Here is the fourth article of my series concerning famous Data Scientists. Today we will speak about the prodigy Jürgen Schmidhuber; who since his fifteen has as goal to build a self-improving Artificial Intelligence (AI) smarter than himself, then retire.
So we will follow the following steps.
(1) Who is this Data Scientist?
(2) What is his work about?
(3) How can I benefit of such learning insights in my career path & theme selection?
Who is this Data Scientist?
Being a German-born (January 17, 1963), Jürgen Schmidhuber is a computer scientist working in the field of artificial intelligence and deep learning. Being considered as a pioneer of this field, an article from Nytimes even titles as “When A.I. Matures, It May Call Jürgen Schmidhuber DAD”. Author of publications dating from early 2000, the latter focuses on artificial intelligence (AI) to the core.
In 2014, he formed a company, Nnaisense, to work on commercial applications of artificial intelligence in fields such as finance, heavy industry and self-driving cars. He is also a co-director of the Dalle Molle Institute for Artificial Intelligence Research in Manno, in Ticino in southern Switzerland.
What is his work about?
Beyond his contribution to artificial intelligence research and deep learning, Schmidhuber is known to have pioneered self-improving general problem solvers since 1987, and deep learning neural networks since 1991.
Often referred as the man the first self-aware robots will recognize as their papa, Schmidhuber is a massive contributor in algorithm by forming the foundations of many of the AI systems. Those that nowadays allow us to speak to our computers or embedded in our smartphones today enabling us to translate Mandarin into English for example. These foundations also includes outstanding technology marvels as Google’s voice recognition and Google Translate.
Schmidhuber received prestigious awards through his career such as: Helmholtz Award of the International Neural Networks Society (2013) and the Neural Networks Pioneer Award of the IEEE Computational Intelligence Society (2016). In addition he is a member of the European Academy of Sciences and Arts.
How can I benefit of such learning insights in my career path & theme selection?
Schmidhuber is a passionate artificial intelligence expert before being a Data Scientist. Being among those finding his life goal in his teen days, the latter is indeed a source of inspiration. However, I don’t think that I will study computer science to this extent and get through the artificial intelligence business until developing robotics related stuff with self-improving intelligence algorithms. Keeping in mind that I am an marketing-economist profile, I prefer to understand data rather than using it to create robots. Nevertheless, I think that considering his approach to data I really will consider his insights about it in my learning track.
Conclusion : Schmidhuber’s heritage is massive and impressive in the artificial intelligence field. On top of that, the latter do brings in great discoveries in the artificial intelligence field by contributing in building the machines of tomorrow while shaping our present interactions with technology. However, Schmidhuber is a computer engineer and is inclined to do research work related to his passion of robotics and applications of artificial intelligence. Thus, Schmidhuber , could not be considered as a role model for me due to my career goals being more business orientated rather than applying artificial intelligence to robotics. Nevertheless the latter remains a “not to be missed” reference in the field of Data Science in his specific niche.