XL, dynamic interest modeling, and distributed stream computing to analyze large-scale e-commerce user behavior. By improving long-sequence prediction, real-time processing, and behavioral clustering, ...

Mobile robots are increasingly deployed in applications ranging from household cleaning to hazardous industrial inspection, ...

Abstract: Mobile robots not only need to navigate autonomously in complex environments, but also need to avoid collisions with dynamic obstacles, especially pedestrians. This paper realizes dynamic ...

Abstract: The traditional A* algorithm has several problems in practical applications, such as many path turning points, redundant nodes, and long running time. it is sometimes impossible to plan the ...

During the past decade and a half, I’ve studied from the inside more than 60 leading companies that focused on building and rebuilding supply chains to deliver goods and services to consumers as ...

Your browser does not support the audio element. The sliding window is an algorithm typically used for strings or arrays, which allows analyzing a subset of data ...

On November 22, a few days after OpenAI fired (and then re-hired) CEO Sam Altman, The Information reported that OpenAI had made a technical breakthrough that would allow it to “develop far more ...

Georgia Tech's online master's in computer science has taken off like a rocket ship. It is the most successful degree program in the history of higher education and we should all take important ...

In a world driven by constant connectivity, online experiences need to be more personalized than ever before. This hyper-personalized approach aims to create the most relevant and customized ...