The GSMM Camp is a weeklong workshop that builds interdisciplinary problem-solving skills for graduate and advanced undergraduate students. Participants work in teams on mathematically rich problems ...

Most in vivo scientists would agree that digital biomarkers collected via home-cage monitoring generate valuable data. However, few can tell precisely how valuable. The gap between enthusiasm and ...

Learn machine learning from the ground up - using Python and a handful of fundamental tools. This repository contains a range of resources associated with the 2nd edition of the university textbook ...

Nvidia and OpenAI recently signed a letter of intent for 10-plus gigawatts of AI infrastructure, with Nvidia investing up to $100 billion in the AI pioneer. The partnership locks in OpenAI's training ...

Economists have developed different types of models describing the interaction of agents in markets. Early models in general equilibrium theory describe agents taking prices as given and do not ...

Programming is both an enjoyable and a difficult task. A seemingly small slip can introduce a serious error or create a security vulnerability. The need for, and ...

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 ...

This is a cooler physics problem than I initially realized. It goes something like this. A block has a mass of 1 kg and is placed on a vertical wall such that the coefficient of static friction is 0.5 ...

Optimization problems arise naturally in statistical machine learning and other fields concerned with data analysis. The rapid growth in the scale and complexity of modern datasets has led to a focus ...