Entropy in thermodynamics and information theory | Wikipedia audio article
Channel: wikipedia tts
Date: 2018-12-29

This is an audio version of the Wikipedia Article:
https://en.wikipedia.org/wiki/Entropy_in_thermodynamics_and_information_theory


00:00:51 1 Equivalence of form of the defining expressions
00:03:18 2 Theoretical relationship
00:07:42 3 Information is physical
00:12:50 3.1 Szilard's engine
00:13:36 3.2 Landauer's principle
00:14:33 4 Negentropy
00:14:43 5 Black holes
00:17:21 6 Quantum theory
00:20:02 7 The fluctuation theorem
00:24:07 8 Criticism
00:24:44 9 Topics of recent research
00:26:42 9.1 Is information quantized?
00:27:13 9.2 Extracting work from quantum information in a Szilárd engine
00:31:47 9.3 Algorithmic cooling
00:34:56 10 See also
00:35:07 11 References
00:36:50 12 Additional references
00:37:22 13 External links



Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago.

Learning by listening is a great way to:
- increases imagination and understanding
- improves your listening skills
- improves your own spoken accent
- learn while on the move
- reduce eye strain

Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone.

Listen on Google Assistant through Extra Audio:
https://assistant.google.com/services/invoke/uid/0000001a130b3f91
Other Wikipedia audio articles at:
https://www.youtube.com/results?search_query=wikipedia+tts
Upload your own Wikipedia articles through:
https://github.com/nodef/wikipedia-tts
Speaking Rate: 0.706424151127916
Voice name: en-AU-Wavenet-A


"I cannot teach anybody anything, I can only make them think."
- Socrates


SUMMARY
=======
There are close parallels between the mathematical expressions for the thermodynamic entropy, usually denoted by S, of a physical system in the statistical thermodynamics established by Ludwig Boltzmann and J. Willard Gibbs in the 1870s, and the information-theoretic entropy, usually expressed as H, of Claude Shannon and Ralph Hartley developed in the 1940s. Shannon commented on the similarity upon publicizing information theory in A Mathematical Theory of Communication.
This article explores what links there are between the two concepts, and how far they can be regarded as connected.