"A new form of commercial organization is currently driving many of the fundamental changes in the world: how we consume news, make purchasing decisions, find romantic partners, and even discuss the issues we care about most. A company provides a service for free to the masses, harvests the data they generate with their digital footprint, and then use this data to sell advertisement or influence people’s behavior with sophisticated machine learning algorithms. This model is called “data capitalism” and it is endangered by a new generation of cryptographic technologies." - Moritz Bierling In this episode of the podcast, Andrew Brozek, the CEO of Craftinity, joins Moritz Bierling, Chief Strategist at Exosphere, for a discussion on a technical change coming our way: consenusal data sharing through holochain. Moritz elaborates on what holochain is, how it might be useful, and the future consequences of this kind of platform including the potential crossover with Machine Learning-related technologies.

Our ML Engineer Michael Bigaj joins Ola for the fifth episode of our podcast, Machine Learning Made Known. Bigaj explains what Visualization is and its applications in ML by using some useful metaphors.

The fourth episode of our podcast, "Machine Learning made Known." Andrew and Megan have a short interview with Konrad Muchowicz, an iOS and machine learning developer at Untitled Kingdom. Konrad talks through the technical process of deploying a smartphone app powered by ML.

Our third episode featuring Craftinity's CTO, Mattew Opala. Mattew explains what object detection is, its types and how it might be applied as a solution for different fields.

The second episode of our podcast, "Machine Learning made Known." Here, Ola, Andrew and Megan have a short interview with the machine learning engineer, Michael Jamroż. He talks about image generation with Deep Learning, particularly Generative Adversarial Networks.

The first episode of our podcast, "Machine Learning made Known." Here, Ola, Andrew and Megan have a short interview with our Swiss machine learning engineer, Timo Rohner. He talks about Hilbert, Gödel, and Deep Learning.