Archive for the '–' Category

Bernard Widrow – Wikipedia

April 21, 2025

https://en.wikipedia.org/wiki/Bernard_Widrow

ADALINE – Wikipedia

April 21, 2025

https://en.wikipedia.org/wiki/ADALINE

Great book about an overlooked mode of disease transmission, now prominent because of the pandemic

April 21, 2025

https://www.amazon.com/review/RWK61VE816IO6/ref=cm_cr_srp_d_rdp_perm?ie=UTF8
MG Amazon Review

Norbert Wiener – Wikipedia

April 21, 2025

https://en.wikipedia.org/wiki/Norbert_Wiener#cite_note-14

‘The White Lotus’ in Thailand: Season three shoot locations | CNN

April 20, 2025

https://www.cnn.com/travel/thailand-white-lotus-season-3-locations-intl-hnk/index.html

gen ai book

April 20, 2025

Generative Deep Learning: teaching machines to paint, write, compose, and play: Foster, David: 9781492041948: Amazon.com: Books. (n.d.). https://www.amazon.com/Generative-Deep-Learning-Teaching-Machines/dp/1492041947

World Model page 331
Variational Autoencoders page 59

Astronomers Detect a Signature of Life on a Distant Planet – The New York Times

April 20, 2025

https://www.nytimes.com/2025/04/16/science/astronomy-exoplanets-habitable-k218b.html

has dimethyl sulfide

Perceptron – Wikipedia

April 20, 2025

https://en.wikipedia.org/wiki/Perceptron#:~:text=For%20a%20single%2Dlayer%20perceptron%20with%20multiple%20output%20units%2C%20since,as%20backpropagation%20must%20be%20used.

original algo
QT:{{”
Initialize the weights. Weights may be initialized to 0 or to a small random value. In the example below, we use 0.
For each example j in our training set D, perform the following steps over the input xj and desired output dj:

Calculate the actual
output:yj(t)=f[w(t)⋅xj]=f[w0(t)xj,0+w1(t)xj,1+w2(t)xj,2+⋯+wn(t)xj,n] Update the weights:wi(t+1)=wi(t)+r⋅(dj−yj(t))xj,i, for all features 0≤i≤n, r is the learning rate.
“}}

Hamilton Walk – Wikipedia

April 20, 2025

https://en.wikipedia.org/wiki/Hamilton_Walk

Verogen | The Future of Forensic Genomics and DNA Sequencing

April 15, 2025

https://verogen.com/