“Acceptance Speech” Frontiers of Knowledge Award 2019 in Information and Communication Technologies

Acceptance speech by Vladimir Vapnik, winner of the 2019 Frontiers of Knowledge Award in Information and Communication Technologies, who was honored alongside Isabelle Guyon and Bernhard Schölkopf for their fundamental contributions to machine learning. His research laid the mathematical foundations for systems capable of learning from examples and led to the development of support vector machines, an essential tool for pattern recognition and data classification in artificial intelligence.

Vapnik reviews the evolution of artificial intelligence from early neural network models to the development of mathematical learning theory. He explains the differences between machine generalization and human intelligence, highlighting the role of abstract ideas, known as predicates, in learning from a small number of examples. Drawing on literature, Plato’s philosophy and mathematics, he argues t

Acceptance speech by Vladimir Vapnik, winner of the 2019 Frontiers of Knowledge Award in Information and Communication Technologies, who was honored alongside Isabelle Guyon and Bernhard Schölkopf for their fundamental contributions to machine learning. His research laid the mathematical foundations for systems capable of learning from examples and led to the development of support vector machines, an essential tool for pattern recognition and data classification in artificial intelligence.

Vapnik reviews the evolution of artificial intelligence from early neural network models to the development of mathematical learning theory. He explains the differences between machine generalization and human intelligence, highlighting the role of abstract ideas, known as predicates, in learning from a small number of examples. Drawing on literature, Plato’s philosophy and mathematics, he argues that the future of machine learning depends not only on understanding algorithms but also on grasping the very nature of intelligence.