The two-day bridge card game tournament in Paris concluded with AI defeating 8 world champions. NukkAI, a French firm formed by Véronique Ventos and Jean-Baptiste Fantun in March 2018, made the announcement.
The NukkAI competition challenges human champions to play 800 consecutive deals divided into 80 sets of ten.
“This is something that humans do after enough experience and I was pleasantly surprised that a robot mimics typical human skills,” said Nevena Senior. Senior is a many-times world bridge champion for England and one of NooK’s challengers.
“What we’ve seen represents a fundamentally important advance in the state of artificial intelligence systems,” said Stephen Muggleton. Stephen is a professor of machine learning at Imperial College London.
“Most of what the general public have heard in recent years about machine learning is based on black-box systems such as AlphaGo, which is unable to explain to human beings how decisions are being made,” he added.
It is a hybrid of rule-based and deep learning algorithms
NooK follows a “white box” or “neuro symbolic” method. Instead of playing billions of rounds of a game, it learns the rules of the game and then improves its performance via practice. It is a hybrid of rule-based and deep learning algorithms.
“The NooK technique learns in a much more human-like manner,” Muggleton said.
Moreover, NukkAI intends to make AI models more transparent, make compliance easier, improve model performance, and eliminate ethical bias. NuX is an interactive AI tool customizable for each domain. It proposes effective solutions while delivering natural language explanations tailored to the user’s profile. It has customization for a variety of industries, including aeronautics, education, cybersecurity, and defense. However, this generic solution has potential in practically all company verticals since NuX enhances performance while reacting to issues of responsibility and transparency.