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Sunday morning. News Watson \Man And Machine\
This segment of Sunday Morning is about Watson, IBM's Supercomputer.
Streaming Video
Smart machines
We are crossing a new frontier in the evolution of computing and entering the era of cognitive systems. The victory of IBM's Watson on the television quiz show Jeopardy! revealed how scientists and engineers at IBM and elsewhere are pushing the boundaries of science and technology to create machines that sense, learn, reason, and interact with people in new ways to provide insight and advice. In Smart Machines, John E. Kelly III, director of IBM Research, and Steve Hamm, a writer at IBM and a former business and technology journalist, introduce the fascinating world of \"cognitive systems\" to general audiences and provide a window into the future of computing. Cognitive systems promise to penetrate complexity and assist people and organizations in better decision making. They can help doctors evaluate and treat patients, augment the ways we see, anticipate major weather events, and contribute to smarter urban planning. Kelly and Hamm's comprehensive perspective describes this technology inside and out and explains how it will help us conquer the harnessing and understanding of \"big data,\" one of the major computing challenges facing businesses and governments in the coming decades. Absorbing and impassioned, their book will inspire governments, academics, and the global tech industry to work together to power this exciting wave in innovation.
eBook
Nova. Smartest machine on earth
Augmenting human intelligence is a lot tougher than it looks, but scientists are edging closer with machines like 'Watson,' an IBM computing system that is gearing up to compete on the game show Jeopardy!, taking on Ken Jennings and Brad Rutter, two of the show's most successful and celebrated contestants of all time.
Streaming Video
The Force of the Virtual
The Force of the Virtual explores the problematic relationship between the philosophy of Gilles Deleuze and science. The original essays gathered here examine how science functions in respect to Deleuze’s concepts of time and space, how science accounts for processes of qualitative change, how science actively participates in the production of subjectivity, and how Deleuze’s thinking engages neuroscience.
eBook
Nova
Zero and infinity. These seemingly opposite, obvious and indispensable concepts are relatively recent human inventions. Discover the surprising story of how these key concepts that revolutionized mathematics came to be—not just once, but over and over again as different cultures invented and re-invented them across thousands of years.
Streaming Video
2 - Zero a landmark discovery, the dreadful void, and the ultimate mind: Why
Why zero is a landmark discovery in our mundane affair, and why it is the dreadful nothingness and the highest state of mind in spirituality are explained with true incidences in the life of a modern spiritual scientist (rishi). The state of Nirvikalpa Samadhi (the ultimate state of mind) in the spiritual plane and that of zero kinetic energy in the physical plane are shown to be equivalent. Distinction between man, that is, living computer and computer, that is, nonliving entity in terms of processing speed and error, that of numerical zero and mathematical zero, as well as nonexistence/existence of chaos in nature are highlighted.
Book Chapter
Investigating the Influence of Artificial Intelligence on Business Value in the Digital Era of Strategy: A Literature Review
For organizations, the development of new business models and competitive advantages through the integration of artificial intelligence (AI) in business and IT strategies holds considerable promise. The majority of businesses are finding it difficult to take advantage of the opportunities for value creation while other pioneers are successfully utilizing AI. On the basis of the research methodology of Webster and Watson (2020), 139 peer-reviewed articles were discussed. According to the literature, the performance advantages, success criteria, and difficulties of adopting AI have been emphasized in prior research. The results of this review revealed the open issues and topics that call for further research/examination in order to develop AI capabilities and integrate them into business/IT strategies in order to enhance various business value streams. Organizations will only succeed in the digital transformation alignment of the present era by precisely adopting and implementing these new, cutting-edge technologies. Despite the revolutionary potential advantages that AI capabilities may promote, the resource orchestration, along with governance in this dynamic environment, is still complex enough and in the early stages of research regarding the strategic implementation of AI in organizations, which is the issue this review aims to address and, as a result, assist present and future organizations effectively enhance various business value outcomes.
Journal Article
A Quaternion Framework for Color Image Smoothing and Segmentation
In this paper, we present feature/detail preserving models for color image smoothing and segmentation using the Hamiltonian quaternion framework. First, we introduce a novel quaternionic Gabor filter (QGF) which can combine the color channels and the orientations in the image plane. We show that these filters are optimally localized both in the spatial and frequency domains and provide a good approximation to quaternionic quadrature filters. Using the QGFs, we extract the local orientation information in the color images. Second, in order to model this derived orientation information, we propose continuous mixtures of appropriate exponential basis functions and derive analytic expressions for these models. These analytic expressions take the form of spatially varying kernels which, when convolved with a color image or the signed distance function of an evolving contour (placed in the color image), yield a detail preserving smoothing and segmentation, respectively. Several examples on widely used image databases are shown to depict the performance of our algorithms.
Journal Article