Growing Neural Cellular Automata
https://distill.pub/2020/growing-ca/

ARIES is a networked software technology that redefines ecosystem service assessment and valuation for decision-making. The ARIES approach to mapping natural capital, natural processes, human beneficiaries, and service flows to society is a powerful new way to visualize, value, and manage the ecosystems on which the human economy and well-being depend.
https://www.youtube.com/watch?v=vsWGkMBpI9Y

On the Morality of Artificial Intelligence
Alexandra Luccioni, Yoshua Bengio : https://arxiv.org/abs/1912.11945
#Society #AIEthics #ArtificialIntelligence

Mila AI Institute is looking for interns to help on applied Machine Learning projects in different AI for Humanity areas (health, environment, humanitarian aid,etc.)

The ideal candidate would have a working knowledge of AI/ML and would be willing to work on projects supervised by mentors at Mila and supported by domain experts.

The goal of these internships is not to publish scientific papers, but to design and deploy ML solutions that can make meaningful impact on problems that are important for society.

Apply here: https://docs.google.com/forms/d/e/1FAIpQLSflOoGyOLhw02UmBCwFTZZMKcuojw33lVQT_m3p0t2RSzeP1A/viewform

Different languages use very different approaches to construct meaning
and to understand the many ways languages express meaning

TyDi QA: A Multilingual Question Answering Benchmark https://ai.googleblog.com/2020/02/tydi-qa-multilingual-question-answering.html

Machine Learning Department, Carnegie Mellon University

https://blog.ml.cmu.edu/

Self-Distillation Amplifies Regularization in Hilbert Space
https://arxiv.org/abs/2002.05715v1

Yann lecun

Very impressive speed-up of physics simulations using ConvNets emulators obtained through architecture search.
Results on 10 applications in climate modeling, plasma, etc.

https://arxiv.org/abs/2001.08055

How to implement a YOLO (v3) object detector from scratch in PyTorch: Part 1
Blog by Ayoosh Kathuria: https://blog.paperspace.com/how-to-implement-a-yolo-object-detector-in-pytorch/
#ArtificialIntelligence #ComputerVision #DeepLearning #MachineLearning #PatternRecognition

Capsules with Inverted Dot-Product Attention Routing

New routing algorithm for capsule networks, in which a child capsule is routed to a parent based only on agreement between the parent’s state and the child’s vote.

Code: https://github.com/apple/ml-capsules-inverted-attention-routing

Paper: https://openreview.net/pdf?id=HJe6uANtwH

Deep Learning

https://www.youtube.com/watch?v=6TB9CUB_RE4

Recurrent Neural Networks | MIT 6.S191


https://www.youtube.com/watch?v=SEnXr6v2ifU

join
https://t.me/ArtificialIntelligenceArticles

Lecture by Vladimir Vapnik in January 2020, part of the MIT Deep Learning Lecture Series.
https://www.youtube.com/watch?v=Ow25mjFjSmg

Data used to train #AI can contain implicit racial, gender, or ideological biases. How can we champion processes to remove bias from AI?

https://www.anaconda.com/machine-learning-bias-fairness/

HypoML: Visual Analysis for Hypothesis-based Evaluation of Machine Learning Models. http://arxiv.org/abs/2002.05271

Reinforcement learning is one powerful paradigm for doing so, and it is relevant to an enormous range of tasks, including robotics, game playing, consumer modeling, and healthcare.
https://www.youtube.com/watch?v=FgzM3zpZ55o

2.7 million have enrolled in Andrew Ng’s Machine Learning course
- Geoffrey Hinton has been cited 340k times
- TensorFlow has been used in 60k OSS projects

Hypothesis: in 5 years, when these millions of students have gained hands-on experience, we'll have AI skills overflow.