Livestream event: The fascinating world of AI

by ChessBase
1/18/2022 – During the Tata Steel Chess Tournament, the worlds of Artificial Intelligence and Chess will come together at a unique event called ‘The Game Changer’. The event will take place online on Friday 21 January, starting at 15.30 CET. How is AI used in chess? Could Magnus Carlsen also have become world champion without the use of AI? And more importantly, how can the world of manufacturing adopt lessons learned in the world of chess?

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Innovating faster than ever

Tata Steel is at the forefront of the fourth industrial revolution. By placing advanced analytics at the heart of our innovation programmes, we manage to achieve exceptional results to improve our processes and the quality of our products. Thanks to our knowledge in this area, we can also innovate faster than ever before. The technologies based on Artificial Intelligence (AI) have a huge impact on the manufacturing industry.  

Chess is one of the first areas where Artificial Intelligence has proved its track record. Kasparov lost to computer Deep Blue in 1997. With this, AI showed the world that it can compete with the human brain. Ten years later, Alpha Go defeated the best GO player in the world, Ke Jie. This showed that Alpha Go is even smarter than the human brain.

During the Tata Steel Chess Tournament, these two worlds come together at our event called The Game Changer. The event will take place online on Friday 21 January 2022 from 15.30 – 17.00 CET. Spoken language is English.

What to expect

Moderator Diana Matroos is an anchor at BNR Nieuwsradio and journalist and during this online event she will lead a panel discussion with the manufacturing and chess experts of Artificial Intelligence (AI).

How is AI currently being used at Tata Steel? Learn from case studies at the steel company. Max Welling of Microsoft will share the trends on AI in manufacturing. And who is actually doing the work when it comes to AI? Are they trained data scientists?  

Or could they also be engineers with a good understanding of AI? How is AI used in chess in current games? Could Magnus Carlsen also have become world champion without the use of AI? And more importantly, how can the world of manufacturing adopt lessons learned in the world of chess?

The experts

  • Menno van der Winden - Advanced Analytics Tata Steel
  • Max Welling [pictured] - Research chair in Machine Learning at the University of Amsterdam and Distinguished Scientist at Microsoft
  • Natasha Regan - Co-author of the book Game Changer
  • Peter Heine Nielsen - Chess grandmaster & coach Magnus Carlsen

Max Welling

Please join our world of Artificial Intelligence, and get inspired by the impact of Artificial Intelligence on our industry and society!

Register here now!

How I became World Champion Vol.1 1973-1985

Garry Kasparov's rise to the top was meteoric and at his very first attempt he managed to become World Champion, the youngest of all time. In over six hours of video, he gives a first hand account of crucial events from recent chess history, you can improve your chess understanding and enjoy explanations and comments from a unique and outstanding personality on and off the chess board.

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e-mars e-mars 1/19/2022 10:17
The "AI" term is overused. All depends on the definition of "intelligence". Even modern algorithms and neural networks are far, very far from being intelligent I am afraid to say. These algorithms are single purpose, specialised piece of software, with a lot of horse power underneath unavailable just a decade ago, unable to do anything else but "fitting a curve" AKA fitting a (single) statistical model.
Alphazero cannot talk, nor drive a car, not even solve a sudoku. It can only play chess. If you want it to play Go - like it did prior to chess - you have to literally replace its statistical model (NN) with that one capable of playing Go, and it will stop playing chess... This is not intelligence.
dconterno dconterno 1/19/2022 02:15
Deep Blue was not an AI application. Strategic and tactical motifs are programmed as part of the human chess knowledge programmed in Deep Blue and used in its calculations. As a comparison, with AlphaZero, which is an AI chess playing application, strategic and tactical motifs are created during millions of self-learning games where the AI plays against itself. Only this self-acquired knowledge is used by the AI in calculations during a game. There is no programming of human chess knowledge.
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