James is a published author with four pop-history and science books to his name. He specializes in history, strange science, ...

Over the past few years, researchers have developed various quantum technologies, alternatives to classical devices that ...

Sometimes there are profound questions in life that must be answered, like "What is the meaning of existence?", "Are we alone ...

In digital dentistry, cone-beam computed tomography (CBCT) can provide complete 3D tooth models, yet suffers from a long concern of requiring excessive radiation dose and higher expense. Therefore, 3D ...

The crew of Axiom-4 (Ax-4) have been aboard the International Space Station (ISS) since their SpaceX Crew Dragon capsule docked there on June 26. Their days have been filled with more than 60 research ...

A new paper from Maximilien Berthet and Kojiro Suzuki from the University of Tokyo looks at “the dynamics of an origami space plane during Earth atmospheric reentry” – in other words, what happens ...

This paper proposes a tensor product (TP) model transformation-based framework requiring minimal human intuition to numerically reconstruct linear time invariant, Takagi-Sugeno (T-S) fuzzy model-based ...

The search for dark matter requires all the best models, theories, and ideas we can throw at it. A new paper by Julia Monika Koulen, Stefano Profumo, and Nolan Smyth from the University of California ...

However, like many in the nonprofit and bicycle sectors, we're facing a crossroads that demands we reimagine how we fulfill that mission. As a nonprofit board coming from diverse sectors and spanning ...

"Space ice" contains tiny crystals and is not a completely disordered material like liquid water, as previously assumed, ...

This horizon scanner fairing is a piece from the Gemini model, which shows the complete, two-astronaut Gemini spacecraft as it appeared in orbit. The black reentry module with two hatches contained ...

About The training and evaluation code, synthetic datasets and pre-trained models accompanying our paper "Symplectic Learning for Hamiltonian Neural Networks".