Overview A mix of beginner and advanced-level books to suit various learning needs.Each book blends theory with practical code examples for real-world applicati ...

The experimental objects and the conditions of the grasping task. Researchers at HSE University have developed a new methodological approach to studying motor planning and execution. By using ...

Physicists are exploring a quantum-mechanical approach to making smaller radio wave detectors. Physicists have created a new type of radar that could help improve underground imaging, using a cloud of ...

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 with ...

WESTMINSTER, Colo.--(BUSINESS WIRE)--Maxar Intelligence, the leading provider of secure, precise geospatial insights, announced today that it was awarded Delivery Order 01 under the Luno A program by ...

Abstract: Monocular 3-D object detection is a challenging task in the field of autonomous driving and has made great progress. However, current monocular image methods tend to incorporate additional ...

In southern Australia, a government agency is trialing the assistance of hardworking detection dogs to help locate a protected python species for improved conservation efforts, ABC News Australia ...

It’s possible the trans-Neptunian object, dubbed 2017 OF201, is large enough to qualify as a dwarf planet, making it an “extreme ‘cousin’ of Pluto,” according to Institute for Advanced Study postdoc ...

A team of astronomers using the Australian Square Kilometre Array Pathfinder (ASKAP) radio telescope have detected a mysterious, almost perfectly spherical object in deep space. Named Teleios, Greek ...

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