Deep Hunt — Issue #55
Highlights of the week are: Google buys two startups — Senosis and AIMatter; AI Is Taking Over the Cloud; Getting Up and Running with PyTorch on Amazon Cloud; Making Visible Watermarks More Effective
News
Google buys Seattle health monitoring startup Senosis, bolstering digital health push
Google has acquired Senosis, a Seattle-based startup that’s been making mobile apps to identify health conditions without the need for additional hardware.
Google acquires AIMatter, maker of the Fabby computer vision app
In yet another acquisition, Google has acquired AIMatter, a startup founded in Belarus that has built both a neural network-based AI platform and SDK to detect and process images quickly on mobile devices, and a photo and video editing app.
Andrew Ng is raising a $150M AI Fund
So, this might be the big news we’ve waiting to hear from Andrew Ng you’ll! Reports say he’s raising a $150M AI Fund!
Articles
Cloud storage company Box is using Google’s vision technology to make its service considerably smarter. And this could be a good way for companies to dip their toes into AI and machine learning.
An inside look at Ford’s $1 billion bet on Argo AI
In the race to launch autonomous vehicles, artificial intelligence expertize is the prize and so, read how Argo is fitting in the grand scheme of things for Ford.
Tutorials, Tools and Tips
Generative Adversarial Networks: Engine and Applications
Generative adversarial networks (GANs) are a class of neural networks that are used in unsupervised machine learning. Read how are they used and for what kind of applications?
Getting Up and Running with PyTorch on Amazon Cloud
This is a short tutorial is aimed at helping you quickly get an AWS GPU instance up and running so that you can train and test your PyTorch models on cloud.
Research
Making Visible Watermarks More Effective
This Google research shows that a computer algorithm can remove watermarks automatically, giving users unobstructed access to the clean images the watermarks are intended to protect and also proposes ways to make visible watermarks more robust to such manipulations.
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