Advices for training your Neural Network like a Recipe. !

https://karpathy.github.io/2019/04/25/recipe/

https://newsroom.gehealthcare.com/ai-helps-doctors-critical-measurement-during-pregnancy/


Automating the process of measuring the fetal brain may help get crucial data faster and easier. However, measuring the fetal brain is not an easy task and requires a significant amount of manual input from the sonographer. Today, an artificial intelligence (AI) powered tool can make this process much easier.

Exploring DNA with Deep Learning


https://blog.floydhub.com/exploring-dna-with-deep-learning/

A simple model of a neuron can be approximated by "deep network" with one hidden layer

A more detailed model of a neuron with NMDA (glutamate receptor) synapses requires SEVEN hidden layers https://www.biorxiv.org/content/10.1101/613141v1

Statistical physics of liquid brains
Pinero et al.: https://www.biorxiv.org/content/biorxiv/early/2018/11/26/478412.full.pdf
#brain #physics #technology

"If you're not having fun, you're not learning. There's a pleasure in finding things out." - Richard Feynman
#ArtificialIntelligence #DeepLearning #MachineLearning

‘Ethics Guidelines for Trustworthy AI’ Summarised
Blog by Ben Gilburt: https://towardsdatascience.com/ethics-guidelines-for-trustworthy-ai-summarised-1c86174e788b
#EuropeanUnion #AIEthics #ArtificialIntelligence #AI #Ethics

10 CUTTING EDGE RESEARCH PAPERS IN COMPUTER VISION & IMAGE GENERATION
https://www.topbots.com/most-important-ai-computer-vision-research/

A Digest of Top 35+ Research Papers on Statistics. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #JavaScript #ReactJS #GoLang #Serverless #DataScientist #Linux #Statistics

https://www.tandfonline.com/doi/full/10.1080/00031305.2019.1583913

No Time to Read Artificial Intelligence Research?
👇
Here You Have 10 Top 2018 #AI Papers Summarized For You 👌

https://www.topbots.com/most-important-ai-research-papers-2018/

Deep Learning lecture
The full deck of (600+) slides, by Gilles Louppe: https://glouppe.github.io/info8010-deep-learning/pdf/lec-all.pdf
#ArtificialIntelligence #DeepLearning #MachineLearning

Phd-level courses

here's a list of advanced courses about ML:

Advanced Introduction to ML -
https://www.cs.cmu.edu/~bapoczos/Classes/ML10715_2015Fall/index.html

https://www.youtube.com/playlist?list=PL4DwY1suLMkcu-wytRDbvBNmx57CdQ2pJ&jct=q4qVgISGxJql7TlE6eSLKa8Wwci8SA

Large Scale ML - videos

https://www.cs.toronto.edu/~rsalakhu/STA4273_2015/lectures.html

Statistical Learning Theory and Applications -
https://www.youtube.com/playlist?list=PLyGKBDfnk-iDj3FBd0Avr_dLbrU8VG73O

Regularization Methods for ML -
https://www.youtube.com/playlist?list=PLbF0BXX_6CPJ20Gf_KbLFnPWjFTvvRwCO

Statistical ML -
https://www.youtube.com/playlist?list=PLTB9VQq8WiaCBK2XrtYn5t9uuPdsNm7YE

Convex Optimization -
https://www.youtube.com/playlist?list=PLjbUi5mgii6BZBhJ9nW7eydgycyCOYeZ6

Probabilistic Graphical Models 2014 (with videos)

https://www.cs.cmu.edu/~epxing/Class/10708-14/lecture.html

Build your own robotic cat!

Blog by Alex Bate: https://www.raspberrypi.org/blog/robotic-cat-petoi-nybble/

#Arduino #ArtificialIntelligence #MachineLearning #RaspberryPi #Robotics

See arXiv’s Feedback on the Guidance on the Implementation of Plan S https://blogs.cornell.edu/arxiv/2019/02/04/arxivs-feedback-on-the-guidance-on-the-implementation-of-plan-s/ #PlanS #preprints

Computer-aided diagnosis in histopathological images of the endometrium using a convolutional neural network and attention mechanisms

https://arxiv.org/abs/1904.10626

Neural Path Planning: Fixed Time, Near-Optimal Path Generation via Oracle Imitation. (link: https://arxiv.org/abs/1904.11102) arxiv.org/abs/1904.11102

PAN: Path Integral Based Convolution for Deep Graph Neural Networks. (link: https://arxiv.org/abs/1904.10996) arxiv.org/abs/1904.10996

Adaptive Transform Domain Image Super-resolution Via Orthogonally Regularized Deep Networks. link: https://arxiv.org/abs/1904.10082

Orientation Aware Object Detection with Application to Firearms. (link: https://arxiv.org/abs/1904.10032) arxiv.org/abs/1904.10032

A Fast, Semi-Automatic Brain Structure Segmentation Algorithm for Magnetic Resonance Imag... (link: https://arxiv.org/abs/1904.09978) arxiv.org/abs/1904.09978

The computational power of Quantum Computers: an intuitive guide
Blog by Karel Dumon: https://medium.com/@kareldumon/the-computational-power-of-quantum-computers-an-intuitive-guide-9f788d1492b6
#QuantumComputing #QuantumPhysics #MachineLearning