intelligence


Exploring the nature of intelligence

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Algorithms modeled loosely on the brain have helped artificial intelligence take a giant leap forward in recent years. Those algorithms, in turn, have advanced our understanding of human intelligence while fueling discoveries in a range of other fields. MIT founded the Quest for Intelligence to apply new breakthroughs in human intelligence to AI, and use advances in AI to push human intelligence research even further. This fall, nearly 50 undergraduates joined MIT's human-machine intelligence quest under the Undergraduate Research Opportunities Program (UROP). Students worked on a mix of projects focused on the brain, computing, and connecting computing to disciplines across MIT.


Breaking Down Superintelligence – O'Humanity

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Yoshimi battles the pink robots? These terms pop into our consciousness when we read articles, watch popular movies, or listen to Flaming Lips songs about technological advance, but we rarely take the time to investigate them more fully. It's important to dig a little deeper because technological advance will have huge impacts on our lives and on our society. As an artificial intelligence primer, I will be summarizing the book, Superintelligence, written by Nick Bostrom -- a professor at Oxford University and the founding Director of the Future of Humanity Institute, an interdisciplinary research center focused on the big questions faced by humanity. SIDE NOTE #1: Bostrom is not some obscure sci fi writer -- he is one of the leading academics in this field.


AI Is Not Just Getting Better; It's Becoming More Pervasive - SPONSOR CONTENT FROM DELOITTE

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Advances in artificial intelligence (AI) software and hardware are giving rise to a multitude of smart devices that can recognize and react to sights, sounds, and other patterns--and do not require a persistent connection to the cloud. These smart devices, from robots to cameras to medical devices, could well unlock greater efficiency and effectiveness at organizations that adopt them. In some industries, smart machines may well help expand existing markets, threaten incumbents, and shift the way revenue and profits are apportioned among industry players. Rapid strides in technology and the growing investment in AI innovation signal how fast AI deployment is moving. Advances in software and hardware are propelling AI outside of the data center into devices and machines we use in our work and our everyday lives.


Artificial Intelligence an "Alchemy" - BlockDelta

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John McCarthy first coined the term "Artificial Intelligence" (AI) in 1956 at the Dartmouth Conference along with four other founding colleagues – Marvin Minsky, Oliver Selfridge, Ray Solomonoff, and Trenchard More. The original definition and concept of AI according to John McCarthy is "Every aspect of learning or any other feature of intelligence can in principle be so preciously described that a machine can be made to simulate it. An attempt will be made to find how to make machines and concepts, solve kinds of problems now reserved for humans, and improve themselves." What it simply means is that AI is a term for "simulated intelligence" in machines. The machines are programmed to mimic the cognitive functions of the human brain.


Deep Sensing & Deep Insights with Artificial Intelligence

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At HUAWEI CONNECT 2018, we unveiled our AI strategy and portfolio. At HUAWEI EC0-CONNECT EUROPE 2018, we explored how we can work with our partners and customers to create an open industry ecosystem and help build pervasive intelligence in Europe. We also spoke to Europe's industry leaders and prominent experts about artificial intelligence, including Marco Menichelli, CTO of XSENSE. The full interview transcript is below. Marco Menichelli: What I call Artificial Intuition.


The Future of Learning – Member Feature Stories – Medium

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Can I be a professional translator without any credentials? If I want to be a published writer, should I still ghostwrite for money? Do summaries of existing book summaries make any sense? The seemingly obvious answer to them all is "no," yet I did all those things anyway. And while some led nowhere, others now pay my bills.


The Troubling Trajectory Of Technological Singularity

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As humanity stands on the brink of a technology triggered information revolution, the scale, scope and complexity of the impact of intelligence evolution in machines is unlike anything humankind has experienced before. As a result, the speed at which the ideas, innovations and inventions are emerging on the back of artificial intelligence has no historical precedent and is fundamentally disrupting everything in the human ecosystem. In addition, the breadth, depth and impact of this intelligence evolution on furthering of ideas and innovations across cyberspace, geospace and space (CGS) herald the fundamental transformation of entire interconnected and interdependent systems of basic and applied science: research and development, concept to commercialization, politics to governance, socialization to capitalism, education to training, production to markets, survival to security and more. The technology triggered intelligence evolution in machines and the linkages between ideas, innovations and trends have in fact brought us on the doorsteps of singularity. Irrespective of whether we believe that the singularity will happen or not, the very thought raises many concerns and critical security risk uncertainties for the future of humanity.


What about some human intelligence first?

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Artificial intelligence (AI) is all the rage these days. A recent article noted that'robots' -- shorthand for AI in the tabloids -- will be able to write a fiction bestseller within 50 years. I suppose that would be shocking to me as a novelist if most fiction bestsellers were not already being written by'robots'. Or so one feels, keeping publishing and other vogues in mind: a bit of this, a bit of that, a dash of something else, and voila, you have a bestseller! In that sense, perhaps the rise of AI will make us reconsider what we mean by human intelligence.


How quantum computing will help us build human-level AI - Video

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Artificial intelligence is the connective thread that ties together the economy, politics and technology, here at the World Economic Forum in Davos, Switzerland. Now, many of the world leaders who attend the forum, are concerned that automation and AI could replace and destroy economy. Dr. Ben Gadson who helped build Sophia the robot, one of the first examples of human-like AI spoke with CBS News about how AI will replace jobs, but also build jobs. Working for a living is gonna go obsolete and ultimately that will be great. What you'll have is AIs and robots making the stuff we need and providing the services that we need and They will enjoy doing this because they were programmed to enjoy doing this.


Nexus Intelligence - Sonatype Data Services

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Nexus Intelligence: Advanced Binary Fingerprinting (ABF) precisely identifies components via cryptographic hash, structural similarity, derived coordinate, and file name. Competitors: Identify components using file name and/or package manifest which contributes to false positives / negatives. Nexus Intelligence: Our Automated Vulnerability Detection (AVD) engine runs 24x7x365 and combines with 65 human security experts to monitor public, private, and crowd data for new open source vulns. New critical vulns are itemized, associated to component versions, and published with dev-friendly and actionable remediation guidance within 6 hours. Competitors: Monitor public data sources for new vulns and only identify a portion of risk as it emerges.