|Here's Dibs on Humans Intelligence AI learning starters for kids and mentors:
-- under 7,
11 and plus -
NOFAKEFACES PLEASE - part 2 plus debate over fame vs privacy -eg EconomistSports.net
For those who want to change maths at whatever age you can -see 4 N's (Nets)
(gwiz and thought english was my mother tongue)
please help us update dibs on age-sensitive AIgood Bard tells me Neural Network was named as maths model for brain in 1943 (see footnote)
Fei-Fei Li coined the term "HAI" or Human-centric AI. in a mooc 2017 AI for Everyone: Succeeding in the Age .
She likely coined these terms - in her mooc deep learning" use of artificial neural networks to learn from data.
Transfer learning is a technique that allows a neural network trained on one task to be used for another task.
Zero-shot learning is a technique that allows a neural network to learn to classify images of objects that it has never seen before.
From The Economist's change of decade70s/80s wishes
- what the world needs now is for the greatest female
mathematician's star to be born
Fast forward AIGames 2023 - see worlds of greatest
female intelligence stars orbiting round fei-fei li at
John von Neumann was a Hungarian-American mathematician and physicist who is considered to be one of the founders of computer science. He wrote a paper in 1958 titled "The Computer and the Brain" in which he discussed the similarities between computers and the human brain. In this paper, he proposed that neural networks could be used to create artificial intelligence.
Alan Turing was an English mathematician and computer scientist who is considered to be the father of theoretical computer science and artificial intelligence. He wrote a paper in 1950 titled "Computing Machinery and Intelligence" in which he proposed the Turing test, which is a test of a machine's ability to exhibit intelligent behavior equivalent to, or indistinguishable from, that of a human. In this paper, he also discussed the possibility of creating artificial neural networks.
However, it is important to note that neither von Neumann nor Turing actually built a neural network. The first neural network was built in 1958 by Frank Rosenblatt, who called his neural network the perceptron.
- Generative adversarial networks (GANs) are a type of neural network that can generate new data. GANs consist of two neural networks: a generator and a discriminator. The generator is responsible for generating new data, and the discriminator is responsible for distinguishing between real and fake data.
The name "generative adversarial" comes from the fact that the generator and discriminator are in a constant battle with each other. The generator is trying to create data that is so realistic that the discriminator cannot tell the difference between it and real data. The discriminator is trying to learn to distinguish between real and fake data.
The names for these three types of neural networks were chosen by different people. The name "convolutional neural network" was coined by Yann LeCun in 1989. The name "recurrent neural network" was coined by David Rumelhart and James McClelland in 1986. The name "generative adversarial network" was coined by Ian Goodfellow, Yoshua Bengio, and Aaron Courville in 2014.