Abstract: Scale variation of objects remains one of the crucial challenges in object detection. Currently, conventional dense detectors with fixed receptive fields and label weights are not conducive ...

A research team from Tsinghua University says it has developed a 3D printing method capable of fabricating millimeter-scale objects in under a second, which is a dramatic improvement over most current ...

Stay up to date with everything that is happening in the wonderful world of AM via our LinkedIn community. Researchers at Tsinghua University in Beijing have developed a 3D printing method that is ...

In recent years, 3D printing has advanced rapidly. However, the technology has been trapped in a frustrating tug-of-war. If you wanted something precise, you had to wait hours. If you wanted something ...

The interstellar object 3I/ATLAS was discovered on July 1, 2025, and became the third recorded interstellar visitor to the Solar System. According to Harvard Professor Avi Loeb’s blog posts on Medium ...

Large-scale objects tested against industrial shredders. Spanberger takes further steps to remove Virginia from ICE operations Rare bus-sized phantom jellyfish caught on camera. See video CBS News ...

Santa with CCW gets pulled over, tells Ohio deputy 'you got to protect yourself' during festive traffic stop Woman adopts saddest shelter cat—not ready for how he changes once home Travis Kelce's ...

It’s a universal fact that as any 3D object, from a Platonic sphere to a cell to an elephant, grows outward in all directions, its total surface area will increase more slowly than the space it ...

Two physicists at the University of Stuttgart have proven that the Carnot principle, a central law of thermodynamics, does not apply to objects on the atomic scale whose physical properties are linked ...

No product launch excites me more than the release of a new Tamagotchi. So when it comes time to review one, I like to first give myself a little while to just live with the device — to feel that ...

A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural network-based method for large-scale celestial object classification, according ...

feature-requestAll issues for new features that have not been committed toAll issues for new features that have not been committed toneeds-discussion We would like to add support for an annotation to ...