Generative Adversarial Networks (GANs) in 50 lines of code (PyTorch)
tl;dr: GANs are simpler to set up than you think
Blog by Dev Nag : https://medium.com/@devnag/generative-adversarial-networks-gans-in-50-lines-of-code-pytorch-e81b79659e3f
#deeplearning #generativeadversarialnetworks #pytorch

An Intuitive (and Short) Explanation of Bayes’ Theorem
https://betterexplained.com/articles/an-intuitive-and-short-explanation-of-bayes-theorem/

Huawei’s First Commercial AI Chip Doubles the Training Performance of Nvidia’s Flagship GPU

https://syncedreview.com/2019/08/23/huaweis-first-commercial-ai-chip-doubles-the-training-performance-of-nvidias-flagship-gpu/

How Learning Can Guide Evolution
Geoffrey E. Hinton and Steven J. Nowlan : https://www.cs.toronto.edu/~hinton/absps/evolution.htm
#Learning #Evolution

STI – PhD Positions in Machine Learning @ LIONS EPFL (Switzerland)

The LIONS group (https://lions.epfl.ch) at Ecole Polytechnique Federale de Lausanne (EPFL) has several openings for PhD students for research in machine learning and information processing. Please see our research interests.
We are interested in students with EE, CS, and Mathematics backgrounds. Candidates should directly apply to the EDEE or EDIC doctoral programs and list Prof. Volkan Cevher as a potential host for their PhD studies.

More details here: https://www.marktechpost.com/job/sti-phd-positions-in-machine-learning-lions-epfl-switzerland/

A New Consciousness of Inclusion in Machine Learning

https://blog.shakirm.com/2019/06/a-new-consciousness-of-inclusion-in-machine-learning/

TensorFlow 2.0 Release Candidate
Release 2.0.0-rc0 : https://github.com/tensorflow/tensorflow/releases/tag/v2.0.0-rc0
pip install tensorflow==2.0.0rc0
#deeplearning #machinelearning #tensorflow

ETHICALLY ALIGNED DESIGN
First Edition
A Vision for Prioritizing Human Well-being with Autonomous and Intelligent Systems
“As someone involved in the study and deployment of systems using machine intelligence in society, Ethically Aligned Design, First Edition, provides an essential contribution to the discussion and practice of designing systems that more coherently integrate with society and in ethical ways. This work aligns with my work at the MIT Media Lab and the Harvard Law School, and I look forward to continuing our collaboration.”
Joichi Ito, MIT Media Lab
The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems (The IEEE Global Initiative) : https://standards.ieee.org/content/dam/ieee-standards/standards/web/documents/other/ead1e.pdf
#ai4good #aiethics #aigovernance

new paper from Andrew Ng , Yoshua Bengio ,Demis Hassabis , .... arxiv.org/abs/1906.05433 https://t.iss.one/ArtificialIntelligenceArticles

Prof. Steve Fuller on #Transhumanism: Ask yourself what is #human? https://www.singularityweblog.com/steve-fuller/ #AI #Futurism #Tech #Transhuman

Pre-training Graph Neural Networks

Hu et al.: https://arxiv.org/abs/1905.12265

#GraphNeuralNetworks #MachineLearning

Dynamic Routing Between Capsules by sara sabour , geoffery Hinton , nicholas frosst
Paper: https://arxiv.org/pdf/1710.09829.pdf
Summary : https://link.medium.com/ubOdohuOqZ

Object detection on aerial imagery using CenterNet. https://arxiv.org/abs/1908.08244

Progressive Face Super-Resolution via Attention to Facial Landmark. https://arxiv.org/abs/1908.08239

Boundary Aware Networks for Medical Image Segmentation. https://arxiv.org/abs/1908.08071

On-Device, Real-Time Hand Tracking with MediaPipe
Blog by Valentin Bazarevsky and Fan Zhang : https://ai.googleblog.com/2019/08/on-device-real-time-hand-tracking-with.html
#MachineLearning #TensorFlowLite #TensorFlow

Data Scientist (Machine Learning)

Experian DataLabs is a R&D unit at Experian formed with the desire to work in
collaboration with Experian’s business units to enhance relationships with clients and acquire strategic datasets. Experian® is a global leader in providing information, analytical tools and marketing services to organizations and consumers to help manage the risk and reward of commercial and financial decisions. Using our comprehensive understanding of individuals,
markets and economies, we help organizations find, develop and manage customer relationships to make their businesses more profitable.

Position Summary:
The person filling this position will be part of Experian North America R&D Data Lab concentrating on research and development of novel analytical solutions, new product prototyping, as well as new data asset evaluation and acquisition. This position requires extensive background and knowledge in machine learning and data science. A successful candidate should also have previous experience in developing deep-learning algorithms and/or deep learning based analytic solutions using large datasets. Experience in the areas of natural
language understanding, symbolic AI, online marketing, healthcare is a plus.
The candidate will need to be able to work on multiple concurrent projects, anticipate obstacles, and make high quality deliveries on an aggressive schedule. The candidate must also be a team player that is self-motivated and has excellent communication skills.
Key job functions include:
Analyzing, processing, evaluating and documenting large data sets
Identify/develop appropriate machine learning/deep learning/natural language understanding/natural language processing techniques to uncover the value of the data
Designing data structure and data storage schemes for efficient data manipulation and information retrieval
Developing tools for data processing and information retrieval
Developing data driven models to quantify the value of a given data set
Applying, modifying and inventing algorithms to solve challenging business problems
Validating score performance
Conducting ROI and benefit analysis
Documenting and presenting model process and model performance

https://ai-jobs.net/job/data-scientist-machine-learning-12/