Maximally Informative Dimensions (MID) refers to a concept in the fields of data science and machine learning, particularly in the context of dimensionality reduction and feature selection. It focuses on identifying the dimensions (or features) of a dataset that provide the most useful information for a particular task, such as classification, regression, or clustering. The underlying idea of maximally informative dimensions is that not all dimensions in a dataset contribute equally to the predictive power or understanding of the data.

NeuronStudio is a software tool designed for the analysis and reconstruction of neural morphology, particularly for the study of neurons and their complex structures. It is commonly used in neurobiology and related fields to facilitate the visualization, examination, and quantification of neuron shapes and connections, aiding researchers in understanding the architecture and functional properties of neural networks.

ABC@Home is a program that was established by ABC Television Network to allow fans and viewers to engage with their favorite shows and provide feedback from the comfort of their homes. It typically involves activities such as viewing episodes, participating in surveys, and sometimes getting exclusive content or rewards in exchange for their feedback. Programs like this are often designed to gather audience insights, promote viewer loyalty, and enhance the overall television viewing experience.

Computational particle physics is a branch of physics that uses computational methods and algorithms to study and simulate the behavior of fundamental particles and their interactions. This field plays a crucial role in understanding the fundamental forces of nature, such as the electromagnetic, weak, and strong forces, as well as the phenomena predicted by particle physics theories, including the Standard Model and beyond.

Computational physicists are scientists who use computer simulations and numerical methods to solve complex problems in physics. They apply computational techniques to model physical systems, analyze data, and predict the behavior of systems that may be difficult or impossible to study analytically or experimentally. Key aspects of the work of computational physicists include: 1. **Modeling Physical Systems**: They create mathematical models to represent physical systems, which can range from subatomic particles to planetary dynamics.

In the context of programming and software development, particularly in large codebases or frameworks, a "stub" typically refers to a placeholder or a simplified implementation of a function or method that does not provide full functionality. The concept is widely used in various fields, including computational physics. Here are some key points about computational physics stubs: 1. **Purpose**: Stubs are often used during the early stages of development to outline the structure of a program or system.

Monte Carlo methods are a class of computational algorithms that rely on random sampling to obtain numerical results. They are used to solve problems that might be deterministic in principle but are often intractable due to complexity. The name "Monte Carlo" is derived from the famous Monte Carlo Casino in Monaco, highlighting the element of randomness involved in these methods.

TODO what's the largest molecule done on a classical computer?

Followup to the Shelter Island Conference, this is where Julian Schwinger and Richard Feynman exposed their theories to explain the experiments of the previous conference.

Julian made a formal presentation that took until the afternoon and bored everyone to death, though the mathematics avoided much questioning.

Feynman then presented his revolutionary approach, which he was unable to prove basic properties of, but which gave correct results, and people were not very happy.

1926 translation A. D. Cowper: www.maths.usyd.edu.au/u/UG/SM/MATH3075/r/Einstein_1905.pdf

The photoelectric effect paper.