Part I: from marble to protocols, an introduction

Photo by Luca Florio on Unsplash

Banks have been sitting at the centre of the economy during the last five hundred years, transforming the intangible human innate trust about the future into available financial resources, and hence turbocharging economic growth across the world. I have spent my entire 15-year career working in and studying financial institutions, first as a strategic consultant for bank executives, then as an investment banker serving their needs, and ultimately as an investor. …

A tourist guide to (novel) image generation for non-geeks

Photo by Wilhelm Gunkel on Unsplash

It all started in 1950 with a game played by three subjects. C would sit in a separate room asking open questions to A and B, receiving written answers and trying to discern from those whether A and B were humans or machines. The aim of C was to get it right, while that of both A and B was to fool C.

Seventy years have passed since machines started to study how to pass the Turing test, and they have come a long way.

I am an investor with some level of understanding of financial services after 15 years…

Or why pigeons offer an insight into how machines should do their math

Creation of Adam by Michelangelo di Lodovico Buonarroti Simoni. Cappella Sistina, Roma.

Machines will change the world, they say. They will empower humans to achieve things beyond our imagination, solving incredibly complex conundra in data interpretation and projecting us into a future of predictive diseases and infallible trading strategies. They might not be great at everything (yet), but it surely is just a matter of time.

It turns out that much-praised machine learning tends to be not as good as human learning in things where humans are spectacularly good at already. The ultimate purpose of deep learning, defined as the tentative to solve a non-linear optimisation problem through the training of stacked…

Thoughts and Theory

Take a round trip into infinity without stepping out of the room

Photo by Bruce Tang on Unsplash

I often draw inspiration about reality, and about how we humans fit (although imperfectly), from mathematics. The day I understood what kernels were actually doing for me remains among those memorable moments of awe.

Data scientists and machine teachers are surely familiar with the concept of kernel trick. They studied it, often understood it, even just for a second, and then quickly shelved it in the back of their minds. There are tens of technical papers and posts about kernels and what they mean for a data scientist. …

Luca Prosperi

Avant-garde, mathematics, chemotherapy, and a fair amount of extreme endurance sports. The secret is in the ability to sustain long stretches of boredom.

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