intelligence


4 Ways Machine Learning Produces Actionable Threat Intelligence

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A big challenge in collecting and analyzing intelligence has always been scalability. Good, actionable intelligence takes expertise to develop. Let's say you're a government trying to gather information on a foreign power. You'll need experts who speak the language, know the culture well enough to blend in, have the right skill sets, and are sympathetic to your goals. Finding enough experts who meet those criteria will be difficult -- and even then, it still might not be enough to get regular, actionable intelligence.


Mind design: could you merge with artificial intelligence?

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Could we ever integrate artificial intelligence in our mind – and should we? Susan Schneider, professor of philosophy and cognitive science at the University of Connecticut, explains in this edited extract from her book, Artificial You: AI and the Future of Your Mind. Today, you are out shopping. Your first stop is the Centre for Mind Design. As you walk in, a large menu stands before you.


Voices in AI – Episode 98 – A Conversation with Jerome Glenn

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Today's leading minds talk AI with host Byron Reese On this Episode of Voices in AI Byron speaks with futurist and CEO of the Millennium Project Jerome Glenn about the direction and perception of AI as well as the driving philosophical questions behind it. Listen to this episode or read the full transcript at www.VoicesinAI.com Byron Reese: This is Voices in AI brought to you by GigaOm, and I'm Byron Reese. Today my guest is Jerome Glenn. He has for 23 years been the Director and CEO of the Millennium Project.


Decision Intelligence Mastercourse

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"The unpredictability of the outcomes of today's decision models often stems from an inability to properly capture and account for the uncertainty factors linked to these models' "behavior" in a business context. Decision intelligence provides a framework that brings together traditional and advanced techniques to design, model, align, execute, monitor and tune decision models." A growing number of companies are using DI to guide their decision-making including Google, IBM, Microsoft and many others across sectors. This intensive, one-day course will provide a hands-on, interactive, deep dive into DI for tehcnical and non-technical professionals. This is the only Decision Intelligence course currently available in New York City, being taught by one of the leading pioneers in the field, Dr. Lorien Pratt! "Curious to know what the psychology of avoiding lions on the savannah has in common with responsible AI leadership and the challenges of designing data warehouses?


Cyber-human Teamwork MIT Spectrum

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"For most real problems, there aren't perfect answers," writes Thomas W. Malone. "But when they are connected in the right ways, groups of people and computers together can often get closer to perfect intelligence than either could alone." Malone, who is the Patrick J. McGovern Professor of Management at the MIT Sloan School of Management and the founding director of the MIT Center for Collective Intelligence, explores the potential of such connections in his new book, Superminds: The Surprising Power of People and Computers Thinking Together, from which this excerpt is taken. Will general AI be a form of collective intelligence? We know that the human brain is itself a form of collective intelligence.


Augmented Intelligence, not Artificial Intelligence, is the Future

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This article was originally featured in CIO Dive. When we envision the future of human-technology interaction, it's often glazed with ideas of automation and artificial intelligence (AI). After all, haven't we all longed for the day that Michael Knight's K.I.T.T. could be parked in our garage, allowing us to read a book while we drive down the road? Most experts tend to agree that we're far from engineering true AI -- that is, systems that can independently process, reason and create in the same capacity as the human brain. But here's the question: Is replicating human intelligence the most impactful application, and therefore the key goal, of intelligence technology for businesses?


Artificial Inhumanity - WebSystemer.no

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A few months ago, Fr Philip Larrey published his book called "Artificial Humanity". In this article, we will explain what would happen if we have an inhumane AI. First of all, what does inhumane mean? Primarily, when we say Artificial Inhumanity, we are referring to an AI which is not concerned with humans. It does not exhibit any human feeling, and humans are just animate objects roaming our world. Even though AI was initially conceived to serve humans, we do not exclude the possibility of eventually having an AI, which ultimately only serves its interests. If that happens, then we are definitely in big trouble. The question of whether machines can think is about as relevant as the question of whether submarines can swim. Using the same line of thought, if machines exhibit humanity, does that mean that they are human?


Column: With artificial intelligence on the rise, humans should reconsider the way we think about our own

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Intelligence: We all think we know it when we see it. But do we really understand that elusive quality? It's clear that our ideas about intelligence have evolved over time as the skills deemed necessary for survival and success have changed. Just think about the way kids roll their eyes when their parents have a hard time understanding technology. Those young folks instinctively grasp what to us seems foreign and hopelessly confounding.


Artificial Intelligence--The Revolution Hasn't Happened Yet · Harvard Data Science Review

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Artificial Intelligence (AI) is the mantra of the current era. The phrase is intoned by technologists, academicians, journalists, and venture capitalists alike. As with many phrases that cross over from technical academic fields into general circulation, there is significant misunderstanding accompanying use of the phrase. However, this is not the classical case of the public not understanding the scientists--here the scientists are often as befuddled as the public. The idea that our era is somehow seeing the emergence of an intelligence in silicon that rivals our own entertains all of us, enthralling us and frightening us in equal measure. There is a different narrative that one can tell about the current era.


Man vs Machine: Leadership in the age of artificial intelligence

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Artificial Intelligence has begun to enter every spectrum of business and every day life. We have started experiencing transformation in travel, entertainment, shopping, food delivery, banking, learning, personal assistants, to name a few. In many of these examples, AI is playing assistive, augmentative or sometimes, autonomous force. Competitive forces impacted by AI are acting as triggers for large well-established businesses to rethink their business models in order to survive and avoid extinction in some cases and in others to create new growth trajectories and build on their brand legacies. Therefore, rather than flighting the progression of technology or AI, the success of leadership lies in deploying AI in smart ways that would benefit the business.