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Smart Cities: Utopia or Dystopia?

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New electrical technology is driving change, and sophisticated communication infrastructure will lead to even more. Public transportation is a cornerstone of large cities, and strong infrastructure can lead to greater service. Bus routes will become more reliable as real-time location data lets AI-driven systems send out buses where they're needed or hold buses back for greater reliability. Those interested in romance no longer have to head down to the pub to find potential partners when online dating provides great tools for meeting people online and arranging dates.


Machine Learning 101 & Predictive Buyer Scoring: How to Personalize your UX for Conversion E-commerce Nation

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As the e-commerce industry continues on its path of innovation, AI has taken to the forefront of innovating the customer experience. What was once science fiction is now very much a reality- and online retailers are jumping on board and trying out new ways to implement this into their business models. This webinar, "Machine Learning 101 and Predictive Buyer Scoring: How to Personalize your UX for Conversion" will delve into these topics, teaching you how to use AI that learns about your customer's behavior from the time they land on your page. Our guests, Jerry Abiog and Suresh Mahadevan of DXi will give you insight into the world of AI and its implications for e-commerce UX personalization.


Machine Learning 101 & Predictive Buyer Scoring: How to Personalize your UX for Conversion E-commerce Nation

#artificialintelligence

As the e-commerce industry continues on its path of innovation, AI has taken to the forefront of innovating the customer experience. What was once science fiction is now very much a reality- and online retailers are jumping on board and trying out new ways to implement this into their business models. This webinar, "Machine Learning 101 and Predictive Buyer Scoring: How to Personalize your UX for Conversion" will delve into these topics, teaching you how to use AI that learns about your customer's behavior from the time they land on your page. Our guests, Jerry Abiog and Suresh Mahadevan of DXi will give you insight into the world of AI and its implications for e-commerce UX personalization.


Being smarter means you are more likely to use stereotypes

Daily Mail

The participants were shown male faces with varying facial features, such as wide and narrow noses, along with descriptions of their past behaviour, such as'sent flowers to someone who was sick,' or'laughed and jeered at a homeless person.' Using Amazon's Mechanical Turk tool, the researchers conducted six online experiments, including a total of 1,257 participants. Using Amazon's Mechanical Turk tool, the researchers conducted six online experiments, including a total of 1,257 participants. 'Finding that higher pattern detection ability puts people at greater risk to detect and apply stereotypes, but also to reverse them, implicates this ability as a cognitive mechanism underlying stereotyping,' Freeman says.


Personalized technology is helping researchers make unanticipated connections

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Homewood's focus is on developing new technologies for dynamically personalizing the look and feel of games, experimenting with machine learning and how social data can be used. He's doing this work in the context of gaming, focusing on the personalization of gaming with actual data from people's lives: Imagine a game where the visuals are specific to you, your friends or the bands you love for example. "Just as Homewood studies data from behaviors online, Mendeley Suggest uses sophisticated big-data algorithms to look at online behaviors in the research process," Appleton explains. "It will then suggest relevant research and other scientists to potentially collaborate with.


How artificial intelligence is defining the future of brick-and-mortar shopping

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An example is Macy's On Call, a mobile web application that uses the Watson's cognitive computing power and location-based software to help shoppers get information while they're navigating the company's stores. As is with all machine learning–based platforms, every customer interaction makes On Call smarter. Everseen, a software company founded in Cork, Ireland, uses computer vision and AI algorithms to analyze video feeds from retailers' staffed registers and self-checkout feeds and automatically detect when a product is left unscanned. Go uses computer vision, machine learning algorithms and IoT sensors to understand customers interactions across the store.


Next Leap for Robots: Picking Out and Boxing Your Online Order

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Automation companies such as Kuka AG KU2 -0.04%, Dematic Corp. and Honeywell International Inc. unit Intelligrated, as well as startups like RightHand Robotics Inc. and IAM Robotics LLC are working on automating picking. Hudson's Bay is testing RightHand's robots in a distribution center in Scarborough, Ontario. Swisslog, a subsidiary of Kuka, sells picking robots that can be integrated into the company's other warehouse automation systems or purchased separately.


artificial-intelligence-holds-great-potential-for-both-students-and-teachers-but-only-if-used-wisely-81024

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But researchers in AI, and related fields such as learning analytics, are also thinking about how AI can provide more effective feedback to students and teachers. This is the use of technology – including AI – to provide people with information that helps them make better decisions and learn more effectively. So, for instance, rather than focusing on automating the grading of student essays, some researchers are focusing on how they can provide intelligent feedback to students that helps them better assess their own writing. Intelligence amplification helps counteract these concerns by keeping people in the loop.


Next Leap for Robots: Picking Out and Boxing Your Online Order

Wall Street Journal

Automation companies such as Kuka AG KU2 -0.04%, Dematic Corp. and Honeywell International Inc. unit Intelligrated, as well as startups like RightHand Robotics Inc. and IAM Robotics LLC are working on automating picking. Hudson's Bay is testing RightHand's robots in a distribution center in Scarborough, Ontario. Swisslog, a subsidiary of Kuka, sells picking robots that can be integrated into the company's other warehouse automation systems or purchased separately.


CIS 472/572 – Machine Learning – Winter 2015

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Pedro Domingos' Machine Learning course on Coursera: These lectures are very similar to mine – great for review! Homework 1: Written questions due Wednesday, January 21st; programming project due Friday, January 23rd at 11:00pm, by email. Homework 2: Written questions due Wednesday, February 4th; programming project due Saturday, February 7th at 11:00pm, by email. Homework 3: Written questions due Wednesday, February 18th; programming project due Friday, February 20nd at 11:00pm, by email.