Fast Video Object Segmentation using the Global Context Module. http://arxiv.org/abs/2001.11243

Machine Learning in Neuroscience
https://www.frontiersin.org/research-topics/9012/machine-learning-in-neuroscience

Machine learning + neuroscience

https://www.youtube.com/watch?v=iPdKMs9cEAs

A review of machine learning for neuroscience:
https://www.mdpi.com/2076-3425/9/3/67/htm

Soul Machines
Soul Machines is an AGI research company re-imagining how humans connect and collaborate with machines. With the world's first autonomous animation engine, Soul Machines is bringing Digital Heroes to life to deliver a new era of customer experience.


https://www.youtube.com/channel/UCKjRfR3yKcKdP1VQ9rfnYsQ

If you're interested in mind uploading, then I have an excellent article to recommend. This wide-ranging article is focused on neuromorphic computing and has sections on memristors. Here is a key excerpt:

"...Perhaps the most exciting emerging AI hardware architectures are the analog crossbar approaches since they achieve parallelism, in-memory computing, and analog computing, as described previously. Among most of the AI hardware chips produced in roughly the last 15 years, an analog memristor crossbar-based chip is yet to hit the market, which we believe will be the next wave of technology to follow. Of course, incorporating all the primitives of neuromorphic computing will likely require hardware solutions even beyond analog memristor crossbars..."

Here's a web link to the research paper:

https://aip.scitation.org/doi/abs/10.1063/1.5129306%40are.2020.BIE2019.issue-1

2019 nCoV realtime track system based Scrapy + influxdb + grafana + NLTK + Stanford CoreNLP
https://github.com/hysios/coronavirus

Thinc – deep learning library with type-checked, functional-programming API for composing models, with support for layers defined in other frameworks such as PyTorch, TensorFlow and MXNet.

https://thinc.ai/docs
https://github.com/explosion/thinc

10 Best and Free Machine Learning Courses, Online
https://www.kdnuggets.com/2019/12/best-free-machine-learning-courses-online.html

Hydra — A fresh look at configuration for machine learning projects
Hydra is a recently released open-source Python framework developed at Facebook AI that simplifies the development of research and other complex applications. This new framework provides a powerful ability to compose and override configuration from the command line and configuration files.
https://medium.com/pytorch/hydra-a-fresh-look-at-configuration-for-machine-learning-projects-50583186b710

Learning from Peers at the Wireless Edge. http://arxiv.org/abs/2001.11567

Deep tic-tac-toe
By Zack Akil: https://zackakil.github.io/deep-tic-tac-toe/
#ReinforcementLearning #DeepLearning #TensorflowJS

Code: Capsule Routing via Variational Bayes (AAAI 2020)
[Official Pytorch implementation]

https://github.com/fabio-deep/Variational-Capsule-Routing

[Paper]

https://arxiv.org/pdf/1905.11455.pdf

The Missing Semester of Your CS Education
Anish Athalye, Jon Gjengset, Jose Javier Gonzalez Ortiz : https://missing.csail.mit.edu
#ArtificialIntelligence #ComputerScience #Programming

NSF selects 7 winners from its first-ever NSF 2026 Idea Machine prize competition


https://www.nsf.gov/news/news_summ.jsp