Neural network reconstructs human thoughts from brain waves in real time
https://techxplore.com/news/2019-10-neural-network-reconstructs-human-thoughts.html
https://techxplore.com/news/2019-10-neural-network-reconstructs-human-thoughts.html
Tech Xplore
Neural network reconstructs human thoughts from brain waves in real time
Researchers from Russian corporation Neurobotics and the Moscow Institute of Physics and Technology have found a way to visualize a person's brain activity as actual images mimicking what they observe ...
New paper from Geoffry Hinton
NASA: Neural Articulated Shape Approximation. Timothy Jeruzalski, Boyang Deng, Mohammad Norouzi, JP Lewis, Geoffrey Hinton, and Andrea Tagliasacchi
arxiv.org/abs/1912.03207
@ArtificialIntelligenceArticles
NASA: Neural Articulated Shape Approximation. Timothy Jeruzalski, Boyang Deng, Mohammad Norouzi, JP Lewis, Geoffrey Hinton, and Andrea Tagliasacchi
arxiv.org/abs/1912.03207
@ArtificialIntelligenceArticles
arXiv.org
NASA: Neural Articulated Shape Approximation
Efficient representation of articulated objects such as human bodies is an important problem in computer vision and graphics. To efficiently simulate deformation, existing approaches represent 3D...
how will machine learning transform the neurosciences?
https://nikokriegeskorte.org/2016/10/27/how-will-the-neurosciences-be-transformed-by-machine-learning-and-big-data/
https://nikokriegeskorte.org/2016/10/27/how-will-the-neurosciences-be-transformed-by-machine-learning-and-big-data/
nikokriegeskorte
How will the neurosciences be transformed by machine learning and big data?
[R8I7] Machine learning and statistics have been rapidly advancing in the past decade. Boosted by big data sets, new methods for inference and prediction are transforming many fields of science and…
Postdoctoral Fellow in Bioinformatics, Deep Learning
https://bioinformatics.ca/job-postings/a24301d0-1c3b-11ea-947d-63bc5c89c0f8/#/?&order=desc
https://t.iss.one/ArtificialIntelligenceArticles
https://bioinformatics.ca/job-postings/a24301d0-1c3b-11ea-947d-63bc5c89c0f8/#/?&order=desc
https://t.iss.one/ArtificialIntelligenceArticles
Telegram
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for who have a passion for -
1. #ArtificialIntelligence
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"The International Mathematical Olympiad Grand Challenge"
The challenge: build an AI that can win a gold medal in the competition -- https://imo-grand-challenge.github.io
#ArtificialIntelligence #DeepLearning #Mathematics
The challenge: build an AI that can win a gold medal in the competition -- https://imo-grand-challenge.github.io
#ArtificialIntelligence #DeepLearning #Mathematics
A Beginner's Guide to the Mathematics of Neural Networks
https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.161.3556&rep=rep1&type=pdf
https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.161.3556&rep=rep1&type=pdf
Machine Learning on Graphs @ NeurIPS 2019
https://medium.com/mlreview/machine-learning-on-graphs-neurips-2019-875eecd41069
https://medium.com/mlreview/machine-learning-on-graphs-neurips-2019-875eecd41069
Yoshua Bengio From System 1 Deep Learning to System 2 Deep Learning | NeurIPS 2019
@ArtificialIntelligenceArticles
https://youtu.be/FtUbMG3rlFs
https://t.iss.one/ArtificialIntelligenceArticles
@ArtificialIntelligenceArticles
https://youtu.be/FtUbMG3rlFs
https://t.iss.one/ArtificialIntelligenceArticles
YouTube
Yoshua Bengio | From System 1 Deep Learning to System 2 Deep Learning | NeurIPS 2019
Slides: https://www.iro.umontreal.ca/~bengioy/NeurIPS-11dec2019.pdf
Summary:
Past progress in deep learning has concentrated mostly on learning from a static dataset, mostly for perception tasks and other System 1 tasks which are done intuitively and unconsciously…
Summary:
Past progress in deep learning has concentrated mostly on learning from a static dataset, mostly for perception tasks and other System 1 tasks which are done intuitively and unconsciously…
Analyzed 1k+ Deep Learning Projects on Github and related StackOverflow issues. And interviewed 20 researchers and practitioners
https://arxiv.org/abs/1910.11015
https://t.iss.one/ArtificialIntelligenceArticles
https://arxiv.org/abs/1910.11015
https://t.iss.one/ArtificialIntelligenceArticles
Telegram
ArtificialIntelligenceArticles
for who have a passion for -
1. #ArtificialIntelligence
2. Machine Learning
3. Deep Learning
4. #DataScience
5. #Neuroscience
6. #ResearchPapers
7. Related Courses and Ebooks
1. #ArtificialIntelligence
2. Machine Learning
3. Deep Learning
4. #DataScience
5. #Neuroscience
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Intel buys AI chipmaker Habana for $2 billion
https://techcrunch.com/2019/12/16/intel-buys-ai-chipmaker-habana-for-2-billion/
https://techcrunch.com/2019/12/16/intel-buys-ai-chipmaker-habana-for-2-billion/
TechCrunch
Intel buys AI chipmaker Habana for $2 billion
Intel this morning issued a statement noting that it has picked up Israeli AI chipmaker Habana Labs. The deal, valued at around $2 billion, is the latest piece of some hefty investments in artificial intelligence that include names like Nervana Systems and…
Anomaly Detection - Another Challenge for Artificial Intelligence
https://www.experfy.com/blog/anomaly-detection-another-challenge-for-artificial-intelligence
https://www.experfy.com/blog/anomaly-detection-another-challenge-for-artificial-intelligence
Newtonian Monte Carlo: a second-order gradient method for speeding up MCMC
https://openreview.net/forum?id=SklKcJ3EFH
https://openreview.net/forum?id=SklKcJ3EFH
openreview.net
Newtonian Monte Carlo: a second-order gradient method for speeding...
We present Newtonian Monte Carlo (NMC), a method to improve Markov Chain Monte Carlo (MCMC) convergence by analyzing the first and second order gradients of the target density to determine a...
"Top 100 most discussed academic papers" (across all fields) this year:
Explore the list of the most discussed and shared research of 2019. The world’s climate emergency, vaccinations, and developments in AI all feature heavily in this year’s list. https://www.altmetric.com/top100/ #AltmetricTop100 https://t.iss.one/ArtificialIntelligenceArticles
Explore the list of the most discussed and shared research of 2019. The world’s climate emergency, vaccinations, and developments in AI all feature heavily in this year’s list. https://www.altmetric.com/top100/ #AltmetricTop100 https://t.iss.one/ArtificialIntelligenceArticles
You've spent hours studying AI and building projects. What's the next step? This report from workera company, walks you through the different AI career tracks and the skills recruiters are looking for. Download the report:
https://workera.ai/candidates/report/
https://workera.ai/candidates/report/
Oktoberfest Food Dataset
The data was aquired during Schanzer Almfest at Ingolstadt in 2018 by IlassAG.
Github: https://github.com/a1302z/OktoberfestFoodDataset
Paper: https://arxiv.org/pdf/1912.05007.pdf
Find The Most Updated and Free Datasets of Different Industries including Health, Insurance, Banking etc.https://www.marktechpost.com/data-sets/
The data was aquired during Schanzer Almfest at Ingolstadt in 2018 by IlassAG.
Github: https://github.com/a1302z/OktoberfestFoodDataset
Paper: https://arxiv.org/pdf/1912.05007.pdf
Find The Most Updated and Free Datasets of Different Industries including Health, Insurance, Banking etc.https://www.marktechpost.com/data-sets/
GitHub
GitHub - a1302z/OktoberfestFoodDataset: Publication of our Oktoberfest Food Dataset for Object Detection methods
Publication of our Oktoberfest Food Dataset for Object Detection methods - a1302z/OktoberfestFoodDataset
An interesting new algorithm from DeepMind that aligns agent behaviour with a user's objectives in a reinforcement learning setting with unknown dynamics, an unknown reward function and unknown unsafe states.
Paper: https://arxiv.org/abs/1912.05652
Code: https://github.com/rddy/ReQueST
Paper: https://arxiv.org/abs/1912.05652
Code: https://github.com/rddy/ReQueST
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data
Such et al.: https://arxiv.org/abs/1912.07768
#ArtificialIntelligence #MachineLearning #NeuralNetworks
Such et al.: https://arxiv.org/abs/1912.07768
#ArtificialIntelligence #MachineLearning #NeuralNetworks
arXiv.org
Generative Teaching Networks: Accelerating Neural Architecture...
This paper investigates the intriguing question of whether we can create learning algorithms that automatically generate training data, learning environments, and curricula in order to help AI...