Recent Posts

  • Episode 35: Attacking deep learning models

    Attacking deep learning models Compromising AI for fun and profit   Deep learning models have shown very promising results in computer vision and sound recognition. As more and more deep learning based systems get integrated in disparate domains, they w...

  • Episode 34: Get ready for AI winter

    Today I am having a conversation with Filip Piękniewski, researcher working on computer vision and AI at Koh Young Research America. His adventure with AI started in the 90s and since then a long list of experiences at the intersection of computer scienc...

  • Episode 33: Decentralized Machine Learning and the proof-of-train

    In the attempt of democratizing machine learning, data scientists should have the possibility to train their models on data they do not necessarily own, nor see. A model that is privately trained should be verified and uniquely identified across its enti...

  • Episode 32: I am back. I have been building fitchain

    I know, I have been away too long without publishing much in the last 3 months. But, there's a reason for that. I have been building a platform that combines machine learning with blockchain technology. Let me introduce you to fitchain and tell you more ...

  • Founder Interview – Francesco Gadaleta of Fitchain

    Cross-posting from Cryptoradio.io Overview Francesco Gadaleta introduces Fitchain, a decentralized machine learning platform that combines blockchain technology and AI to solve the data manipulation problem in restrictive environments such as healthcare ...

  • Episode 31: The End of Privacy

    Data is a complex topic, not only related to machine learning algorithms, but also and especially to privacy and security of individuals, the same individuals who create such data just by using the many mobile apps and services that characterize their di...

  • Episode 30: Neural networks and genetic evolution: an unfeasible approach

    Despite what researchers claim about genetic evolution, in this episode we give a realistic view of the field.

  • Episode 29: Fail your AI company in 9 steps

    In order to succeed with artificial intelligence, it is better to know how to fail first. It is easier than you think.Here are 9 easy steps to fail your AI startup.

  • Episode 28: Towards Artificial General Intelligence: preliminary talk

    The enthusiasm for artificial intelligence is raising some concerns especially with respect to some ventured conclusions about what AI can really do and what its direct descendent, artificial general intelligence would be capable of doing in the immediat...

  • Episode 27: Techstars accelerator and the culture of fireflies

    In the aftermath of the Barclays Accelerator, powered by Techstars experience, one of the most innovative and influential startup accelerators in the world, I’d like to give back to the community lessons learned, including the need for confidence, soft-s...

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