Come to lab (hopefully not late). Most likely listen to a boring (but short) lecture that seems similar to stuff that was also covered in lecture class – but it’s still confusing. Look at some new ...

The demand for immersive, realistic graphics in mobile gaming and AR or VR is pushing the limits of mobile hardware. Achieving lifelike simulations of fluids, cloth, and other materials historically ...

Artificial intelligence (AI) systems, particularly artificial neural networks, have proved to be highly promising tools for uncovering patterns in large amounts of data that would otherwise be ...

Getting a number of vendors to talk to each other, let alone align, is no easy feat. Adding academics and researchers does not necessarily make things easier. Now try adding to the mix a fragmented ...

Abstract: Machine learning stands poised to revolutionize the process of scientific discovery across various disciplines. In this talk, we will introduce a state-of-the-art scientific machine learning ...

A plot of the rescaled eigenvalue spectrum of horizontal visibility graphs in the Feigenbaum scenario. (Courtesy: J. Phys. A: Math. Theor. 10.1088/1751-8121/ab587f) By means of the so-called ...

Data science was born centuries ago when vast amounts of astronomical data first became available. To draw actionable conclusions from the information, new approaches for analyzing data had to be ...

One of the most basic things students do in a physics lab is to collect data and use that to build a model. Most of these models come in the form of a mathematical function. But here is the problem.

Whether it is a cube of sugar or a chunk of a mineral, a mathematical analysis can identify how many fragments of each size ...