NYC  SF        Events   Jobs   Deals  
    Sign in  
 
 
NYC Tech
Events Weekly Newsletter!
*
 
COMING UP

SF Climate Week
(Apr 18 - Apr 27)

NY FinTech Week
(Apr 21 - Apr 24)

NY Space Week
(Apr 28 - May 02)

Farcon NYC
(Apr 30 - May 04)

NY Tech Week
(May 31 - Jun 08)
 
 
 
 
 
 
 
 
 
 
 
 
 
Alphabet City Beer Co, 96 Ave C
Mar 12 (Wed) , 2025 @ 07:00 PM
FREE
 
Register
 
 

 
DETAILS

The subject of the last Meetup was applying Machine Learning to mtDNA, & in this event, I'll show you how to apply Machine Learning to a wider set of problems in the sciences, including physics, & reconstructing order, when no time information is available.

Though the subject is very different from mtDNA, the ideas are relatively similar, in that Machine Learning is much more than prediction, & is instead a fundamental tool of the scientific method.

This will allow us to understand how people are creating "generative A.I." videos & images, but we'll be taking a rigorous, mathematical approach, to what is a very serious topic, rather than trying to generate memes.

In fact, we'll prove mathematically that a Turing Machine (i.e., a computer), cannot generate information, & can only manipulate a constant amount of information, or destroy information, forcing the question of whether generative A.I. is by definition infringement.

I'll also discuss actual Artificial Intelligence, specifically, optimization, & how this differs from Machine Learning. I'll introduce a generalized optimization algorithm I developed that can balance weights, sort a list, or interpolate a polynomial, all without any specialization, suggesting the possibility of universally intelligent machines.

Slides will be coming soon, for now see Section 2.4 of my paper, "Vectorized Machine Learning" for the core physics ML algorithms.
 
 
 
 
About    Feedback    Press    Terms    Gary's Red Tie
 
© 2025 GarysGuide