Abstract: In intelligent transportation systems, deep learning is a widely adopted technique for traffic data recovery. In city-wide traffic data recovery tasks, traditional centralized ...

Abstract: Data stream learning is an emerging machine learning paradigm designed for environments where data arrive continuously and must be processed in real time. Unlike traditional batch learning, ...

Welcome to the first tutorial on ATLAS Open Data! This four-day event is intended to provide information for a variety of audiences: The first two days focus specifically on Open Data for Education ...

Will AI Speed or Slow Big Tech’s Progress to Net Zero? Credit: Getty Big Tech’s AI expansion is driving huge data centre energy needs, challenging net zero sustainability targets but also offering ...

I'm on a mission to review 1,000 marketing software tools and share my findings with over 100,000 small business owners worldwide. In an age where digital tools can make or break your business, I’m ...

As the complexity of data continues to spiral, data and tech leaders are addressing a wide range of issues to optimize their approach, particularly against an economic backdrop that is anything but ...

Alternate Microsoft.VisualBasic runtime created to support ease-of-use VisualBasic .NET 5.x, .NET 6.x and .NET 7.x development for non-WinForms projects (.net standard 2.x, console, cross-platform, ...

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As the quantity of data snowballs into unchartered territory, companies continue to evaluate and adjust their strategies to manage this avalanche of data – especially as tech leaders are being asked ...

A partnership led by real estate developer Westbank and Pacific Gas and Electric Company (PG&E) announced a proposal for a net zero community located in downtown San Jose, including three new data ...