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 ...
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 ...
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 ...
Interactive, physics-driven seesaw built with HTML, CSS, and vanilla JavaScript. Click anywhere on the plank to drop objects with random weights (1–10 kg). The seesaw tilts smoothly using real torque ...
These are for demonstration purposes only. There are many implementations of sorts in the Javascript standard library that are much better for performance reasons. From Wikipedia: Bubble sort, ...
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 ...
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