Wayve courts automakers with AI driving system that learns like humans

Wayve’s approach is similar to another big autonomous-driving player — Tesla (TSLA.O), which moved to an end-to-end model a ...
IEEE

IR-QLA: Machine Learning-Based Q-Learning Algorithm Optimization for UAVs Faster Trajectory Planning by Instructed- Reinforcement Learning

Abstract: Trajectory planning for unmanned aerial vehicles (UAVs) presents a formidable challenge, particularly in environments where details about the terrain and objectives are not known beforehand.
aboutamazon

How generative AI helps Amazon eliminate checkout lines and revolutionize the shopping experience

Generative AI and other technologies behind Amazon’s Just Walk Out technology are making checkout lines a thing of the past. Seattle Seahawks fans win no matter who their team is facing on the field.
IEEE

Machine Learning-Based Algorithm for SAR Wave Parameters Retrieval During a Tropical Cyclone

Abstract: The major objective of our research is to retrieve wave parameters from synthetic aperture radar (SAR) images during a tropical cyclone (TC) based on a machine learning method. In this study ...
GitHub

Replaced by the Topics API

This is an explainer for a new way that browsers could enable interest-based advertising on the web, in which the companies who today observe the browsing behavior of individuals instead observe the ...
Frontiers

The diagnosis of tuberculous meningitis: advancements in new technologies and machine learning algorithms

Tuberculous meningitis (TBM) poses a diagnostic challenge, particularly impacting vulnerable populations such as infants and those with untreated HIV. Given the diagnostic intricacies of TBM, there’s ...
Journal of Medical Internet Research

Exploratory Data Mining Techniques (Decision Tree Models) for Examining the Impact of Internet-Based Cognitive Behavioral Therapy for Tinnitus: Machine Learning Approach

Analyses were undertaken by using various exploratory machine learning algorithms to identify the most influencing variables. In total, 6 decision tree models were implemented, namely the ...