Chinese Face Recognition vending machine.

No cash, card, or phone needed.

Read: https://www.businessinsider.com/a-tiktok-from-china-shows-facial-recognition-equipped-vending-machine-2019-8

Supervised Machine Learning Lecture Notes - Andreas Lindholm, Niklas Wahlström, Fredrik Lindsten, Thomas B. Schön

Download: https://www.it.uu.se/edu/course/homepage/sml/literature/lecture_notes.pdf

Find The Most Updated and Free Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Mathematics, Python, R Programming Resources.: https://www.marktechpost.com/free-resources/

Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model
David John Gagne II, Hannah M. Christensen, Aneesh C. Subramanian, Adam H. Monahan : https://arxiv.org/abs/1909.04711
#GenerativeAdversarialNetworks #MachineLearning #Physics

CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases
Yu et al.: https://arxiv.org/abs/1909.05378
#ArtificialIntelligence #Database #MachineLearning

What do Deep Networks Like to Read?
Jonas Pfeiffer, Aishwarya Kamath, Iryna Gurevych, Sebastian Ruder : https://arxiv.org/abs/1909.04547
#ArtificialIntelligence #MachineLearning #NeuralNetworks

Perceptual Image Anomaly Detection. https://arxiv.org/abs/1909.05904


@ArtificialIntelligenceArticles

The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives
Elena Voita, Rico Sennrich, Ivan Titov
Blog: https://lena-voita.github.io/posts/emnlp19_evolution.html
Paper: https://arxiv.org/abs/1909.01380
#ArtificialIntelligence #MachineLearning #Transformers

Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning. https://arxiv.org/abs/1909.05477

Evolution of Representations in the Transformer

The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives
https://lena-voita.github.io/posts/emnlp19_evolution.html

paper https://arxiv.org/pdf/1909.01380.pdf

Couldn't make it to our Pie & AI meetup in Medellín? Watch the full video of Andrew Ng and Helmuth Trefftz's conversation to learn why we believe in Latin America as a new global AI hub:

https://youtu.be/wlQvPJHxfOE

"A tutorial on energy-based learning"
Yann LeCun, Sumit Chopra, and Raia Hadsell (2006) : https://yann.lecun.com/exdb/publis/pdf/lecun-06.pdf
#EnergyBasedModels #GenerativeModels #GraphTransformerNetworks

DyANE: Dynamics-aware node embedding for temporal networks
Koya Sato, Mizuki Oka, Alain Barrat, Ciro Cattuto : https://arxiv.org/abs/1909.05976
#Physics #Society #MachineLearning #SocialNetworks

1.3 Why study the human brain?
https://www.youtube.com/watch?v=3GK7wDEjrks&fbclid=IwAR0Q7xvmlQ84-u0a52AR2DCpC_kdduWQsRZqp6G88qEZzDf1LYkDzZ4vvvE

Forecaster: A Graph Transformer for Forecasting Spatial and Time-Dependent Data
Yang Li, José M. F. Moura : https://arxiv.org/abs/1909.04019v3
#MachineLearning #ArtificialIntelligence #Transformer

Help detect serious head injuries by participating in our latest competition, Intracranial Hemorrhage Detection by @RSNA | Read more and Join today!

https://www.kaggle.com/c/rsna-intracranial-hemorrhage-detection

Robotics surgeries may currently be an expensive proposition for hospitals, but robots and artificial intelligence will certainly play a major role in the healthcare sector in the future.
Several startups such as DiFacto Robotics, SigTuple and Aindra are working to bring new technologies to reality in India. A group of top executives from hospital chains, investment firms and startups discussed the future of healthcare at the News Corp VCCircle Healthcare Investment Summit, held in Mumbai recently.

https://www.youtube.com/watch?v=1arrmk4XWZE

Full Time Opportunities for PhD Students - AI Development Program

#Microsoft
#Redmond, Washington, United States
https://careers.microsoft.com/us/en/job/660559/Full-Time-Opportunities-for-PhD-Students-AI-Development-Program

Project Ihmehimmeli: Temporal Coding in Spiking Neural Networks
Blog by Iulia-Maria Comșa and Krzysztof Potempa : https://ai.googleblog.com/2019/09/project-ihmehimmeli-temporal-coding-in.html
#neuralnetworks #machinelearning #artificialintelligence

Neural-Network Pioneer Yann LeCun on AI and Physics
https://harvardmagazine.com/2019/09/neural-network-pioneer-yann-lecun-on-ai-and-physics#disqus_thread

https://t.iss.one/ArtificialIntelligenceArticles