Every so often, someone creates or changes a programming language. In the process, these language creators make a number of design choices. They may wonder whether to check certain conditions at ...

Let’s take a look at how various mathematicians over the ages have dealt with the idea that quantities have ‘dimensions’, in the sense of dimensional analysis. People thought about this for centuries.

We review encoding and hardware-independent formulations of optimization problems for quantum computing. Using this generalized approach, an extensive library of optimization problems from the ...

If you’ve gone to a movie theater recently, it was probably for a reunion of sorts. The familiar faces of Ant-Man, Adonis Creed, and John Wick have been some of the biggest box office draws so far ...

A team of computer scientists has come up with a dramatically faster algorithm for one of the oldest problems in computer science: maximum flow. The problem asks how much material can flow through a ...

Physics-Informed Neural Networks (PINN) are neural networks encoding the problem governing equations, such as Partial Differential Equations (PDE), as a part of the neural network. PINNs have emerged ...

Resident data scientist Dr. James McCaffrey of Microsoft Research turns his attention to evolutionary optimization, using a full code download, screenshots and graphics to explain this machine ...

Autoregressive Integrated Moving Average models are perfect for time series prediction Used it on data that includes a seasonal temporal shift. The data was non-stationary and had trends in the ...