…co-director of the Waterloo Artificial Intelligence Institute will help Victory Square companies build next-generation AI and Machine Learning solutions

VANCOUVER, British Columbia, Oct. 09, 2018 (GLOBE NEWSWIRE) --  In a move that will help its portfolio companies build next-generation artificial intelligence and machine learning solutions, Victory Square Technologies Inc. ("Victory Square" or the "Company") (CSE:VST) (OTC:VSQTF) (FWB:6F6), a publicly-traded accelerator focused on Blockchain, Machine Learning, Artificial Intelligence, VR/AR and other immersive technologies, today named prominent AI pioneer Dr. Fakhri Karray to its Advisory Board.

Dr. Karray is the University of Waterloo’s Research Chair Professor in Electrical and Computer Engineering and the co-director of the Institute of Artificial Intelligence. He holds the Loblaw’s Research Chair in Artificial Intelligence, has co-authored two dozen US patents and chaired/co-chaired 14 international conferences in his area of Artificial Portfolio expertise.

“We’re delighted because we believe the addition of Dr. Fakhri Karray to our Advisory Board will help give our portfolio companies a competitive advantage in the global artificial intelligence race fueled by the convergence of emerging technology innovation," said Shafin Diamond Tejani, CEO of Victory Square Technologies. “Our current roster of 23 portfolio companies are working on innovative and disruptive projects in every sector of the global economy and they’ll only benefit from Dr. Karray’s expertise in the fields of AI and Machine Learning (ML).”

A Fellow of the Canadian Academy of Engineering, Dr. Karray has served as the University of Waterloo’s Academic Advisor for Amazon’s Alexa Fund Fellowship Program. He also serves as the president of the Association for Image and Machine Intelligence and is on the Advisory Board of a number of journals and high tech companies in North America (see full bio below).

“With emerging talent, vast amounts of diverse data and a tradition of collaboration between industry and academia, Canada has all of the key elements to lead a truly inclusive AI revolution,” said Dr. Karray. “I’m very pleased to have the opportunity to assist with Victory Square portfolio companies that are developing disruptive technologies and aiming to capitalize on the future AI-driven economy. This not only aligns with my recent research work in the field of operational artificial intelligence, but it will also reflect the Victory Square tradition of technology acceleration.”

Dr. Karray has already begun his work on the Advisory Board of Victory Square, including his role as an advisor to VST’s portfolio companies. 

For further information about the Company, please contact:

Investor Relations Contact - Prit Singh

Email: prit@victorysquare.com
Telephone: 905-510-7636

Media Relations Contact –Shafin Diamond Tejani, Director

Email: media@victorysquare.com
Telephone: 604-283-9166

ABOUT VICTORY SQUARE TECHNOLOGIES INC.

Victory Square Technologies (VST) is an accelerator with 20+ portfolio companies focused on emerging technologies such as: Blockchain, Machine Learning, Artificial Intelligence and VR/AR.
We have a proven process for identifying and investing in extraordinary start-ups who are working on innovative and disruptive projects in every sector of the global economy, including Finance, Health, Real Estate, Insurance, Entertainment and Education. We use our experience, expertise and resources to help grow and scale these portfolio companies, which results in explosive returns for VST and its shareholders. For more information, please visit www.victorysquare.com.

ABOUT DR. FAKHRI KARRAY

Dr. Fakhri Karray is the University Research Chair Professor in Electrical and Computer Engineering and the co-director of the Institute of Artificial Intelligence at the University of Waterloo. He is also the director of the University’s Center for Pattern Analysis and Machine Intelligence. He holds the Loblaw’s Research Chair in Artificial Intelligence. Dr. Karray’s research interests are in the areas of intelligent systems design, augmented intelligence, concept mining, machine learning, and context-aware machines. His work has been applied to intelligent transportation systems, Internet of things, cognitive robotics, medical imaging and natural man-machine interaction. He has authored extensively in these areas and has disseminated his work in journals, conference proceedings, and textbooks He is the co-author of two dozen US patents, has chaired/co-chaired 14 international conferences in his area of expertise and has served as a keynote/plenary speaker on numerous occasions. He has also served as the associate editor/guest editor for more than 14 journals, including the IEEE Transactions on Cybernetics, the IEEE Transactions on Neural Networks and Learning Systems, the IEEE Transactions on Mechatronics, the IEEE Computational Intelligence Magazine. He is the Chair of the IEEE Computational Intelligence Society Chapter in Kitchener-Waterloo, Canada and chaired various committees of the IEEE Computational Intelligence Society. Dr. Karray’s research work has been featured on Discovery Channel, CBC, Globe and Mail, The Record, Reuters, the Daily Mail, Washington Post, Wired Magazine, ViceMedia, and DigitalTrends portals. He is the recipient of the University of Waterloo Best Performance Award. He also received national and international awards, including the Premier Research Excellence Award, the Pattern Recognition Society Best Paper Award, the World Automation Congress’ Anderson Best Paper Award, and the IEEE Appreciation Certificate for Notable Services and Contributions to IEEE and the Engineering Profession. He has served as the University of Waterloo’s Academic Advisor for Amazon’s Alexa Fund Fellowship Program. He is a Fellow of the Canadian Academy of Engineering and serves as the president of the Association for Image and Machine Intelligence and is on the Advisory Board of a number of journals and high tech companies in North America.

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FORWARD-LOOKING INFORMATION

This news release contains “forward-looking information” within the meaning of applicable securities laws relating to the outlook of the business of Victory Square, including, without limitation, statements relating to the completion of the acquisition of an interest in Limitless Blockchain and the timing, cost and terms thereof, the impact of the acquisition on the Company, the strategic direction of the Company, and its goal of broadening its portfolio of interests in innovative companies. Such forward-looking statements may, without limitation, be preceded by, followed by, or include words such as “believes”, “expects”, “anticipates”, “estimates”, “intends”, “plans”, “continues”, “project”, “potential”, “possible”, “contemplate”, “seek”, “goal”, or similar expressions, or may employ such future or conditional verbs as “may”, “might”, “will”, “could”, “should” or “would”, or may otherwise be indicated as forward-looking statements by grammatical construction, phrasing or context. All statements other than statements of historical fact contained in this news release are forward-looking statements. Forward-looking information is based on certain key expectations and assumptions made by the management of Victory Square. Although Victory Square believes that the expectations and assumptions on which such forward looking information is based are reasonable, undue reliance should not be placed on them because Victory Square can give no assurance that they will prove to be correct. Actual results and developments may differ materially from those contemplated by these statements. The statements contained in this news release are made as of the date of this news release. Victory Square disclaims any intent or obligation to update publicly any forward-looking information, whether as a result of new information, future events or results or otherwise, other than as required by applicable securities laws. The Canadian Securities Exchange has neither approved nor disapproved the contents of this news release and accepts no responsibility for the adequacy or accuracy hereof.