09.1 Dr Fei-Fei Li (FFL) 1 arrives from Princeton at Stanford - she's probably first mathematician in 50 years to emulate Neumann-Einstein-Turing but she would never claim that- she begins annual open vision computer deep learning competition imagenet: her doctorate blends neuroscience and computing in new to 21st c world idea :if we train computers to see we can ask them to solve challenges they see all around humans without most of traditional computer programing
09.2 At Stanford Andrew Ng best teacher 92.23 founder of Mooc, also AIfund and Stanford's Mr coding greets FFL
09.3 at Stanford Jerty Yang who has sold yahoo now investing in us-asia graduates stanford as well as clouds etc
09.4 Hassabis comes from london - exchanges theses with FFL; the two set forth to change world with best ai; 2011 Hasabis gets funds to launch deepmind company; merges with google 2014 ; leads world in science ai; eg alphfold2 translates ability as world champion at go to mapping 200000 proteins donated in an open databank saving biotech millions of years of work
11.1 Jefffrey Dean 1 2 founds google brain - now sister towns mountain view and stanford (palo alto) ready for humanity's ost exciting race with intelligence
12.1 Yan Lecun'1989 mathematical theory of Convolutional Neural Networks becomes practice core of 2012 contributions by canadians 12.2 Alex Krizhevsky, 12.3 Ilya Sutskever (in 2015 co-founder open ai), and 12.4 Geoffrey Hinton, Aluxnet emerges as a lead entry of imagenet 2012 - CNN beomes a key framework of the new ai
12.5 ai in education starts being debated at Sheika Moza global education laureates which are founded with alumni of fazle abed as well as her building of women ed city and university campus and refugee edu epicentre educationaboveall - several asian countries start discussing ai as a k-12 literacy (the idea being that kindergarten teachers up are part of visioning ai as a lens to 21st c tech current affairs and future generation)
13.1 Jim Kim at world bank is first multilateral leader to talk about how can ai help- his persistence transfers to Guterres
13.2 Ms Clara Wu Tsai HU0 1 2 (Stanford alumn 88, Brooklyn Resident 1 2 3) lead funder of Stanford Neuroscience building; also Yale Neuroscience; Many Brooklyn foundations & sports- racial justice 50mn previously HK
13.1 Jim Kim at world bank is first multilateral leader to talk about how can ai help- his persistence transfers to Guterres
13.2 Ms Clara Wu Tsai HU0 1 2 (Stanford alumn 88, Brooklyn Resident 1 2 3) lead funder of Stanford Neuroscience building; also Yale Neuroscience; Many Brooklyn foundations & sports- racial justice 50mn previously HK
15.1 open ai starts as a foundation with 10 mn $ funding by Elon Musk; around 2018 Musk leaves so as not to cause coflict with his ai research at spacex and tesla; in 2019 foundation openai controversially becomes a corporate ipoand origin of chatgpt
17.1 Guterres
17.2 Melinda Gates
17.3 ceo nvidia jensen huang (1) helps co-found ai-4-all.org with melinda gates- schools curriculum edited by fei-fei li ai-4=all.org including ai dance for 7 year olds up- see range of 10 currcula and intent to mentor high school engineering girls into good ai college pathways<br>
17.1 Guterres
17.2 Melinda Gates
17.3 ceo nvidia jensen huang (1) helps co-found ai-4-all.org with melinda gates- schools curriculum edited by fei-fei li ai-4=all.org including ai dance for 7 year olds up- see range of 10 currcula and intent to mentor high school engineering girls into good ai college pathways<br>
- i am really not sure a person should be in education (or public service) from now on if they are not aware of these <a href="https://ai-4-all.org/resources/">first 10 ai modules</a> - i am not saying mos schools need to eg teach neural networks but they will be in the middle of ever innovation that improves millennials lives and the peculiar thing as a neuroscience idea NN began in the 1940s and was on v neumann's last lectures wishlist of future of computer and the brain- go to 21 fr next leap as Hassabis' deepmindscvracks 200000 protein codes now open sourced; and brand news labs for neuroscientists - mrs tsai building stanford with czi making this one o3 regional zones of biohub dunding and ai2 in seattle another ai biotech leader<br>
*ai kindergarten up can do ai dance and ai drawing
*ai ten year olds up can do ethics and nature
*anyone who decides their life is going to be in tech, maths on engieerin can start on the ai of Neural Networks 1 NN 2 CNN 3 RAN 4 BAN
17.4 stanford alumni/google leaders
17.5 Paul Allen foundation AI2 etioni
those who have sposored labs etc on campus give first chance to join launches of stanford hai -see eg 17.6 hoffman- ai projects comoetition with yee
17.7 prscilla chan czi lab stanford plus 2
17.8 nobel chemist jennifer doudno gene databank - ffl and jennifer become good friends comparing similarities in their work
17.4 stanford alumni/google leaders
17.5 Paul Allen foundation AI2 etioni
those who have sposored labs etc on campus give first chance to join launches of stanford hai -see eg 17.6 hoffman- ai projects comoetition with yee
17.7 prscilla chan czi lab stanford plus 2
17.8 nobel chemist jennifer doudno gene databank - ffl and jennifer become good friends comparing similarities in their work
18.1 Lila Ibrahim moves from Coursera to be COO at London Deep Mind
19 it feels like 30+ billionaires joined in launch stanford HAI - more details coming soon-
19.1 linkedin hoffman early to funding with yee student ai pitches- also
see his review of Melinda Gates opening momentsoflift
see his review of Melinda Gates opening momentsoflift
21 everything is converging on biotech with deepmind protein database alphafold2, stanford (tsai building) from 13.2 neuroscientists now have their own space - 21.1Ada poon connects tsai, czi and stanford engineering with devices relevant to data collection ai health
23 another giant leap for education - who'd want to school where teachers not aware of melinda gates 4 book library - empowering womens intelligence; and giant convergence of HAI as hassabis deep mind london merges with google brain
23 another giant leap for education - who'd want to school where teachers not aware of melinda gates 4 book library - empowering womens intelligence; and giant convergence of HAI as hassabis deep mind london merges with google brain
Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton are three of the most influential people in the field of artificial intelligence. They are best known for their work on convolutional neural networks (CNNs), which are a type of machine learning algorithm that is widely used in image recognition and computer vision.
ReplyDeleteIn 2012, Krizhevsky, Sutskever, and Hinton entered the ImageNet Large Scale Visual Recognition Challenge, a competition to develop a computer algorithm that could accurately identify objects in images. Their algorithm, called AlexNet, won the competition by a large margin, and it is considered to be a landmark achievement in the field of AI.
Since then, Krizhevsky, Sutskever, and Hinton have continued to work on CNNs and other AI technologies. Krizhevsky is now a research scientist at Google AI, Sutskever is the co-founder and chief scientist of OpenAI, and Hinton is a professor emeritus at the University of Toronto.
Here is a brief overview of what each of these three people has done in the past 11 years:
Alex Krizhevsky: After winning the ImageNet Large Scale Visual Recognition Challenge, Krizhevsky joined Google AI, where he has worked on a number of projects, including developing new CNN architectures and improving the performance of CNNs on large datasets. He is also the co-author of the book "Deep Learning."
Ilya Sutskever: After winning the ImageNet Large Scale Visual Reinforcement Learning Challenge, Sutskever co-founded OpenAI, a non-profit research laboratory that is dedicated to developing safe and beneficial artificial general intelligence. He is also the co-author of the paper "Learning to Generate Text with Differentiable Neural Networks," which introduced the Transformer model, which is now widely used in natural language processing.
Geoffrey Hinton: After winning the ImageNet Large Scale Visual Recognition Challenge, Hinton continued his research on CNNs and other AI technologies. He has published numerous papers on AI, and he is considered to be one of the leading experts in the field. In 2018, he was awarded the Turing Award, which is the highest honor in computer science.
It is difficult to say definitively why Hinton is now the most famous of the three. He is likely the most famous because he is the oldest and most experienced of the three, and he has a long track record of pioneering research in AI. He is also the only one of the three who has won the Turing Award.
However, it is important to note that all three of these individuals have made significant contributions to the field of AI. They are all pioneers in the field of CNNs, and their work has had a major impact on the development of AI technologies