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French Lender Societe Generale Issues $112 Million Bond on Ethereum

UPDATE (April 23, 20:45 UTC): This article has been updated to note that Societe Generale issued the bonds to itself, and to include other details from a rating agency report.

Announced today, a subsidiary called Societe Generale SFH used the OFH token (obligations de financement de l’habitat, or home financing obligations) to represent 100 million euros of covered bonds, a type of security that is backed by specific assets but remains on the issuer’s balance sheet.

The bond has a five-year maturity with a 12-month extension period, Moody’s said.  It is pari passu (“on equal footing”) with other covered bonds of the issuer, meaning if the company were to fail, whoever held the tokens at that time would be repaid the same fractional amounts at the same time as regular bondholders, the report said.

the firm said in a press release, adding: “Many areas of added value are predicted, among which, product scalability and reduced time to market, computer code automation structuring, thus better transparency, faster transferability and settlement.

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Ten years ago, researchers thought that getting a computer to tell the difference between a cat and a dog would be almost impossible. Today, computer vision ...

GOTO 2017 • Machine Learning with TensorFlow and Google Cloud • Vijay Reddy

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GOTO 2018 • Deep Learning for Developers • Julien Simon

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The Assembly Line of Machine Learning | DataEngConf SF '18


Computer Science - Brian Kernighan on successful language design

Professor Brian Kernighan presents on 'How to succeed in language design without really trying.' Brian Kernighan is Professor of Computer Science at ...

Distributed TensorFlow (TensorFlow @ O’Reilly AI Conference, San Francisco '18)

This talk demonstrates how to perform distributed TensorFlow training using the Keras high-level APIs. The team walks you through TensorFlow's distributed ...

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Can we predict the outcome of a football game given a dataset of past games? That's the question that we'll answer in this episode by using the scikit-learn ...

Stefan Otte: Deep Neural Networks with PyTorch | PyData Berlin 2018

Learn PyTorch and implement deep neural networks (and classic machine learning models). This is a hands on tutorial which is geared toward people who are ...

2015 FIRST World Championships Conference - Motion Planning & Control in FRC