Q&A: Algorithm achieves near end-to-end genome assembly without ultra-long DNA sequencing

Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...
GitHub

Flash LiDAR Vehicle Detection with MATLAB Dataset and Deep Learning Benchmarks

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...
Frontiers

Spike-based Q-learning in a non-von Neumann architecture

Reinforcement learning (RL) provides a computational framework in which an agent learns optimal policies by interacting with the environment and receiving feedback in the form of rewards (Sutton and ...
IEEE

A Weighted Smooth Q-Learning Algorithm

Abstract: Q-learning and double Q-learning are well-known sample-based, off-policy reinforcement learning algorithms. However, Q-learning suffers from overestimation bias, while double Q-learning ...
Reuters

Apple acquires Israeli audio AI startup Q.ai

SAN FRANCISCO, Jan 29 (Reuters) - Apple (AAPL.O), opens new tab on Thursday said it has acquired Q.ai, an Israeli startup working on artificial intelligence technology for audio. Apple did not ...
IEEE

Q-Learning-Based Control for Discrete-Time Switched Affine Systems and Its Application to DC–DC Converter

Abstract: In this paper, a new data-based Q-learning algorithm is proposed to address the optimal control issue for a class of discrete-time switched affine systems (SASs). The algorithm shifts the ...