Daisy Intelligence awards scholarships to University of Toronto Engineering Science students

Daisy Intelligence awards scholarships to University of Toronto Engineering Science students

Artificial intelligence company to confer a total of $30,000 in support over the next five years. FEBRUARY 24, 2017, TORONTO ON – Daisy Intelligence Corporation, an artificial intelligence software-as-a-service platform, announced today that they will be offering a total of $30,000 in scholarship support for students in the Engineering Science program at the University of Toronto’s Faculty of Applied Science & Engineering. The new Daisy Intelligence Scholarships in Engineering Science will be awarded each year to three students completing their fourth year of study in each of the program’s Electrical and Computer Engineering, Robotics, and Mathematics, Statistics & Finance majors. Three scholarships will be awarded each year based on academic achievement and each recipient will receive a $2,000 Daisy Scholarship. The Engineering Science program at the University of Toronto is one of the most distinguished engineering programs in the world and attracts top students who are looking for an academic challenge. This enriched program is widely regarded as an innovator in engineering education and provides students with excellent preparation in a wide range of engineering, science and mathematical fields. Historically, about half of the program’s graduates pursue post-graduate studies at top graduate schools around the world. “As a U of T Engineering Science alumnus, I wanted to recognize student achievement in one of the best engineering programs in the world. This program is critical to keeping Canada on the leading edge of artificial intelligence and critical to maintaining Canada’s global competitiveness. I am so happy we can do our part in recognizing these high academic achievers in this important program.” said Gary Saarenvirta, CEO of Daisy Intelligence. “This is our...
Daisy Intelligence 24-hour student hackathon winner proves A.I. methods can defeat human designed, rules-based strategy.

Daisy Intelligence 24-hour student hackathon winner proves A.I. methods can defeat human designed, rules-based strategy.

A.I. and parallel computing can develop business strategies and tactics better than the best human brains. FEBRUARY 15, 2017, TORONTO ON – Daisy Intelligence Corporation’s inaugural hackathon, held on January 28-29, 2017 at the University of Toronto’s Faculty of Applied Science & Engineering, showcased the power of artificial intelligence (A.I.) and GPU-accelerated computing. The hackathon also exposed engineering and computer science students to the exciting field of modern A.I. The event was sponsored by NVIDIA, a world-leading GPU hardware manufacturer, and Cogeco Peer 1, a tier-1 data centre company. For 24 hours, students gathered in the Bahen Centre for Information Technology to develop the ultimate tic-tac-toe playing bot, executed on GPU hardware with five seconds of analysis to decide each move. The students were given the opportunity to pre-train their bots prior to the head-to-head double elimination tournament. “We decided to task the students to develop a bot for ultimate tic-tac-toe because this represents a miniature version of the A.I. problem that Daisy Intelligence solves for its corporate retail clients: in a defined, time-constrained environment, make weekly/daily decisions that the clients will execute to maximize profitability,” said Gary Saarenvirta, CEO of Daisy Intelligence. “In the context of the hackathon, this means creating a program that within five seconds, decides moves it will make that will lead to a win. Similar to real-world retail, ultimate tic-tac-toe environments have practically infinite decision spaces – therefore it is not possible for a human mind or even a traditional computer approach to find the optimal strategy. A.I. combined with parallel computing can search more of the decision space than the human mind and would be...