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Haskayne scholars use artificial intelligence to help detect fraudulent websites

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The University of Calgary acknowledges the traditional territories of the people of the Treaty 7 region in Southern Alberta, which includes the Blackfoot Confederacy (comprised of the Siksika, Piikani, and Kainai First Nations), as well as the Tsuut'ina First Nation, and the Stoney Nakoda (including the Chiniki, Bearspaw and Wesley First Nations). The City of Calgary is also home to Metis Nation of Alberta, Region 3. The University of Calgary acknowledges the impact of colonization on Indigenous peoples in Canada and is committed to our collective journey towards reconciliation to create a welcome and inclusive campus that encourages Indigenous ways of knowing, doing, connecting and being.


Quorum receives research funding for Machine Learning project

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CALGARY, Alberta, July 06, 2021 (GLOBE NEWSWIRE) -- Quorum Information Technologies Inc. (TSX Venture: QIS) (Quorum) announced today that it is receiving advisory services and funding of up to $724,746 from the National Research Council of Canada Industrial Research Assistance Program (NRC IRAP) to support a research and development project to consolidate Quorum's dealership data and add machine learning capabilities to its Cloud-based applications. The NRC IRAP support is the next step in a process started in 2020 when Quorum launched QAnalytics – an enterprise reporting tool for the Quorum suite of products powered by Microsoft Power BI. QAnalytics is now utilized by 30% of Quorum's XSellerator Dealership Management System (DMS) customers. "QAnalytics has changed how we manage our 11 franchised dealerships in our auto group," stated Tim Davis, CEO of Davis Auto Group. "The real time metrics that QAnalytics provides for all aspects of our dealership's operations allow our management team to make confident, data-driven decisions." Quorum's next step is to strategically consolidate dealership data from its 1,025 customers on Microsoft Azure Synapse, enabling QAnalytics to deliver enhanced critical Business Intelligence insights into dealership operations and provide a consolidated dataset for Machine Learning projects.


Data Science is Where to Find the Most AI Jobs and Highest Salaries - AI Trends

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Jobs in data science grew nearly 46% in 2020, with salaries in the range of $100,000 to $130,000 annually, according to a recent account in TechRepublic based on information from LinkedIn and LHH, formerly Lee Hecht Harrison, a global provider of talent and leadership development. Related job titles include data science specialist and data management analyst. Novacoast, which helps organizations build a cybersecurity posture through engineering, development, and managed services. Founded in 1996 in Santa Barbara, the company has many remote employees and a presence in the UK, Canada, Mexico, and Guatemala. The company offers a security operations center (SOC) cloud offering called novaSOC, that analyzes emerging challenges.


Attabotics Partners With AltaML and Amii to Bolster Artificial Intelligence and Machine Learning …

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New Collaboration Will Support the Growth of Calgary as an Innovation Hub for Emerging Technologies. Attabotics, the 3D robotics supply chain …


Artificial Intelligence has learned to estimate oil viscosity

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A group of Skoltech scientists developed machine learning (ML) algorithms that can teach artificial intelligence (AI) to determine oil viscosity based on nuclear magnetic resonance (NMR) data. The new method can come in handy for the petroleum industry and other sectors, which have to rely on indirect measurements to characterize a substance. The research was published in the Energy and Fuels journal. An important parameter of oil and petrochemicals, viscosity has implications for production and processing, while helping to better understand and model the natural processes in the reservoir. Standard oil viscosity assessment and monitoring techniques are very time and money consuming and sometimes technically unfeasible.


Artificial Intelligence has learned to estimate oil viscosity

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A group of Skoltech scientists have developed machine learning (ML) algorithms that can teach artificial intelligence (AI) to determine oil viscosity based on nuclear magnetic resonance (NMR) data. The new method can come in handy for the petroleum industry and other sectors that have to rely on indirect measurements to characterize a substance. The research was published in the Energy and Fuels journal. An important parameter of oil and petrochemicals, viscosity has implications for production and processing, while helping to better understand and model the natural processes in the reservoir. Standard oil viscosity assessment and monitoring techniques are very time and money consuming and sometimes technically unfeasible.


Joanne Fedeyko posted on LinkedIn

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The AltaML Applied AI Lab launches today: https://lnkd.in/gbsggVF Each cohort of interns will work with industry partners Suncor, TransAlta, ATB Financial, Spartan Controls on applied #AI and #ML projects in #YYC. The AI Lab operates with support from Calgary Economic Development.


The Rise Of Restaurant Robots Amidst Pandemic Measures

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In a restaurant landscape where lean profit margins are getting even slimmer due to the necessary COVID-19 safety measures of distancing, staying afloat is an increasingly difficult challenge. Small wonder, then, that some operators are using whatever means they can to stand out from their competition. Robot waiters, although not a new phenomenon, are making headlines around the world again, but this time with a socially distanced twist. At Claypot Rice, a Chinese restaurant in Calgary, robot greeters and servers chat with guests, take orders and run food from the kitchen. These are typically three distinct roles performed by humans, a fact not lost on owner Alex Guo.


Blackline Vision Transforms the Future of Workplace Safety Through Artificial Intelligence

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Blackline Safety Corp. (TSX.V: BLN), a global leader of gas detection and connected safety solutions, announced today that its Blackline Vision data science team is launching testing with select clients for its first artificial intelligence (AI) software module, which will help organizations gain further operational insights for improved workforce safety, quality and productivity. This press release features multimedia. Blackline Vision's AI Gas Leak Detection module focuses on the automatic early detection of gas leaks by identifying patterns in low-level gas readings streamed to the Blackline Safety Cloud from G7 wearable gas monitors. Advance detection and proactive maintenance will enable gas leaks to be identified early, minimizing unexpected future downtime while keeping everyone safe. The initial client testing phase will run through December 2020.


Rise of the (Good) Machines: A Blueprint for Action -- ABSI Connect

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Describe why we--the "social good sector"--should care about and help shape the role AI plays in our society