We need some new mathematical models including those that account for security — Arutyun Avetisyan, Director, Institute for System Programming of the Russian Academy of Sciences.
We need new science, new mathematics. We need science in which the results will be clear not only to scientists, but to general public, because we see new technology and we want to understand how it works — Stanislav Smirnov, Fields Laureate; Professor, University of Geneva.
We cannot improve the performance of neural networks without mathematics. We cannot use them to solve practical problems — Terrence Sejnowski, Professor, Laboratory Head of the Computational Neurobiology Laboratory, Salk Institute for Biological Studies; Distinguished Professor, The Biological Sciences at University of California San Diego.
If you do not provide explanations, people will not accept the result. Therefore, we need to know how AI functions from the mathematical point of view — Stephen Brobst, Chief Technology Officer, Teradata .
Perhaps the most important thing now is to reduce the role of humans in machine learning, that is we need technology aimed at solving this problem. <…> Not only mathematic, but also engineering approaches — Arutyun Avetisyan, Director, Institute for System Programming of the Russian Academy of Sciences.
There has to be as little human as possible, because it slows down the research, makes it not as reliable and fast as you want. <…> Almost all algorithms used in AI are biased. That bias comes from humans — Stephen Brobst, Chief Technology Officer, Teradata .