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I’m Max, a Web Designer and AI enthusiast.
I’m Max, a Web Designer and AI enthusiast.
BORING! Look at this nebula with an eye
Comet C/2022 E3 (ZTF) was discovered by astronomers using the wide-field survey camera at the Zwicky Transient Facility this year in early March. Since then the new long-period comet has brightened substantially and is now sweeping across the northern constellation Corona Borealis in predawn skies. It's still too dim to see without a telescope though. But this fine telescopic image from December 19 does show the comet's brighter greenish coma, short broad dust tail, and long faint ion tail stretching across a 2.5 degree wide field-of-view. On a voyage through the inner Solar System comet 2022 E3 will be at perihelion, its closest to the Sun, in the new year on January 12 and at perigee, its closest to our fair planet, on February 1. The brightness of comets is notoriously unpredictable, but by then C/2022 E3 (ZTF) could become only just visible to the eye in dark night skies.
The Pallas's cat is estimated to have genetically diverged from a common ancestor with the genus Prionailurus between 8.55 to 4.8 million years ago based on analysis of nuclear DNA. They are very cute and fluffy but they are actually a small and wild species and they prefer to be alone.
2018 will be 5 years ago and we will be closer to 2040 than 2002 🤯
scriptegy is demonic christmas carols
A perceptron is the simplest subtype of AI.
The perceptron works like so ^
We have 3 inputs x, 3 coresponding weights w, and the output y.
Let’s say the inputs are: 1, 0, 1
And the weights are: 0.9, 0.14, 0.15
Weights are basically how important their inputs are
We now add all inputs multiplied by their weights
And the threshold can be calculated by (numberofinputs * numberofinputs) / 10, so in this case: it’s 0.9
Then, the activation function, which we set the y to: if the sum is over the threshold, we return 1, otherwise we return 0,
and that is a perceptron
In javascript:
var x = [1, 0, 0]
var w = []
// random weights
for (let i in x) w.push(Math.random())
// sum
var y = 0;
for (let i in x) y = y + x[i] * w[i]
// threshold
var threshold = (x.length * x.length) / 10
// activation
y = y > threshold ? 1 : 0