A bot has beaten the world’s top poker players, a milestone showing that AI can work with incomplete information.
Libratus, a program created by researchers at Carnegie Mellon University, has demonstrated new capabilities for artificial intelligence after beating four poker champions in a 20-day tournament for the first time. For marketers, whose work involves situations that are much more similar to poker than to board games like chess and Go, the milestone could signal new possibilities for the use of AI.
Developed by Tuomas Sandholm, professor of computer science, and his PhD student Noam Brown, Libratus took on poker professionals Dong Kim, Jason Les, Jimmy Chou and Daniel McAulay and ended up winning more than $1.7 million in chips at Rivers Casino in Pittsburgh, Pennsylvania.
AI bots have beaten human experts at many tasks, from IBM Watson’s Jeopardy triumph in 2011 to DeepMind’s AlphaGo win in 2016. What makes this victory different is that the AI was able to use imperfect information to win. Poker is a complex game that requires intuition, reasoning and an ability to bluff. It’s different from other recreational games that AI has won in the past because an opponent’s hand is hidden and it is impossible to know with certainty what a player has.
For every moment we live in the Information Age, we live two in the Misinformation Age. The Internet has both democratized and degraded information, providing us with all we could ever want to know about the world, and a lot of stuff that is untrue, misleading, offensive; in a word, information is garbage. In sheer volume alone, information (or “data”) on the web is astounding; 6,000 tweets are sent out every second, as are two-million emails. More than one-billion websites populate the Internet, a statistic that doesn’t take into account the “Deep Web,” comprised of untold amounts of information that isn’t accessible to the average web user. Our online lives are becoming bigger, deeper, and busier than ever and with each passing moment, so is the Internet itself, but at what cost? In an era of fake news and alternative facts, is access to endless amounts of information actually harming us more than it’s helping?
Makerspaces are creative spaces located in communities, schools, and public and academic libraries. These areas are designed to engage participants in hands-on activities that teach twenty-first-century skills. The emphasis in makerspaces is placed upon educating students in STEAM (science, technology, engineering, and mathematics) subjects as well as digital and information literacy.
According to Kylie Peppler and Sophia Bender in their article, Maker movement spreads innovation one project at a time, the focus of makerspaces is hands-on learning, “A hallmark of the maker movement is its do-it-yourself (or do-it-with-others) mindset that brings together individuals around a range of activities, including textile craft, robotics, cooking, wood-crafts, electronics, digital fabrication, mechanical repair, or creation — in short, making nearly anything.” This focus on hands-on creative learning is one of the reasons why makerspaces are seen by educators as being a key to innovation and an ideal method for equipping students to succeed in the future
Democracy is drowning in fake news. This is the latest reassuring conclusion drawn by those on the losing side of 2016, from Brexit to the US elections to the Italian referendum.
Apparently, all these earnest, honest and unfashionably rational grownups are losing elections because of a dangerous epidemic of fake news, internet memes and funny YouTube videos. For this crowd, the problem is not that the Titanic of democratic capitalism is sailing in dangerous waters; its potential sinking can never be discussed in polite society anyway. Rather, it’s that there are far too many false reports about giant icebergs on the horizon.
Eind deze maand ben ik spreker op een medewerkersdag van Doxis, een dienstverlener gespecialiseerd in het structureren en ordenen van informatie. Een bedrijf met meer dan 100 medewerkers dat ruim 100 jaar bestaat. Een bijzondere prestatie in een wereld die … Lees verder →
This morning Dan Colman updated his master list (OpenCulture) of free and open courses offered by top universities, a list that now includes 1,200 courses and roughly 40,000 hours of audio and video instruction. (Colman, 2016) This is actually only a small percentage of the tens of thousands of learning resources available freely and openly on the internet.
To get a sense of the depth and breadth of free and open online learning resources, look at YouTube coverage of the Stirling Engine (also known as the external combustion engine). As of today, I count 154,000 results. (YouTube) These are not advertisements or spam—they are individual contributions, ranging from ‘Jim Tangeman’s wood fired Stirling engine powered tractor’ to ‘Homemade Stirling Watts Beam Engine, Hot Air Engine’ (“This is something I’ve been working on for five months,” says the author). (Knight, 2014)
The question we face is no longer whether we will live in a world of free and open learning resources, but rather, what that world will look like.
Innovation-led growth can square a circle that is challenging modern capitalism: how to generate sustained and sustainable economic growth, built on high-value, well-paying jobs. This is at the core of entrepreneurial societies, and it is a good objective. The problem is how to get there. Although many countries have set the goal, few have achieved it.
The reason for this elusiveness lies in widespread misunderstandings about how innovation-led growth has been achieved in the past. These misunderstandings have allowed the wrong narratives to drive policy making, with individual entrepreneurs and companies as the central characters of the story. Left unchallenged, this narrative leads to counterproductive policy making and a distribution of rewards from growth that doesn’t reflect the actual distribution of risks.
Unless you live under a rock or are completely off the grid when it comes to technology, you’re probably aware of the maker movement. However, if you need a refresher, I made an infographic. The maker movement is such an exciting time for students and teachers alike! Yet, while a part of you is excited, the other part of you is flooded with the reasons why you just can’t start a makerspace right now.
“I have no money.” “I’m just not super comfortable with technology.” “We don’t have devices at my school.” “I don’t have the space.” “I don’t have the schedule that allows me to teach the kids how to do the stuff.”
I find this to be incredibly unfortunate. Not unfortunate in that I wish you had more money and were more comfortable with technology (although I sympathize), but unfortunate in that you think you need both of those to start a makerspace. With the massive amount of information out there about makerspaces, somewhere along the way, the term “maker” became synonymous with words like “3-D printing” and “robots.”
My husband loves woodworking and I like building computers. Am I more of a “maker” than he is? Am I being less of a maker when I use zip-ties and soda caps to fix my son’s toy car rather than 3-D printing a replacement part? Absolutely not!
’ve been reading a lot of Neil Postman lately. It’s been one of those years and I’m writing a book about fake news. Postman, the nicest guy in cultural criticism, was a folksy, friendly thinker who imagined the future in which we now live. One of his most important points, made in 1992 before the true data deluge that now befuddles us, is that information has become garbage.
￼In the United States, we have 260,000 billboards; 11,250 newspapers; 11,556 periodicals; 27,000 video outlets for renting video tapes; more than 500 million radios; and more than 100 million computers. Ninety-eight percent of American homes have a television set; more than half our homes have more than one. There are 40,000 new book titles published every year (300,000 worldwide), and every day in America 41 million photographs are taken. And if this is not enough, more than 60 billion pieces of junk mail (thanks to computer technology) find their way into our mail-boxes every year.
From millions of sources all over the globe, through every possible channel and medium — light waves, airwaves, ticker tapes, computer banks, telephone wires, television cables, satellites, printing presses — information pours in. Behind it, in every imaginable form of storage — on paper, on video and audio tape, on discs, film, and silicon chips — is an ever greater volume of information waiting to be retrieved. Like the Sorcerer’s Apprentice, we are awash in information. And all the sorcerer has left us is a broom.
Information has become a form of garbage, not only incapable of answering the most fundamental human questions but barely useful in providing coherent direction to the solution of even mundane problems. To say it still another way: The milieu in which Technopoly flourishes is one in which the tie between information and human purpose has been severed, i.e., information appears indiscriminately, directed at no one in particular, in enormous volume and at high speeds, and disconnected from theory, meaning, or purpose.
So… do I dare google for Sci-Hub, to see for myself what it is all about? I know it is a site that illegally offers more than 60 million scientific papers, grabbed from behind the publisher’s paywalls and libraries’ authentication screens and offered to be downloaded for free. I also know that its founder Alexandra Elbakyan has been featured on Nature.com as one of 10 people that mattered in 2016 . If everyone’s using it or is at least checking it out, shouldn’t I be allowed a little peak? Sci-Hub.org started in 2011 when Elbakyan decided to help others with her skills to circumvent legal access when she could not get or afford to pay for the articles she needed for her own research project. In 2015 she got sued by Elsevier which led to her losing the Sci-Hub.org domain . However, Elbakyan would not give up, motivated by weekly thank-you notes, some with financial support  and supportive tweets , she moves to other domains when necessary.
Robots zullen in toenemende mate productiewerk gaan uitvoeren. Dit proces is al jaren aan de gang en zal de komende jaren dankzij kunstmatige intelligentie verder doorzetten. Echter, ook ‘kenniswerkers’ zullen in toenemende mate vervangen worden door slimme machines die het werk efficiënter kunnen uitvoeren.
QUARTZ schrijft bijvoorbeeld over het initiatief van de Japanse verzekeringsmaatschappij Fukoku Mutual Life Insurance die deze maand 34 medewerkers gaat vervangen door één machine. Deze medewerkers onderzochten tot nu toe ingediende claims. Dankzij kunstmatige intelligentie kunnen nu medische dossiers en andere relevante documenten gescand worden om te bepalen of een verzoek ook daadwerkelijk zal worden uitbetaald. Men verwacht dat claims hierdoor sneller zullen worden uitbetaald.
Het initiatief kost eenmalig 1,7 miljoen dollar en daarna jaarlijks 128.000 dollar. Fukoku Mutual Life Insurance bespaart echter jaarlijks 1,1 miljoen dollar aan
Niche-specific content is usually not readily available through regular generic search engines. One example is the academic and scholarly content. While running a search query about an academic topic through a generic search engine such as Google would probably render fairly decent results, it, however, usually takes digging into so much fluff before finally landing on relevant results. This is where having access to topic-specific search engines comes in handy. Such search engines do not only provide specific content tailored to the topic under study but their content is more likely to be reliable and authoritative. To this end, we have compiled this list of excellent academic search engines that teachers, student researchers and academics can use to quickly locate and access scholarly works and publications. We have only included what we believe are the most relevant and popular titles out there. If you have other suggestions to add to the list please share with us on our Facebook page. Enjoy
Kalev Leetaru writes: "Technology alone cannot solve the fake news problem – only through teaching society to be data and information literate can we improve citizens’ ability to interpret the world around them."
From Pew Research: Political discussions on social media are a fact of digital life for many Americans. And although some politically active users enjoy these opportunities for engagement, a larger share of U.S.
Business strategies – especially in the tradition sense – are rather pushy. If you have a product, your strategy is to explain why a customer should use it.
Design thinking as a strategy flips this. Instead of forcing a product on customers, instead, it sees things from the customer’s perspective. A design mindset is not problem-focused, it is solution focused and action-oriented towards creating a preferred future. Design Thinking draws upon logic, imagination, intuition, and systemic reasoning – exploring the possibilities of what could be. This train of thought creates desired outcomes benefiting the end user.
When design principles are applied to strategy and innovation the success rate for innovation dramatically improves.
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