Stanford University’s 100 Year Study on Artificial Intelligence

Posted by Peter Rudin on 21. September 2016 in News No Comments

The One Hundred Year Study on Artificial Intelligence, launched in the fall of 2014 by Stanford University, is a long-term investigation of the field of Artificial Intelligence (AI) and its influences on people, their communities, and society.

The Study Panel reviews AI’s progress year-by-year and envisions the potential advances that lie ahead. It describes the technical and societal challenges and opportunities these advances raise, including in such arenas as ethics, economics, and the design of systems compatible with human cognition.

Their first 2016 Report is now available for download. It provides a broad overview for those interested in AI and can serve as an introduction to Singularity issues.

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Neuroscience and our understanding of Decision Making

Posted by Peter Rudin on 5. September 2016 in News No Comments

With his bestselling book ‘Thinking, Fast and Slow’, published in 2011, Nobel prize winner Daniel Kahneman set a landmark in  economic theory and the non-rational aspects of human behavior and decision making.

Paul Glimcher, a neuroscientist at New York University has been one of the driving forces in the still young field of Neuroeconomics.

In a new working-paper Glimcher and his co-authors Kenway Louie, also of NYU, and Ryan Webb of the University of Toronto argue that their neuroscience-based model outperforms standard economic theory at explaining how people behave when faced with lots of choices.

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IBM is one step closer to mimicking the human brain

Posted by Peter Rudin on 8. August 2016 in News No Comments

Scientists at IBM have claimed a computational breakthrough after imitating large populations of artificial neurons for the first time.

“The breakthrough marks a significant step forward in the development of energy-efficient, ultra-dense integrated neuromorphic technologies for applications in cognitive computing,” the scientists said.

Applications could include internet of things sensors that collect and analyze volumes of weather data for faster forecasts and detecting patterns in financial transactions, for example.

To comprehend the impact of this breakthrough the research team has appended  their publication with an impressive video.


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Can Computer Systems be Creative?

Posted by Peter Rudin on 24. July 2016 in News No Comments

The development of the modern concept of Creativity begins in the Renaissance, when creation began to be perceived as having originated from the abilities of the individual, and not God.

There has been much empirical study in psychology and cognitive science of the processes through which Creativity occurs.

Considered as one of humans’ most treasurable asset, Creativity is now an issue among Artificial Intelligence Scientists engaged in Deep Learning research as well.

Blaise Agüera y Arcas an expert on machine learning at Google and previously a Distinguished Engineer at Microsoft presents results of his fascinating work at a TED Conference in Paris.

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What follows Digital Transformation? Digital Reinvention!

Posted by Peter Rudin on 25. June 2016 in News No Comments

Having successfully mastered digital transformation business leaders have the opportunity to take a fresh look at the corporate structure and performance levels with an unprecedented opportunity to digitally reinvent parts of the company to pursue new profitable business avenues.

The combination and interaction of human Creativity, Cognitive Computing and Big Data Analytics as represented by the Singularity-Ecosystem sets the stage to model and implement Strategic Planning options to cover new territories without disrupting the ongoing business operation. 

The following paper published by the IBM Institute for Business Value provides further valuable insights.

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