Tech Xplore

Why reinforcement learning breaks at scale, and how a new method fixes it

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...
Psychology Today

AI-Decoded Brain Signals May Help Paralyzed Regain Movement

New AI model decodes brain signals captured noninvasively via EEG opens the possibility of developing future neuroprosthetics ...
GitHub

RNN-DAS: A New Deep Learning Approach for Detection and Real-Time Monitoring of Volcano-Tectonic Events Using Distributed Acoustic Sensing

RNN-DAS is an innovative Deep Learning model based on Recurrent Neural Networks (RNNs) with Long Short-Term Memory (LSTM) cells, developed for real-time Volcano-seismic Signal Recognition (VSR) using ...
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, ...
Hosted on MSN

Mosasaur thrived in freshwater at Hell Creek?

This is a video interview between the sisters Kayleigh During and Melanie During, about the latest news on the Mosasaur. In 2022, paleontologists uncovered something strange in the Hell Creek ...
IEEE

Quantum Machine Learning: Recent Advances, Challenges, and Perspectives

Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...