American Institute of Physics

Modeling drifting seaweed rafts that clog ports and beaches

Machine learning and other modeling approaches could aid in forecasting the arrival of floating Sargassum rafts that clog ...
Opinion
SpaceNewsOpinion

We need a ‘Planetary Neural Network’ for AI-enabled space infrastructure protection

For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...
IEEE

PF-DTN: Predictive routing for intelligent delay tolerant networks using RNN-LSTM deep learning with monte carlo dropout uncertainty estimation and hybrid deterministic ...

Abstract: Delay tolerant networks (DTN/s) represent an evolution of traditional ad hoc networks, specifically designed for extreme environments characterized by intermittent connectivity, ...
IEEE

An 8.93 TOPS/W LSTM Recurrent Neural Network Accelerator Featuring Hierarchical Coarse-Grain Sparsity for On-Device Speech Recognition

Abstract: Long short-term memory (LSTM) is a type of recurrent neural networks (RNNs), which is widely used for time-series data and speech applications, due to its high accuracy on such tasks.