We have a lot to thank neurobiologists and neuroscientists for the #deeplearning revolution. A LOT!
In my lectures about #computervision you've heard me talk about the famous cat experiment by Torsten Wiesel and David Hubel.
Here they are with Stephen Kuffler (left) at the Department of Neurobiology at Harvard Medical School which was founded in 1966.
Source: Harvard Medical School.
PS: My 10 min lectures will go a bit into detail about the experiments and what they mean.
#artificiallintelligence #aiplaybook #research
In my lectures about #computervision you've heard me talk about the famous cat experiment by Torsten Wiesel and David Hubel.
Here they are with Stephen Kuffler (left) at the Department of Neurobiology at Harvard Medical School which was founded in 1966.
Source: Harvard Medical School.
PS: My 10 min lectures will go a bit into detail about the experiments and what they mean.
#artificiallintelligence #aiplaybook #research
ArtificialIntelligenceArticles
We have a lot to thank neurobiologists and neuroscientists for the #deeplearning revolution. A LOT! In my lectures about #computervision you've heard me talk about the famous cat experiment by Torsten Wiesel and David Hubel. Here they are with Stephen Kuffler…
If you're interested then do read their 1962 paper on "Receptive fields, binocular interaction and functional architecture in the cat's visual cortex" https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1359523/?page=1
PubMed Central (PMC)
Receptive fields, binocular interaction and functional architecture in the cat's visual cortex
Training Agents using Upside-Down Reinforcement Learning
Srivastava et al.: https://arxiv.org/abs/1912.02877
#MachineLearning #ArtificialIntelligence #Robotics
Srivastava et al.: https://arxiv.org/abs/1912.02877
#MachineLearning #ArtificialIntelligence #Robotics
NeurIPS 2019 Paper Awards
Neural Information Processing Systems Conference : https://medium.com/@NeurIPSConf/neurips-2019-paper-awards-807e41d0c1e
#ArtificialIntelligence #NeurIPS #NeurIPS2019
Neural Information Processing Systems Conference : https://medium.com/@NeurIPSConf/neurips-2019-paper-awards-807e41d0c1e
#ArtificialIntelligence #NeurIPS #NeurIPS2019
Medium
NeurIPS 2019 Paper Awards
With this blog post, it is our pleasure to unveil the NeurIPS paper awards for 2019, and share more information on the selection process…
Amazing results applying transformers to symbolic function integration and differential equations solving by Guillaume Lample and François Charton from FAIR-Paris.
Succeeds in many cases where Mathematica fails.
Paper: https://arxiv.org/abs/1912.01412
Succeeds in many cases where Mathematica fails.
Paper: https://arxiv.org/abs/1912.01412
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One
Grathwohl et al.: https://arxiv.org/abs/1912.03263
#ArtificialIntelligence #DeepLearning #MachineLearning
Grathwohl et al.: https://arxiv.org/abs/1912.03263
#ArtificialIntelligence #DeepLearning #MachineLearning
The good old days... 😊
BYTE Magazine, April 1985.
Special issue on Artificial Intelligence featuring articles by Marvin Minsky, Geoffrey E. Hinton, Patrick H. Winston, Carl Hewitt, Roger Schank, Dana E. Ballard, Jerome A. Feldman, Chris Brown and several others.
Dana, Jerry and Chris were all professors of mine at the University of Rochester where I was an undergraduate at the time.
I haven't reread the articles yet, but I'm really curious to see what "Brain-like networks" are all about. :-)
BYTE Magazine, April 1985.
Special issue on Artificial Intelligence featuring articles by Marvin Minsky, Geoffrey E. Hinton, Patrick H. Winston, Carl Hewitt, Roger Schank, Dana E. Ballard, Jerome A. Feldman, Chris Brown and several others.
Dana, Jerry and Chris were all professors of mine at the University of Rochester where I was an undergraduate at the time.
I haven't reread the articles yet, but I'm really curious to see what "Brain-like networks" are all about. :-)
IT-2025
IT INNOVATION & EXCELLENCE
AWARDS 2019
Theme : Business Transformation using Cognitive and Emerging Technologies
https://www.csimumbai.org/it2025-19/
IT INNOVATION & EXCELLENCE
AWARDS 2019
Theme : Business Transformation using Cognitive and Emerging Technologies
https://www.csimumbai.org/it2025-19/
Top 10 Free Deep Learning Massive Open Online Courses
https://edgy.app/top-10-free-deep-learning-massive-open-online-courses?pfrom=tech&fp=a7&es_p=10715196
https://edgy.app/top-10-free-deep-learning-massive-open-online-courses?pfrom=tech&fp=a7&es_p=10715196
EDGY_ Labs
Top 10 Free Deep Learning Massive Open Online Courses
To compile this top 10 free deep learning massive open online courses, we explored the MOOCs (Massive Open Online Courses) offered by top universities, colleges, and leading tech companies. Dedicated to beginners, intermediate, and advanced learners, and…
The Generative Deep Learning Book
A great book, by David Foster : https://www.mechatroniclib.com/2019/12/generative-deep-learning-teaching.html?fbclid=IwAR2pjzFjwuN8qIyEaB8DL6_DaRdAFFh92klL5qUbxKurigNsyUP9-axQmxM
A great book, by David Foster : https://www.mechatroniclib.com/2019/12/generative-deep-learning-teaching.html?fbclid=IwAR2pjzFjwuN8qIyEaB8DL6_DaRdAFFh92klL5qUbxKurigNsyUP9-axQmxM
"Interpretable comparison of distributions and models"
Arthur Gretton, Dougal Sutherland, Wittawat Jitkrittum
Slides :
Part 1: https://gatsby.ucl.ac.uk/~gretton/papers/neurips19_1.pdf
Part 2: https://gatsby.ucl.ac.uk/~gretton/papers/neurips19_2.pdf
Part 3: https://gatsby.ucl.ac.uk/~gretton/papers/neurips19_3.pdf
#ArtificialIntelligence #MachineLearning #NeurIPS2019
Arthur Gretton, Dougal Sutherland, Wittawat Jitkrittum
Slides :
Part 1: https://gatsby.ucl.ac.uk/~gretton/papers/neurips19_1.pdf
Part 2: https://gatsby.ucl.ac.uk/~gretton/papers/neurips19_2.pdf
Part 3: https://gatsby.ucl.ac.uk/~gretton/papers/neurips19_3.pdf
#ArtificialIntelligence #MachineLearning #NeurIPS2019
NVIDIA’s Top 10 AI Research Papers of 2019 https://news.developer.nvidia.com/nvidias-top-10-ai-developer-stories-of-2019/
#NeurIPS2019_2019-12-09_19-49-34.xlsx
View an interactive version of this graph (experimental) https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=218538
View an interactive version of this graph (experimental) https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=218538
100 Best Coursera Courses, Specializations, Classes, Certifications, and Training Online 2020icon
https://www.jadirectives.com/best-coursera-courses-certifications-specializations/#3_Coursera_Courses_for_Data_Science_Specialization
https://www.jadirectives.com/best-coursera-courses-certifications-specializations/#3_Coursera_Courses_for_Data_Science_Specialization
JA Directives
100+ Best Coursera Courses, Specializations, Classes & Certifications 2023
Are you looking Best Free Coursera Courses 2023? Grab the list of Best Coursera Specializations & Certifications online in one place
Yoshua Bengio talks about what's next for deep learning
@ArtificialIntelligenceArticles
omorrow at NeurIPS, Yoshua Bengio will propose ways for deep learning to handle "reasoning, planning, capturing causality and obtaining systematic generalization." He spoke to IEEE Spectrum on many of the same topics.
@ArtificialIntelligenceArticles
https://spectrum.ieee.org/tech-talk/robotics/artificial-intelligence/yoshua-bengio-revered-architect-of-ai-has-some-ideas-about-what-to-build-next
@ArtificialIntelligenceArticles
@ArtificialIntelligenceArticles
omorrow at NeurIPS, Yoshua Bengio will propose ways for deep learning to handle "reasoning, planning, capturing causality and obtaining systematic generalization." He spoke to IEEE Spectrum on many of the same topics.
@ArtificialIntelligenceArticles
https://spectrum.ieee.org/tech-talk/robotics/artificial-intelligence/yoshua-bengio-revered-architect-of-ai-has-some-ideas-about-what-to-build-next
@ArtificialIntelligenceArticles
Putting An End to End-to-End: Gradient-Isolated Learning of Representations
Lowe et al.: https://arxiv.org/abs/1905.11786
#MachineLearning #DeepLearning #ArtificialIntelligence
Lowe et al.: https://arxiv.org/abs/1905.11786
#MachineLearning #DeepLearning #ArtificialIntelligence