Data mining, statistics, & AI
Analytica provides built-in functions for data exploration and analysis, including quick summaries, descriptive statistics, regression, and Monte Carlo simulation. Here are some example applications that include the implementation of classification trees, artificial intelligence, and multilayer machine learning methods.
Could humans lose control over advanced AI?
Researchers used Analytica's influence diagrams to map out arguments and scenarios exploring risks with artificial intelligence (AI).
Does GPT-4 pass the Turing test?
UCSD researchers conducted an online Turing test of GPT-4 with 652 human participants. Humans were not fooled ~60% of the time.
Latin hypercube vs. Monte Carlo sampling
In a post on LinkedIn, David Vose argues that the advantages of Latin Hypercube sampling (LHS) over Monte Carlo are so minimal that “LHS does not deserve a place in modern...
Crossing frontiers: the dawn of a new era with AI
Celebrate the incredible strides made in artificial intelligence (AI) and machine learning (ML) while also assessing the risks, in the dawn of this new era.
How to update y = m x + b with new data
Abstract: Bayesian linear regression made super easy and intuitive! You arrive in a new city for the first time, and you’ll …
How the strange Cauchy distribution proved useful
On Tuesday I had an interesting exchange with Jorge Muro Arbulú, a professor in Peru, about the Cauchy distribution, which also called the Lorenzian distribution.
An Analytica model that recognizes images
I had a lot of fun building and playing with an Analytica model that analyses the pixels of an image to figure out what it is an image of. It implements the resnet18 model...
AI weekly updates with Lonnie Chrisman
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