Gildas Chabot

The goal of this talk is to guide you through the integration of pre-trained models into a Go app. From A to Z, we will build an AI image search with Go and Tensorflow.

AI is on everybody's lips nowadays. Every company wants to bring it to its customers. Google, Facebook, Microsoft and more are racing against each other with research papers and open-source frameworks. From a developer point-of-view, it has never been so easy to access so powerful AI engines. The goal of this talk is to guide you through the integration of pre-trained models into a Go app. From A to Z, we will build an AI image search with Go and Tensorflow.

Upspin is both a protocol and a reference implementation for a global name space for network-accessible files that comes with permissions and end-to-end encryption. With simplicity at its core (the protocol is just 10 methods), it is very versatile and can be a building block for a decentralized Internet

Last October, Rob Pike published the Upspin manifesto on his blog - command center. This manifesto is centered around a concept I care for: the separation of the producers and the consumers of data. I had been willing to create web services that could freely inter-operate and Upspin is a wonderful tool for that. Since then, I have been working on a collection of Upspin client and servers to prove the concept.

In this talk I will present: - the basic concepts and architecture of Upspin - my implementations of Upspin client and servers (directory and storage) - my thoughts about what can be done with Upspin