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Machine Learning has transformed many aspects of our everyday life, can it do the same for public services? Blog post
The past few years have seen machine learning emerge as one of the trendiest topics within the technology sector as it allows computers to find hidden insights from the volumes of data being collected without being explicitly programmed where to look. The resources available to process it have increased dramatically. One of the exciting aspects about machine learning is that its applications are virtually endless and in fact it has been transforming a wide variety of industries in interesting ways. In this post, I would like to share my experience using machine learning algorithms, in particular how we, at Capgemini, have developed the capabilities to successfully integrate machine learning-based technology into a framework to help improve service delivery in the public sector. Many machine learning applications are all around us: Amazon and Netflix online recommendation systems, Spotify and Pandora's personalised playlists, Facebook's automatic face recognition and friends recommendations, Google's personalised searches and adds, Uber's prediction of customer demand and pre-location of cars, to mention just a few.
Google Builds Custom Processors for Machine Learning
When AlphaGo, Google's artificial intelligence program, defeated champion Go player Lee Sedol earlier this year, everyone praised its advanced software brain. But the program, developed by Google's DeepMind research team, also had some serious hardware brawn standing behind it. The program was running on custom accelerators that Google's hardware engineers had spent years building in secret, the company said. With the new accelerators plugged into the AlphaGo servers, the program could recognize patterns in its vast library of game data faster than it could with standard processors. The increased speed helped AlphaGo make the kind of quick, intuitive judgments that define how humans approach the game.
Introduction to the Artificial Intelligence Ecosystem [On-Demand Webinar]
Watch this webinar, presented by Kris Hammond, Chief Scientist of Narrative Science, to learn about the different subfields of technologies that fall under the umbrella of AI such as machine learning, advanced analytics, and advanced natural language generation. Viewers will finish the webinar understanding how the different AI technologies emulate human reasoning and how they may be able to apply these technologies to their own business.
Is machine learning currently overhyped?
There are reasons to believe that true AI is right around the corner but I don't see it coming from the mainstream AI community. Right now, they are all having a feeding frenzy over a soon to be obsolete technology. There is no question that deep learning is a powerful and useful machine learning technique but it works in a narrow domain: the classification of labeled data. Someone has to go through the data and carefully label each sample according to a category or class. This is kind of lame because this is not the way humans and animals learn.
ROSS Intelligence announces partnership with BakerHostetler
"At BakerHostetler, we believe that emerging technologies like cognitive computing and other forms of machine learning can help enhance the services we deliver to our clients," said Bob Craig, Chief Information Officer. "We are proud to team up with innovators like ROSS and we will continue to explore these cutting-edge technologies as they develop." "BakerHostetler's commitment to the future of the legal practice and ensuring they continue to deliver the highest level of value to their clients completely aligns with our vision at ROSS Intelligence," said Andrew Arruda, CEO/Cofounder. "BakerHostetler has been using ROSS since the first days of its deployment and we are proud to partner with a true leader in the industry as we continue to develop additional AI legal assistants." About ROSS Intelligence ROSS Intelligence began out of research at the University of Toronto in 2014 with the goal of building an AI legal research assistant to allow lawyers to enhance and scale their abilities.
Artificial Intelligence: Law and Policy
The University of Washington School of Law is delighted to announce a public workshop on the law and policy of artificial intelligence, co-hosted by the White House and UW's Tech Policy Lab. The event places leading artificial intelligence experts from academia and industry in conversation with government officials interested in developing a wise and effective policy framework for this increasingly important technology. The event is free and open to the public but requires registration. Jack M. Balkin is Knight Professor of Constitutional Law and the First Amendment at Yale Law School. He is the founder and director of Yale's Information Society Project, an interdisciplinary center that studies law and new information technologies.
Hate ordering fried chicken from human beings? KFC's new restaurant has you covered
Have you ever wanted to order a bucket of fried chicken without having to speak to a single a human being? Now you can! KFC, in partnership with Chinese search engine giant Baidu, has just opened the world's first human-free fast food restaurant in Shanghai, reports SoHu. The intelligent robot concept store, Original (pronounced, "Original Plus"), looks unlike any KFC you've ever seen. The interior is designed in a traditional Chinese garden style with bamboo, flowers, and jade accents. Customers enter through a big circular doorway.
Artificial Intelligence: Law and Policy
The University of Washington School of Law is delighted to announce a public workshop on the law and policy of artificial intelligence, co-hosted by the White House and UW's Tech Policy Lab. The event places leading artificial intelligence experts from academia and industry in conversation with government officials interested in developing a wise and effective policy framework for this increasingly important technology. The event is free and open to the public but requires registration.
How a Chatbot Helped This Vinyl Records Startup Make 1 Million in 8 Months
Chatbots already have a little bit of a bad name. Early reviews for the ones on Facebook Messenger have been rough due to apparent malfunctions, and Microsoft's Tay has been an utter disaster, at least on a couple of occasions. But a startup called ReplyYes, which offers a text-to-buy system for retailers, provides a glimpse into the potential of automated messaging. Interestingly, the company has a pair of e-commerce ventures. One sells vinyl records, the other graphic novels.
The Next Big Thing In Design? Less Choice
Recently, I decided to buy Monopoly to play with my son. What I was sure would be a quick decision on Amazon turned into a learning experience for both of us. Did you know there are 2,767 versions of Monopoly on the market and that the original version is not the easiest to find? My attempt at an impulsive purchase turned into a draining, in-depth research and decision-making exercise. It's undebatable that technology has made our lives more convenient, but it has also subjected us to a tyranny of choice.