Canada-based Scotiabank has announced a three-year sponsorship of AI firm NextAI, providing more than $1 million in funding to help build entrepreneurship in in the industry. The bank will also provide speakers, host events and support participants. NextAI, launched in 2016, aims to bring international talent to Canada to work on emerging AI solutions by providing access to capital, networks, education and mentors. "NextAI is proud to work with a digital leader like Scotiabank to advance AI technology and young entrepreneurs in Canada," says Anthony Lacavera, Co-Chair of Next Canada. "We have incredible talent and capabilities in this country, and Scotiabank is a key driver in maintaining our place as a world leader in machine learning."

The world's best professional poker players appear to have found their match: An artificial intelligence developed by researchers from the Carnegie Mellon University (CMU). The AI dubbed Libratus has already accumulated winnings of nearly $800,000 against human poker professionals at the Brain Vs. The human players compete to win shares of the $200,000 prize while Liberatus aims to be the first computer program to win in a professional poker tournament. Many AI researchers consider poker to be among the hardest games for computers to beat humans at. How AIs fare against human players when performing tasks has long been used as a measure of progress in the field of AI research.

Last spring the startup Flow Health began a five-year contract with the Department of Veteran Affairs to examine all historic and ongoing medical records. The startup will use information obtained from those records to train artificial intelligence to, among other things, fight illness and predict disease for the more than eight million people cared for by the Department of Veteran Affairs. Advice and predictions from Flow Health will be presented to health care professionals through Vista, the DoD's open source system for electronic medical records. Doctors can then choose to apply or ignore the advice drawn from the VA's vast storage of medical records. "When a veteran comes in and presents certain clinical symptoms, we can better understand and make predictions about'What is the likely diagnosis? What is the best diagnostic test? What's the best care pathway?' and so forth," CEO Alex Meshkin told VentureBeat in a Skype interview.

Artificial Intelligence is when a machine mimics the cognitive functions that humans associate with other human minds, such as learning and problem solving, reasoning, problem solving, knowledge representation, social intelligence and general intelligence. The central problems of AI include reasoning, knowledge, planning, learning, natural language processing perception and the ability to move and manipulate objects. Approaches include statistical methods, computational intelligence, soft computing and traditional symbolic AI. Many tools are used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics. AI platform is defined as some sort of hardware architecture or software framework (including application frameworks), that allows software to run.

This article is by Mark-Hans Richer, founder and president, Richer Inc., and former CMO of Harley-Davidson. It's post-CES season and naturally all the buzz is about cool, futuristic things that will change the world as we know it. And nothing is more buzzy than AI and Machine Learning (VR and AR are so 2016...). Most of those who strolled the wide alleys of Las Vegas' convention halls earlier this month--and especially the creative marketing community--buzzed about what they saw as cutting-edge cool, the zeitgeist that every creative person wants to be on the edge of. But what if the tech that is so attractive suddenly turned on its acolytes?

Welcome to the second edition of D/SRUPTION Magazine addressing the key questions around disruption, innovation and digital transformation. A big thank you to all of our expert contributors for sharing their thoughts on the technologies and business models transforming the business world. Signing In – Is the world about to finally shake off its reliance on high cost oil? Day In The Life – Accenture's Chief Analytics Officer Narendra Mulani gives a glimpse into the life of an innovator AI Versus Skill Sets – How your future depends on whether you have a'proficiency' or a'pivotal' role in your business Innovation – Europe's largest innovation ecosystem is in. . . If you are interested in writing an article for D/SRUPTION magazine or the disruptionhub.com

Robert Morley, chief operating officer at Excello Law, examines the use of AI in the legal industry. Alongside Brexit and Donald Trump, artificial Intelligence (AI) kept headline writers working overtime in 2016 – each competing for our attention in a world of increasing uncertainty. Online, a clear winner has emerged from this unlikely trio of scary topics: AI returns nearly two billion results in Google search, whereas'The Donald' scores a more modest 368 million and Brexit a mere 108 million. Among articles and blogs about the future of law firms, AI has similarly dominated attention as the number one theme. Underpinned by dystopian visions of lawyers being replaced by robots and the growing ranks of tech companies dedicated to replacing the human element from much of day-to-day legal practice, the future for the lawyer has seemed bleak.

A lot of exciting new technologies are emerging or maturing that will likely play an increasingly important role in our lives and help transform businesses and industries in the coming months and years. "Emerging technologies may have differing cyber security concerns than traditional IT systems, especially if they have components that impact the physical world, such as autonomous vehicles and smart medical devices," said Dan Klinedinst, senior vulnerability analyst in the CERT Division of the Software Engineering Institute at Carnegie Mellon University. "Because of this we plan to examine a dozen technologies that we expect to show emerging impacts on everyday life in 2017 and into the future," Klinedinst said. Autonomous cars - There are now autonomous cars already driving passengers on the road, so the autonomy element is becoming more of a factor because life and personal safety are now part of the risk. Commercial autonomous aerial vehicles - Most commercial drones are operated by pilots or fly on a predetermined path.

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An algorithm watching a movie trailer is a project by Lasse Korsgaard and Andreas Refsgaard from the creative coding studio Støj, that tries to explore how an object detection algorithm experiences a movie trailer. Object detection is the process of identifying specific objects such as persons, cars and chairs in digital images or video. For most humans this task requires little effort regardless of how the objects may vary in different sizes, scales and rotations or whether they are partially obstructed from view. For long these tasks have been difficult for computers to solve, but recent developments have shown impressive improvements in accuracy and speed, even while detecting multiple objects in the same image. We wondered what a fast paced movie trailer would look like seen through the lens of an object detection algorithm.