Understanding the complexity of your algorithms to ensure their full exploitation
In 1997, a computer managed to beat the reigning world chess champion, Garry Kasparov, for the first time. At the time, this victory was a concrete sign of the superiority of machines over humans in performing certain complex tasks.
However, artificial intelligence was still in its early stages at the time. Since then, the rise of computers has enabled a new generation of algorithms to emerge: algorithms that mimic the workings of the human brain and have the ability to learn. In 2017, AlphaZero became the world’s strongest chess program after only 8 hours of practice and 21 million games played… against itself.
These algorithms are now used in a wide variety of applications and are increasingly important in innovations in all industries. Because of their technical complexity and sometimes abstract nature, the protection of AI algorithms, particularly via patents, requires very specific expertise.