Yann C.
AI Research Engineer & Data Scientist

About Yann

Key Experiences

Engineer and former startup founder working in AI research
Passionate about science, music and literature, I earned a vibro-acoustic engineering diploma in a National Superior Engineering School. Then I founded a start up with two partners to develop and manufacture acoustic and electronic music instruments. This start up experience got me closer and closer to the field of AI as I was diving into numerical device development for the instruments, meeting more and more AI start ups and working on other creative projects. AI took a big place in my mind and I became passionate about it. After training myself mostly on MOOCS, I had the opportunity to work in research in the Amaris Lab and am now focusing on the Hierarchical Temporal Memory theory to build new AI algorithms.

Current Position

I try to build neocortical based Machine Learning algorithm
One of our goal in the Amaris lab is to dive into AI research. The Hierarchical Temporal Memory is a neocortical and bioconstrained framework on which we may build new kind of Machine Learning algorithms. We believe that the futur of AI lies in better understanding and modeling of some mechanisms that operate in the brain in order to build more effective, elegant and informative systems. A growing community has built itself around this focus and we are part of it. Starting from this framework and other readings, my goal is to build proof of concepts of Machine Learning applications to help develop this focus.

Main Motivations

Working on an exciting theory about Human and Intelligence
I believe that AI may play a key role in our societies' transformations. We are facing worldwide issues such as food production, energy consumption, population growth, society instabilities, etc. and one of the common vectors here is the complexity of modeling and understanding it. AI may help us to better understand and face these issues. But reading theories about the brain goes beyond the task of building Machine Learning algorithms and solving problems. It feeds knowledge and sometimes gives an embryo of explanation for our behavior and the way we react to the world. It helps to question the way we live and what we are. I love to read philosophy and science literature, play music, go to art exhibitions and always find it amazing how, most of the time and even while surfing..., this knowledge echoes into my reactions. The path to build AI systems might nicely feed in to our Human knowledge, as well as many other fields.

Top Advice

Read books and papers
In order to be able to find new solutions and be creative, my thinking is that you first need to get a wide range of inspiration from others and have a good wealth of knowledge. This would increase the capacity of turning a problem around in order to see it from a different perspective. Literature, philosophy, science, poetry, etc. are all manifestations of our different representations of the world and I think it helps us to better understand what is hidden behind the problems we are asked to solve. It also helps us to better understand ourselves.

Amaris

Amaris is an independent, international Technologies and Management Consulting Group. Created in 2007, Amaris is already established in over 50 countries and supports more than 750 clients worldwide throughout their project's lifecycle. Our expertise covers five areas of innovation: Business and Management, Information Technologies, Engineering and High Technologies, Telecommunications and Biotech and Pharma. With more than 65 offices across the world, the Group offers proximity support to its clients in all their locations and many opportunities of international careers for employees.

In 2018, Amaris aims to reach a turnover of 260 million euros, 5000 employees and to develop its workforces with the anticipation of a further 2000 new job openings. We expect to triple our workforce within the next few years and reach a leading international position in independent consulting.

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