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. https://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

PhD position: Artificial intelligence in Hepato-Pancreato-Biliary imaging
https://www.umcg.nl/EN/corporate/careers/Careers/Medicalscientific_staff/Paginas/PhD_position_Artificial_intelligence_in_Hepato-Pancreato-Biliary_imaging.aspx

Allow remote paper & poster presentations at scientific conferences


We are deeply concerned about how much flight traffic is caused by us - machine learners and, more generally, (data) scientists who should understand the dangers of climate change. Although we acknowledge that scientific exchange is difficult without traveling, we believe that video conferences - if set up properly - could become an increasingly important replacement. By streaming talks, some conferences already offer the opportunity to follow remotely. However, usually it is strictly required that authors present their work via physical attendance. Especially in machine learning, where conferences play an important role in scientific communication and careers, young scientists cannot realistically choose not to publish at the main venues, "just" because they are too far away.

We therefore ask all conferences, in particular all machine learning conferences (NeurIPS, ICML, AISTATS, ICLR, UAI, ...), to introduce the option of presenting papers or posters remotely, so that anyone be free to decide in his or her own conscience, whether the benefits of attending on site outweigh the negative consequences of the trip - both for climate and for family life. The implementation of these measures should ensure that presenting remotely actually does reduce conference emissions.

https://www.change.org/p/organizers-of-data-science-and-machine-learning-conferences-neurips-icml-aistats-iclr-uai-allow-remote-paper-poster-presentations-at-conferences

A 2020 Guide To Text Moderation with NLP and Deep Learning
The pervasive problem of hate speech, biases and stereotypes has persisted in society for a long time. This article shows how you can detect toxic language automatically by exploring several state of the art deep learning and NLP approaches and implementing a BERT embeddings based multi-label classifier.

Article link: https://nanonets.com/blog/text-moderation/

Neural Module Networks for Reasoning over Text
Gupta et al.: https://arxiv.org/abs/1912.04971
Code: https://nitishgupta.github.io/nmn-drop
#NeuralNetworks #Reasoning #SymbolicAI

Neural Network Training with Approximate Logarithmic Computations
Arnab Sanyal, Peter A. Beerel, Keith M. Chugg
An end-to-end training and inference scheme that eliminates multiplications by approximate operations in the log-domain which has the potential to significantly reduce implementation complexity.
Arxiv pre-print - https://arxiv.org/abs/1910.09876
Research blog - https://towardsdatascience.com/neural-networks-training-with-approximate-logarithmic-computations-44516f32b15b

This paper recently got accepted in the 45th IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2020, set to convene in Barcelona Spain, between May 4, 2020, and May 8, 2020.

Deep Learning and Reinforcement Learning Summer School 2020 will take place in Montreal on July 29 – August 6, 2020
https://dlrlsummerschool.ca/