With Israel constantly staying at the forefront of promoting science and technological research, this week, the Tel Aviv University launched its new Multidisciplinary Center for Artificial Intelligence and Data Science during the university’s AI week to encourage research that uses the most advanced methods of both disciples.
TAU President, Prof. Ariel Porat: “The establishment of the AI Center is one more step toward implementing TAU’s vision for advancing groundbreaking, interdisciplinary research that brings together the university’s finest researchers, the high-tech industry, and the community. Not long ago we launched the interdisciplinary Center for Combating Pandemics and over the coming year, we intend to establish more such centers, such as one for climate change and another for healthy aging. TAU’s great advantage is its enormous range of disciplines. Our new interdisciplinary centers will further extend the scope of research, combining different disciplines, from engineering and computer science through life sciences, medicine, and psychology, to economics, management, humanities, arts, and law.”
The center’s aim is to train a new generation of researchers and industrialists who will take Israel to the forefront of the “global AI revolution” in the coming years. “[AI] is expected to impact our way of life in every aspect—from drug development and data-based personalized medicine to defense and security systems, financial systems, scientific discoveries, robotics, autonomous systems, and social issues,” said Professor Meir Feder, who will head up the center.
“It is very important to train human capital in this area, and therefore, the center will provide all TAU students with basic AI education,” he added. The center will work with hundreds of researchers that include scientists on campus and beyond, as well as collaborate with the military, public institutions, and leading universities and research institutes around the world, said Feder.
Prof. Ben-Israel stressed that “the applications of intelligent systems have far-reaching implications for practically every area of modern life, including security, medicine, transportation, automation, retail, customer service, and numerous others. Various AI and machine learning algorithms, together with the enormous increase in computational power, are already beginning to penetrate all areas of our lives, and understanding them requires proficiency not only in the obvious technological disciplines such as computer science, mathematics, and engineering but also in the social, legal, business and even philosophical spheres.”