Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Abstract: In recent years, with the rapid growth number of multi-modal 3D shapes, it has become increasingly important to efficiently recognize a vast number of unlabeled multi-modal 3D shapes through ...

Want to visualize AC voltage in 3D? ⚡📊 In this video, we’ll show you how to create a 3D display of AC voltage using Python. Learn to visualize waveforms and get a deeper understanding of alternating ...

Researchers at Science Tokyo have developed a neural inverse rendering method that accurately reconstructs the three-dimensional (3D) shapes of moving objects using only three standard projection ...

Decades of research has viewed DNA as a sequence-based instruction manual; yet every cell in the body shares the same genes – so where is the language that writes the memory of cell identities?

Can you drill a hole in a cube that an identical cube could fall through? Prince Rupert of the Rhine first asked this question in the 17th century, and he soon found out the answer is yes. One can ...

We’ve often thought that 3D printers make excellent school projects. No matter what a student’s interests are: art, software, electronics, robotics, chemistry, or physics, there’s something for ...

Thinking about learning Python? It’s a pretty popular language these days, and for good reason. It’s not super complicated, which is nice if you’re just starting out. We’ve put together a guide that ...

Have you ever imagined turning your ideas into physical objects with just a few clicks? Thanks to tools like Tinkercad, what once seemed like science fiction is now an accessible reality for anyone ...

In the core of a knitting machine or at the tips of a skilled knitter’s needles, a strand of fiber can be transformed into anything from a delicate scarf to a bulletproof vest. But different knitting ...