Deep Learning Weekly | Issue #86: Catching Deepfakes, Amazon for Government Surveillance, Google Practica, ML for Artists, current state of AI, Semantic Search

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Hey and welcome to another week in deep learning! This week, we look at DARPA's attempts of catching
May 31 · Issue #86 · View online
Deep Learning Weekly
Hey and welcome to another week in deep learning!
This week, we look at DARPA’s attempts of catching deepfakes, a new AI chipmaker, some worrying news about Amazons Rekognition marketing and an opinion piece on the current state of AI.
Google has announced a new interactive course on image classification, there is a great article on deep learning for artists, a nice tutorial on semantic search on code blocks, MXNet 1.2.0, and a minimal implementation of YoloV3 in PyTorch.
Happy reading and hacking!
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The US military is funding an effort to catch deepfakes and other AI trickery
Cambricon, Makers of Huawei's Kirin NPU IP, Build A Big AI Chip and PCIe Card
Amazon Teams Up With Government to Deploy Dangerous New Facial Recognition Technology
A.I. Is Harder Than You Think
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Introducing Machine Learning Practica
Machine Learning En Plein Air: Building accessible tools for artists
How To Create Natural Language Semantic Search For Arbitrary Objects With Deep Learning
Libraries & Code
Announcing Apache MXNet 1.2.0
Minimal PyTorch implementation of YOLOv3
Papers & Publications
AutoAugment: Learning Augmentation Policies from Data
How Does Batch Normalization Help Optimization? (No, It Is Not About Internal Covariate Shift)