Deep Learning for Symbolic Mathematics
https://arxiv.org/abs/1912.01412v1
https://arxiv.org/abs/1912.01412v1
ArtificialIntelligenceArticles
Deep Learning for Symbolic Mathematics https://arxiv.org/abs/1912.01412v1
Deep Learning for Symbolic Mathematics
Authors show that ANN can be surprisingly good at more elaborated tasks in mathematics, such as symbolic integration and solving differential equations.
#neuralnetworks #deeplearning #mathematics #math #matlab
https://arxiv.org/abs/1912.01412
Authors show that ANN can be surprisingly good at more elaborated tasks in mathematics, such as symbolic integration and solving differential equations.
#neuralnetworks #deeplearning #mathematics #math #matlab
https://arxiv.org/abs/1912.01412
Dream to Control: Learning Behaviors by Latent Imagination
https://arxiv.org/abs/1912.01603v1
https://arxiv.org/abs/1912.01603v1
When Does Label Smoothing Help? by Geoffrey Hinton , Rafael Müller, Simon Kornblith, https://arxiv.org/abs/1906.02629
arXiv.org
When Does Label Smoothing Help?
The generalization and learning speed of a multi-class neural network can often be significantly improved by using soft targets that are a weighted average of the hard targets and the uniform...
Deep learning in The Brain : https://goo.gl/oqUXqV @ArtificialIntelligenceArticles
Reinforcement Learning for Market Making in a Multi-agent Dealer Market
https://arxiv.org/abs/1911.05892
https://arxiv.org/abs/1911.05892
It’s a no-brainer! Deep learning for brain MR images
https://medium.com/stanford-ai-for-healthcare/its-a-no-brainer-deep-learning-for-brain-mr-images-f60116397472
https://medium.com/stanford-ai-for-healthcare/its-a-no-brainer-deep-learning-for-brain-mr-images-f60116397472
Medium
It’s a no-brainer! Deep learning for brain MR images
Written by Atli Kosson and Henrik Marklund
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/