Even if you’ve never bought any cryptocurrency, like columnist Karmela Padavic-Callaghan, your money may be affected by ...

Day, when quantum computers will be able to break standard public-key encryption, posing major risks to Bitcoin (BTC-USD) and ...

Since its release, the paper has catalyzed an extraordinary wave of global engagement, with Roger Spitz translating its themes into high-impact keynotes, executive briefings, and closed-door boardroom ...

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 ...

ABSTRACT: Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle ...

Unmanned surface vehicles (USVs) nowadays have been widely used in ocean observation missions, helping researchers to monitor climate change, collect environmental data, and observe marine ecosystem ...

This important study uses reinforcement learning to study how turbulent odor stimuli should be processed to yield successful navigation. The authors find that there is an optimal memory length over ...

Scientists say they have made a breakthrough after developing a quantum computing technique to run machine learning algorithms that outperform state-of-the-art classical computers. The researchers ...

A trove of Alan Turing's papers, including his own personal copy of his PhD dissertation, is going up for auction June 17 after narrowly avoiding destruction. The papers were "offprints," or copies of ...

Abstract: This paper aims to develop an intelligent robot trajectory tracking control method with low computational complexity, good generalization ability, and an adaptive parameter adjustment ...