A tetraplegic man has been able to move all four of his paralyzed limbs by using a brain-controlled robotic suit, researchers have said.

https://edition.cnn.com/2019/10/04/health/paralyzed-man-robotic-suit-intl-scli/index.html

"It's never too early to start writing your thesis" (and 19 other #PHD tips).
https://go.nature.com/2PkeWtL

2020 Summer School in Social Neuroscience and Neuroeconomics

Reminder that applications are due by January 1 for the 2020 Summer School in Social Neuroscience and Neuroeconomics (June 8-13) hosted at Duke: https://www.socialneuroecon.school/2020

There is no cost to attend the school; registration, lodging, and reasonable travel expenses will be covered for all attendees. The school is open to post-baccs, grad students, post-docs, and junior faculty.

Priority will be given to individuals with research programs currently focused on improving health and well being in old age or who have plans to extend their work into this area (the school is funded by a grant from the National Institute on Aging). Individuals from backgrounds that are underrepresented in science are strongly encouraged to apply.

If you are hesitant to apply because travel is complicated while you have an infant or small children, we will do everything we can to accommodate you. If there is interest, we will provide child care during the days and can provide space and time during the events for nursing and/or other childcare-related activities. If needed, we can express ship your pumped milk home to an infant using Milk Stork.

If you missed the initial announcement, don’t worry - the application is one paragraph and we don’t request recommendation letters unless there is a multi-way tie for a spot. It should take about 20 minutes or less to apply, If you are local (Duke, UNC, etc) and won’t require lodging, you still need to complete an application to be able to attend.

Hope to see you this summer at Duke!

Gregory Samanez-Larkin
https://mcablab.science/gregoryrsl

NeurIPS 2019 Implementations
Papers with code: https://paperswithcode.com/conference/neurips-2019-12
#ArtificialIntelligence #DeepLearning #NeurIPS2019

Reformer: The Efficient Transformer
Kitaev et al.: https://openreview.net/forum?id=rkgNKkHtvB
#Artificialintelligence #DeepLearning #Transformer

FlauBERT: Unsupervised Language Model Pre-training for French
Le et al.: https://arxiv.org/abs/1912.05372
#Computation #Language #MachineLearning

Visual Domain Adaptation Challenge
https://ai.bu.edu/visda-2019/?fbclid=IwAR1duIuADj053gRA5nPPG73K6wi1eh9DQfFUXSjVNzKeGNOleVpkPX6FywE

Measuring Dataset Granularity. https://arxiv.org/abs/1912.10154

Exercism

Code practice and mentorship for everyone!

Level up your programming skills with 2,659 exercises across 48 languages, and insightful discussion with our dedicated team of welcoming mentors. Exercism is 100% free forever.

https://exercism.io/

Want to practice coding for interviews at a company like Google? May I recommend: https://rosalind.info/problems/list-view/, https://projecteuler.net, and https://exercism.io.

Facebook has a neural network that can do advanced math
https://www.technologyreview.com/s/614929/facebook-has-a-neural-network-that-can-do-advanced-math/#

A new deep learning algorithm can predict those at risk of psychosis with 93% accuracy by examining the latent semantic content of an individual’s speech.

https://neurosciencenews.com/ai-psychosis-words-14236/

Here's the original article if you want to know what it actually says. https://www.nature.com/articles/s41537-019-0077-9

MIT lecture series on deep learning in 2019
MIT lecture series on deep learning:Basics: https://www.youtube.com/watch?v=O5xeyoRL95U&list=PLrAXtmErZgOeiKm4sgNOknGvNjby9efdf

MIT lecture series on deep learning: State of the Art:https://www.youtube.com/watch?v=53YvP6gdD7U&list=PLrAXtmErZgOeiKm4sgNOknGvNjby9efdf

MIT lecture series on deep learning: Introduction to Deep RL: https://www.youtube.com/watch?v=zR11FLZ-O9M&list=PLrAXtmErZgOeiKm4sgNOknGvNjby9efdf

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

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

“AI: Monte Carlo Tree Search (MCTS)”

de Pedro Torres Perez

https://rsci.app.link/LczXR6YnO2?_p=c11731dc9a0660eee31c8de3e9b6b9

CS 188 : Introduction to Artificial Intelligence
Pieter Abbeel & Dan Klein, University of California, Berkeley : https://inst.eecs.berkeley.edu/~cs188/fa18/
#ArtificialIntelligence #DeepLearning #ReinforcementLearning