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"How'd you get started with machine learning and data science?" [Interview]

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In 2017, my friends and I were building a web application (very primitive) to link together local gyms in our area. We had the problem of not being able to train with each other whenever we wanted. So we had the idea of making the Airbnb of fitness facilities, somewhere you could go and book time/space and workout with who you wanted. After a while, we realised many gym's business models depend on people not showing up. So us trying to add more people through our fancy little app (called AnyGym) wasn't really going to fly.


AI Will Add $15 Trillion To The World Economy By 2030

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Artificial intelligence (AI) is no longer the stuff of science fiction. The technology is already disrupting multiple industries, many of which impact you on a daily basis. Own an iPhone X? Its facial recognition system is powered by AI. Ever been redirected by Google Maps because of an accident or construction ahead? And those are just a couple of small examples.


Artificially intelligent robots are being designed to help people in their homes

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The Toyota Research Institute (TRI) is creating artificially intelligent robots that can assist and empower people in their own homes, allowing older generations to age in place and with dignity. According to the United Nations, the global population over the age of 65 is projected to more than double over the next three decades, meaning that over 1.5 billion people around the world will be 65 or older by the year 2050. This unprecedented, impending population shift has inspired TRI to seek options to address the social and economic impacts the graying population will have on the world. TRI says it is focused on creating the technological breakthroughs necessary to make assistive home robots a reality, despite anticipated difficulties. Operating and navigating in a home is, understandably, very challenging for robots, according to the institute, since "every home is unique."


Predictions 2021: The Time Is Now For AI To Shine

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We've heard this oscillating narrative over the last few years (and will continue to in the future), but in this unprecedented year, one thing became clear -- enterprises need to find a way to safely, creatively, and boldly apply AI to emerge stronger both in the short-term and in the long-term. The kinks in AI still remain: lack of trust, poor data quality, data paucity for some, and a dearth of the right type of tools and talent. The time is now for AI to shine. This post was written by Srividya Sridharan, VP & Research Director at Forrester, and it originally appeared here.


10 Must-Read AI Books in 2020

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Whilst we can all be consumed by the quick YouTube video or blog article for learning, sometimes it's nice to get engrossed into a good book. See more AI insights here. A Scientists Quest to reclaim our humanity by bringing emotional intelligence to technology. The recent release from Affectiva CEO and Founder, Rana el Kaliouby & Carol Colman addresses many questions including how we humanize our technology and how we connect with each other. To combat our fundamental loss of emotional intelligence online, Rana cofounded Affectiva, the pioneer in the new field of Emotion AI, allowing our technology to understand humans the way we understand one another.


Machine Learning In The Payments Industry

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How are Machine Learning Models going to change the Payments Industry? It wasn't so long ago that CEO's and large commercial banks were convinced that more bank locations would always be necessary to service and acquire new customers. However, in the last ten or five years we have seen an emergence of Digital Banks, that have never and will probably never own a physical location, but still manage to grow their user base and add additional services including insurance, mortgages, and loans. In the Banking industry, we have seen companies like First Bank of Nigeria, United Bank of Africa, Zenith Bank, Guaranty Trust Bank dominate for well over twenty years. However, just like the digitization of banking has forced incumbents to change their strategies, the digitization of payments has provided companies like Flutterwave, Paystack, Remita and lately even Korapay to take up some of the market shares, not by focusing on traditional businesses, but by focusing on startups who have grown to overshadow and sometimes even bankrupt traditional businesses.


Boston Dynamics to give Spot a robot arm and charging station

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Boston Dynamics announced that it has developed a robot arm for its "Spot" robot and also a charging station. Both will be available for purchase this spring. The robot Spot made quite a splash on the internet last year, thanks to its YouTube videos. The four-legged yellow-bodied robot was shown marching its way autonomously and untethered through a wide variety of terrain in ways reminiscent of a dog; hence its name. The robot dog is available for sale.



Massachusetts man charged with kidnapping, assaulting woman he met on Tinder

FOX News

Tinder, the most popular dating app in the world, has banned teens under the age of 18 but it's not stopping them from signing up. A Massachusetts man is accused of kidnapping and assaulting a woman he met on Tinder, threatening to kill her and her child if she went to the cops, authorities said. Peter Bozier, 28, was arrested Tuesday during a traffic stop in Sudbury after the victim told investigators she was severely beaten and strangled while being held against her will at Bozier's home, police said. The victim said the harrowing ordeal began a day earlier, police spokesman Lt. Robert Grady told the MetroWest Daily News. Grady said the woman managed to "release herself from the situation" and then went to a hospital in Burlington, where hospital staffers contacted police, the newspaper reported.


High-confidence approach for artificial intelligence-based models

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They call it artificial intelligence--not because the intelligence is somehow fake. It's real intelligence, but it's still made by humans. That means AI--a power tool that can add speed, efficiency, insight and accuracy to a researcher's work--has many limitations. It's only as good as the methods and data it has been given. On its own, it doesn't know if information is missing, how much weight to give differing kinds of information or whether the data it draws on is incorrect or corrupted.