podcast

April 16, 2019

Episode 56: The graph network

Since the beginning of AI in the 1950s and until the 1980s, symbolic AI approaches have dominated the field. These approaches, also known as expert systems, used mathematical symbols to represent objects and the relationship between them, in order to dep...
April 9, 2019

Episode 55: Beyond deep learning

The successes that deep learning systems have achieved in the last decade in all kinds of domains are unquestionable. Self-driving cars, skin cancer diagnostics, movie and song recommendations, language translation, automatic video surveillance, digital ...
March 9, 2019

Episode 54: Reproducible machine learning

In this episode I speak about how important reproducible machine learning pipelines are. When you are collaborating with diverse teams, several tasks will be distributed among different individuals. Everyone will have good reasons to change parts of your...
January 23, 2019

Episode 53: Estimating uncertainty with neural networks

Have you ever wanted to get an estimate of the uncertainty of your neural network? Clearly Bayesian modelling provides a solid framework to estimate uncertainty by design. However, there are many realistic cases in which Bayesian sampling is not really a...
January 17, 2019

Episode 52: why do machine learning models fail? [RB]

The success of a machine learning model depends on several factors and events. True generalization to data that the model has never seen before is more a chimera than a reality. But under specific conditions a well trained machine learning model can gene...
December 26, 2018

Episode 50: Decentralized machine learning in the data marketplace

In this episode I briefly explain how two massive technologies have been merged in 2018 (work in progress :) - one providing secure machine learning on isolated data, the other implementing a decentralized data marketplace. In this episode I explain: How...
December 19, 2018

Episode 49: The promises of Artificial Intelligence

It's always good to put in perspective all the findings in AI, in order to clear some of the most common misunderstandings and promises. In this episode I make a list of some of the most misleading statements about what artificial intelligence can achiev...
October 21, 2018

Episode 48: Coffee, Machine Learning and Blockchain

In this episode - which I advise to consume at night, in a quite place - I speak about private machine learning and blockchain, while I sip a cup of coffee in my home office.There are several reasons why I believe we should start thinking about private m...
Episode 48: Coffee, Machine Learning and Blockchain
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