Abstract: In this paper, we present a motion planning algorithm designed to guide agents, termed as player agents, optimally through multi-agent 3D urban air environments. The method integrates a ...
A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, ...
Researchers in Japan have developed an adaptive motion reproduction system that allows robots to generate human-like movements using surprisingly small amounts of training data. Despite rapid advances ...
LOS ANGELES, Calif.--(BUSINESS WIRE)--Zefr, a global leader in brand suitability technology for social platforms, today announced that the U.S. Patent and Trademark Office has granted the company a ...
Zefr, a global leader in brand suitability technology for social platforms, today announced that the U.S. Patent and Trademark Office has granted the company a new patent covering its proprietary ...
AURORA – The Classification and League Organization Committee met on Wednesday, moving the pieces for the 2026-28 two-year cycle more firmly into place. The meeting was a crucial step as CHSAA ...
This important work introduces a family of interpretable Gaussian process models that allows us to learn and model sequence-function relationships in biomolecules. These models are applied to three ...
ABSTRACT: The sandstone reservoir of the Shanxi Formation serves as a key exploration and development target in the eastern Yanchuan gas field of the Ordos Basin, where its physical properties and ...
ABSTRACT: This paper introduces a method to develop a common model based on machine learning (ML) that predicts the mechanical behavior of a family with three composite materials. The latter are ...
Gaussian process code in C++ including some implementations of GP-LVM and IVM. - BoltzmannBrain/GPc ...
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