Stats 100 Final Cheat Sheets -Fas Harvard
Download: https://people.fas.harvard.edu/~mparzen/stat100/Stat%20100%20Final%20Cheat%20Sheets%20-%20Google%20Docs%20(2).pdf

DanNet
DanNet, the CUDA CNN of Dan Ciresan in Jurgen Schmidhuber's team, won 4 image recognition challenges prior to AlexNet : https://www.reddit.com/r/MachineLearning/comments/dwnuwh/d_dannet_the_cuda_cnn_of_dan_ciresan_in_jurgen/
#ArtificialIntelligence #DeepLearning #MachineLearning

Elon Musk Said His AI Brain Chips Company Could 'Solve' Autism and Schizophrenia

https://www.businessinsider.com/elon-musk-said-neuralink-could-solve-autism-and-schizophrenia-2019-11

SO(8) Supergravity and the Magic of Machine Learning
Comsa et al.: https://arxiv.org/abs/1906.00207
#ArtificialIntelligence #DeepLearning #Physics

This PyTorch Library ‘Kaolin’ is Accelerating 3D Deep Learning Research

Github: https://github.com/NVIDIAGameWorks/kaolin
Paper: https://arxiv.org/abs/1911.05063

GIFT: Learning Transformation-Invariant Dense Visual Descriptors via Group CNNs
Liu et al.: https://arxiv.org/abs/1911.05932
#ArtificialIntelligence #DeepLearning #MachineLearning

Momentum Contrast for Unsupervised Visual Representation Learning
He et al.: https://arxiv.org/abs/1911.05722
#ArtificialIntelligence #DeepLearning #UnsupervisedLearning

Neurons spike back

By Dominique Cardon, Jean-Philippe Cointet and Antoine Mazières.

2018

In the tumultuous history of AI, learning techniques using so-called "connectionist" neural networks have long been mocked and ostracized by the "symbolic" movement. This article retraces the history of artificial intelligence through the lens of the tension between symbolic and connectionist approaches.

From a social history of science and technology perspective, it seeks to highlight how researchers, relying on the availability of massive data and the multiplication of computing power have undertaken to reformulate the symbolic AI project by reviving the spirit of adaptive and inductive machines dating back from the era of cybernetics.

#artificialintelligence #AI #connectionists #symbolicAI #neuralnetworks #expertsystems #historyofAI

https://neurovenge.antonomase.fr/

Specializing Word Embeddings (for Parsing) by Information Bottleneck
Li et al.: https://www.aclweb.org/anthology/D19-1276.pdf
#ArtificialIntelligence #MachineLearning #NLP

Weill Neurohub will fuel race to find new treatments for brain disease
Weill Neurohub will fuel race to find new treatments for brain disease
https://news.berkeley.edu/2019/11/12/weill-neurohub-will-fuel-race-to-find-new-treatments-for-brain-disease/

EMNLP 2019 Best Paper; Facebook XLM-R and More!
https://medium.com/syncedreview/weekly-papers-emnlp-2019-best-paper-facebook-xlm-r-and-more-8059403e39f3

Debate between Facebook's head of AI, Yann LeCun and Prof. Gary Marcus at New York University

What a great debate! https://youtu.be/aCCotxqxFsk

#ArtificialIntelligence #DeepLearning

Accelerating cardiac cine MRI beyond compressed sensing using DL-ESPIRiT. https://arxiv.org/abs/1911.05845

TASTE: Temporal and Static Tensor Factorization for Phenotyping Electronic Health Records. https://arxiv.org/abs/1911.05843

Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning. https://arxiv.org/abs/1911.05815

Computing Equilibria in Binary Networked Public Goods Games. https://arxiv.org/abs/1911.05788