competition


Tenure Track Position in Artificial Intelligence - Competition No. A105033663

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The Department of Computing Science at the University of Alberta invites applications for tenure-track or tenured faculty positions at all levels. The University of Alberta is home to over 31,000 undergraduate students, 7,600 graduate students, and 600 postdoctoral fellows. A successful candidate for the position may be considered as a nominee for, a funded/endowed research chair position, e.g., Canada Research Chair (CRC), in the Faculty of Science, if the appointment advances the strategic considerations of the Department of Computing Science, the Faculty of Science and the University of Alberta. For further information please email the Department Chair's Executive Assistant at cs.ea@ualberta.ca To assist the University in complying with mandatory reporting requirements of the Immigration and Refugee Protection Act (R203(3)(e), please include the first digit of your Canadian Social Insurance Number in your application (within your cover letter).


Elon Musk thinks AI is a bigger threat than North Korea

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But according to Elon Musk, the rise of artificial intelligence (AI) poses a much greater threat to humanity than Kim Jong-un's belligerent regime in Pyongyang. The Tesla and SpaceX chief executive has long warned of the dangers of AI and issued his latest opinion after a bot from OpenAI defeated some of the world's best players in in a professional gaming competition. Musk has previously urged governors to legislate for safe uses of AI, stating that robots could replace humans in any kind of job and could be incentivized to harm humans. Musk shot back that Zuckerberg's understanding of the subject was "limited."


Capital Markets trends: mid-year update

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And, while compliance, costs, competition, and capital are still the headline drivers for most new initiatives, there is some acceptance that big data and analytics are key for a successful adoption of innovations such as artificial intelligence (AI), machine learning (ML), platform-as-a-service (PaaS), fintech, regtech, and other areas. More importantly, there are already specific working use cases of AI and its ML cousin, delivering practical and tangible benefits across investment banks. The biggest headway for AI and ML has so far been around areas requiring automation, in the back office, post-trade areas, and in regulatory compliance. There is no doubt that regulatory initiatives continue to dominate activity, both from a business model and cost perspective.


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I asked the coder on the project how he trained his model, and he said he didn't build a model, just used the facial recognition library in OpenCV. Because there are a new level of resources available, you can go from concept to finished product in a few days -- and if you are thinking even bigger, with the pieces as products not process, you can use that ease of process to create on a much larger magnitude scale. Efficiency of Intoxication: The TikiTron uses classic cocktail recipes, and carefully calibrated pumps to deliver consistently excellent cocktails -- if I do say-so myself (I wrote the code.) In short, it looked like a science experiment in process, not a polished bot.


Computers vs humans: 6 times AI has beaten humans in competitions

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This year has seen an artificial intelligence system beat professional poker players at a notoriously difficult game for machines to master. In 2016 a system built by Google-owned AI company DeepMind called'AlphaGo' beat South Korean champion Lee Sedol at the fiendishly complex game'Go'. Sedol won just one game to AlphaGo's four across a five-match series. It's far from the first time that AI has proved to be better than human intelligence at winning games: chess, draughts, Connect Four, Othello and backgammon are just a few that they have come to dominate.


You Should Accept the Occasional Faults by Machine Learning

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Based on these 2 facts, there is one most important conclusion we can draw, we should not write deterministic code based on the outputs of the machine learning algorithms. This information about machine learning has greater impact on the software developed which uses prediction of machine learning algorithms in their software architecture. We use a CNN based deep learning algorithm to classify the objects that needs to be picked with 99% accuracy on our training dataset. Most of the state-of-art machine learning algorithms(SVM, Random forest, CNN etc) provide a confidence parameter for their predictions.


8 Ways Intelligent Marketers Use Artificial Intelligence

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Albert, an artificial intelligence marketing platform, provides a service – autonomous media buying. Frank, another AI-powered PPC tool, uses machine learning to find the best paid channels to deliver ads to your selected target audience. Key takeaway: Artificial intelligence makes it possible to send personal curated emails to every single customer. Vidora, for instance, provides intelligent AI-based churn prediction to proactively keep your churning customers engaged.


Why Businesses Should Embrace Machine Learning - Dataconomy

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Google was the first company to realize the importance of incorporating machine learning in business processes. This is just one example of how machine learning processes in the recording and processing of data can help businesses grow. With the introduction of automated processes, businesses have become increasingly consumer-centric. Incorporating automated processes to record inventory stock and purchase order data is not a luxury, it's a necessity in today's world.


The Internet of Sporting Things: Internet of Things Blog

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Real-time insights generated from connected stadiums and even connected athletes are changing coaching styles, training approaches and the way fans engage with what they are seeing. In preparation for last year's Olympic Games, the IBM jStart team designed a digital training solution for the USA Cycling team. The solution pulled together all data sources that were part of an IoT solution into a single dashboard, giving the team real-time, actionable insights that helped take them from fifth place in world competition to a gold medal in the 2016 World Championship and silver in the 2016 Olympics. This is just a quick glimpse into how the sporting IoT can enhance fan engagement and provide athletes and coaches with real-time, actionable insights from data.


Why Marketers Need To Double Down On Artificial Intelligence

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Did you know you can use artificial intelligence to growth hack social media engagement? With social media growing quickly alongside artificial intelligence technology (see below), it's only natural for the two to be mentioned together. Imagine if you would have ignored the power of social media marketing five years ago. Regardless of your industry, company size, or marketing strategy, one thing will never change: there will always be competition.