Linear regression is the most fundamental machine learning technique to create a model that predicts a single numeric value. One of the three most common techniques to train a linear regression model ...

Simulation games aren't just the realm of thousand-dollar joystick setups and force feedback racing chairs; they can encompass anything, really, from cleaning stubborn dirt to designing the most ...

Introduction: The information presented here is intended to describe the course goals for current and prospective students as well as others who are interested in our courses. It is not intended to ...

Variational quantum algorithms (VQAs) face scalability challenges, notably barren plateaus, where the loss landscape flattens with increasing system size. Here, the authors explore an analog VQA ...

LLMs have recently helped find solutions to a number of minor longstanding problems. But a new plan called First Proof is really putting them to the test ...

Over two days, teams of six students simulate two European Council meetings and a series of meetings at all levels of the Council of the EU on current affairs topics. For example, in 2025 the topics ...

Molecular dynamics is a method that uses Newton’s equations of motion to computationally simulate the time evolution of a set of interacting atoms. Such techniques are dependent on a description of ...

The Global Network of Isotopes in Precipitation (GNIP) is a worldwide isotope monitoring network of hydrogen and oxygen isotopes in precipitation, initiated in 1960 by the International Atomic Energy ...