-domain neural beamformers, such as the filter-and-sum network (FaSNet), can alleviate residual noise and reduce algorithmic latency compared with short-time Fourier transform domain ...
Frontiers

Implementing physics-informed neural networks with deep learning for differential equations

Physics-aware machine learning integrates domain-specific physical knowledge into machine learning models, leading to the development of physics-informed neural networks (PINNs). PINNs embed physical ...