"Cognitive science is the interdisciplinary study of mind and intelligence, embracing philosophy, psychology, artificial intelligence, neuroscience, linguistics, and anthropology. Its intellectual origins are in the mid-1950s when researchers in several fields began to develop theories of mind based on complex representations and computational procedures."
– Paul Thagard. Cognitive Science , in The Stanford Encyclopedia of Philosophy.
People can read your emotions even if your facial movements don't give them away, a new report has found. Researchers constructed computer algorithms, based on the new findings, that can recognize human emotions by analyzing facial color patterns. New research suggests that humans can read other humans' moods based on facial colors alone - but that AI can do this more accurately than people can. Cognitive scientist and Ohio State professor Aleix Martinez explained how the report informs our understanding of the connection between our feelings and our anatomy. Professor Martinez said: 'We identified patterns of facial coloring that are unique to every emotion we studied.
No two neurons are alike. What does that mean for brain function? Brain cells may be as unique as the people to which they belong. This genetic, molecular, and morphological diversity of the brain leads to the functional variation that is likely necessary for the higher-order cognitive processes that are unique to humans. As researchers continue to probe the enormous complexity of the human brain at the single-cell level, they will likely begin to uncover the answers to these questions--as well as those we haven't even thought to ask yet.
Discussions of artificial intelligence often veer in strange directions. On the one hand, you have the sort of doomsday scenarios that are staples of science fiction – a disobedient Hal 9000 goes on a killing spree, for instance. Or, at the other end of the spectrum, you have marketing departments adding "A.I." to the most pedestrian of electronic devices in an attempt to capitalize on media hype. Thank you, but my toaster does not need A.I. . To better understand what A.I. is, and isn't, this first installment in the series will examine the technology's development from its most basic building blocks, starting with a reflection on the fundamental differences between machines, mankind and the notion of intelligence itself.
When it comes to revolutionary technology, the blockchain and cognitive computing are two at the top of the list in 2018. With these technologies finally being put to use in practical applications, we're learning more and more about what they can do on their own--and together. Let's take a look at how some industries can take advantage of this powerful combination. Before we can discuss what these two technologies can accomplish together, it's important to understand them separately. Cognitive computing is essentially using advanced artificial intelligence systems to create a "thinking" computer.
Cognitive computing is an emerging area, with numerous use cases in manufacturing, education, commerce, and customer service. According to IDC, 90% of organizations will leverage cognitive computing by 2021 and 40% of digital transformation initiatives will use cognitive services by 2019. With use cases beginning to bear fruit in success, our customers have begun to see success using cognitive. As such, IBM selected us to present at Think, their largest user conference of the year happening March 19-22 in Las Vegas. Join us for both events and see how cognitive can transform your business goals for the months and year ahead.
AI is the construction of computers, algorithms and robots that mimic the intelligence observed in humans, such as learning, problem solving and rationalising. Unlike traditional computing, AI can make decisions in a range of situations that have not been pre-programmed into it by a human. Much of AI is about systems that can learn and evolve through experience, often to carry our specialised tasks such as driving, playing a strategy based game, or making investment decisions. This subset, also referred to as cognitive computing, needs to be trained by learning from experts. Looking to the future, the focus is on creating an Artificial General Intelligence (AGI) that can apply itself to a broad range of tasks in a much less structured way.
Artificial intelligence might arguably be the newest frontier of human experience, but there's no denying that man has been fascinated with the concept for millennia. From the mythical stories of Hephaestus creating mechanical servants and brazen-footed bulls that puffed fire from their mouths, to the talking heads of the 13th century, to IBM Watson and modern forms of AI, the subject has been bubbling on the surface of human consciousness. The time is now here for AI to come of age; and, in many ways, it already has. But now there's a new problem, and it's not one of how AI can be implemented, as has been the major challenge in the past. AI has now sprouted into a plethora of forms, each rivaling the other in an attempt to showcase its superior capabilities.
Abstract: The leap from cognitive computing to artificial intelligence will require systems that can take account of sensory data directly and in real time. This will require new systems and methods of programming them. This talk will outline some of the challenges faced and possible solutions. Interested in learning more about the business of data science and AI? Accelerate AI – The ODSC Business Summit will be focusing on the opportunities of AI and Data Science for real-world business transformations. See how industries such as finance, marketing, retail, insurance, government education and more are accelerating growth using AI and data science.