Neural gas is an artificial neural network, inspired by the self-organizing map and introduced in 1991 by Thomas Martinetz and Klaus Schulten. The neural gas is a simple algorithm for finding optimal data representations based on feature vectors. The algorithm was coined "neural gas" because of the dynamics of the feature vectors during the adaptation process, which distribute themselves like a gas within the data space. It is applied where data compression or vector quantization is an issue, for example speech recognition, image processing or pattern recognition. As a robustly converging alternative to the k-means clustering it is also used for cluster analysis. (Wikipedia).
IDEAL GAS - a quick definition
A quick definition of an ideal gas. Chem Fairy: Louise McCartney Director: Michael Harrison Written and Produced by Kimberly Hatch Harrison ♦♦♦♦♦♦♦♦♦♦ Ways to support our channel: ► Join our Patreon : https://www.patreon.com/socratica ► Make a one-time PayPal donation: https://www.pa
From playlist Chemistry glossary
Show Me Some Science! The Greenhouse Effect
What makes a gas a "Greenhouse Gas"? Little Shop of Physics investigates different gasses with a thermal camera to see if they radiate thermal radiation. Water, carbon dioxide and diflouroethane are greenhouse gasses. Air (mostly nitrogen and oxygen) are not.
From playlist Show Me Some Science!
Physics - Thermodynamics 2: Ch 32.1 Def. and Terms (9 of 23) What is the Gas Constant?
Visit http://ilectureonline.com for more math and science lectures! In this video I will give and explain what is the gas constant and how it was determined. Next video in this series can be seen at: https://youtu.be/8N8TN0L5xiQ
From playlist PHYSICS 32.1 THERMODYNAMICS 2 BASIC TERMS
Physics - Thermodynamics: States: (5 of 10) Ideal Gas Equation
Visit http://ilectureonline.com for more math and science lectures! In this video I will explain and show you how to find temperature using the ideal gas equation. Next video in this series can be seen at: https://youtu.be/SUzaH162LY4
From playlist PHYSICS - THERMODYNAMICS
Kinematics of Circumgalactic Gas - Crystal Martin
https://www.sns.ias.edu/astrophysics/seminars/colloquium/kinematics-circumgalactic-gas More videos on http://video.ias.edu
From playlist Natural Sciences
Chemistry of Gases (12 of 40) Density of Gases: Basic
Visit http://ilectureonline.com for more math and science lectures! In this video I will show you how to find the density of a gas using the ideal gas equation.
From playlist CHEMISTRY 10 THE CHEMISTRY OF GASES
Internal Energy of an Ideal Gas - Molar Heat Capacity of Monatomic & Diatomic Gases, Gamma Ratio,
This physics video tutorial explains how to calculate the internal energy of an ideal gas - this includes monatomic gases and diatomic gases. You need to know how to calculate the molar heat capacity of a gas especially if you're given the gamma ratio of a gas. This thermodynamics video
From playlist New Physics Video Playlist
Chemistry of Gases (13 of 40) Density of Gases: Other Forms
Visit http://ilectureonline.com for more math and science lectures! In this video I will show you how to find the density (in forms of n/V or N/V) of a gas using the ideal gas equation.
From playlist CHEMISTRY 10 THE CHEMISTRY OF GASES
How to Make Hydrogen Gas - Clean Burning, Inexpensive, Lighter than Air!
Stay tuned until the end of the video for a demonstration of hydrogen's lifting properties and several large explosions! This is a demonstration of a purely chemical process to produce large quantities of hydrogen gas from common, inexpensive chemicals. Hydrogen is a highly esteemed alter
From playlist Science & Experiments
Sensing to Intelligence: From Human Body to Black Holes in Space / Caltech Seminar Day Session II
Caltech professors Azita Emami and Katherine Bouman discussed a holistic approach that brings together the two distinct fields of sensor technology and artificial intelligence through the co-design of sensors and algorithms. The aim is to create sensor networks that intelligently and auton
From playlist Caltech Seminar Day Online
Stanford CS330: Multi-Task and Meta-Learning, 2019 | Lecture 10 - Jeff Clune (Uber AI Labs)
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai Jeff Clune (Uber AI Labs) Guest Lecture in Stanford CS330 http://cs330.stanford.edu/
From playlist Stanford CS330: Deep Multi-Task and Meta Learning
Aiichiro Nakano - Quantum Material Dynamics at Nexus of Exascale Computing, AI, & Quantum Computing
Recorded 27 March 2023. Aiichiro Nakano of the University of Southern California presents "Quantum Materials Dynamics at the Nexus of Exascale Computing, Artificial Intelligence, and Quantum Computing" at IPAM's Increasing the Length, Time, and Accuracy of Materials Modeling Using Exascale
From playlist 2023 Increasing the Length, Time, and Accuracy of Materials Modeling Using Exascale Computing
Wei Kang: "Data Development and Deep Learning for HJB Equations"
High Dimensional Hamilton-Jacobi PDEs 2020 Workshop I: High Dimensional Hamilton-Jacobi Methods in Control and Differential Games "Data Development and Deep Learning for HJB Equations" Wei Kang, Naval Postgraduate School Abstract: Recent research reveals that deep learning is an effectiv
From playlist High Dimensional Hamilton-Jacobi PDEs 2020
Marie-Ingrid Richard - Structural evolution of nanoparticles observed with Bragg coherent x-ray
Recorded 12 October 2022. Marie-Ingrid Richard of the Commissariat à l'Énergie Atomique (CEA) presents "Structural evolution of nanoparticles under realistic conditions observed with Bragg coherent x-ray imaging" at IPAM's Diffractive Imaging with Phase Retrieval Workshop. Abstract: The ad
From playlist 2022 Diffractive Imaging with Phase Retrieval - - Computational Microscopy
Katie Bouman - Capturing the First Portrait of Our Milky Way's Black Hole & Beyond - IPAM at UCLA
Recorded 12 October 2022. Katie Bouman of the California Institute of Technology presents "Capturing the First Portrait of Our Milky Way's Black Hole & Beyond" at IPAM's Diffractive Imaging with Phase Retrieval Workshop. Abstract: This talk will present the methods and procedures used to p
From playlist 2022 Diffractive Imaging with Phase Retrieval - - Computational Microscopy
Emergent Causation & the Philosophy of Mind
Professor David Papineau discusses the nature of mind and the problem of causation in a 2014 talk at the Institute of Advanced Study, University of Durham. #Philosophy #Consciousness #Mind
From playlist Philosophy of Mind
DDPS | Machine Learning and Multi-scale Modeling
Description: Multi-scale modeling is an ambitious program that aims at unifying the different physical models at different scales for the practical purpose of developing accurate models and simulation protocols for properties of interest. Although the concept of multi-scale modeling is ver
From playlist Data-driven Physical Simulations (DDPS) Seminar Series
Non-Ideal Gases and the Van der Waals Equation
We learned about ideal gases, as well as kinetic molecular theory, which explains the laws that govern ideal gases. But some of the postulates of this theory won't always hold true. When a gas is highly pressurized and/or very cold, it will deviate from ideal gas behavior. Why might this b
From playlist General Chemistry
A. I. Learns to Play Starcraft 2 (Reinforcement Learning)
Tinkering with reinforcement learning via Stable Baselines 3 and Starcraft 2. Code and model: https://github.com/Sentdex/SC2RL Stable Baselines 3 tutorial: https://pythonprogramming.net/introduction-reinforcement-learning-stable-baselines-3-tutorial/ Neural Networks from Scratch book: h
From playlist Starcraft 2 AI