News

Information Retrieval through direct Brain Monitoring

Posted by Peter Rudin on 6. January 2017 in News No Comments

For the first time, information retrieval seems possible with the help of EEG, enhanced with machine learning. Electroencephalography (EEG) is a monitoring method to record electrical activity of the brain. It is typically noninvasive, with electrodes placed along the scalp.

In a study conducted by the Helsinki Institute for Information Technology (HIIT) test subjects read the introductions of Wikipedia articles of their own choice. During the reading session, the test subjects’ EEG was recorded, and the readings were then used to model which key words the subjects found interesting.

With sensor technology advancing, EEG sensors can eventually be worn more comfortably. This way, machines could assist humans by automatically observing, marking and gathering relevant information by monitoring EEG responses

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Physical Source of Consciousness in the Brain discovered?

Posted by Peter Rudin on 9. December 2016 in News No Comments

Scientists have struggled for millennia to understand human consciousness – the awareness of one’s existence. Despite advances in neuroscience, we still don’t really know where it comes from, and how it arises.

Using fMRI brain scans, researchers from Harvard medical School think they might have finally figured out its physical origins, after pinpointing a network of three specific regions in the brain that appear to be crucial to consciousness.

This research will hopefully lead to new treatment options for patients in comas and vegetative states. Moreover it opens a new door for our understanding of what it means to be human and its philosophical and psychological implications.

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Digital Economics and the Value of Judgement

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

Technological revolutions tend to involve certain activities becoming cheap, like the cost of communication or finding information. Artificial and Machine Intelligence as applied today are, in their essence, a prediction technology, so the economic shift will result in a drop in the cost of prediction.

As a consequence we will start using prediction to perform tasks where we previously didn’t. Second, the value of other things that complement prediction will rise.

For example the value of human judgement will rise as the cost of prediction is falling as discussed in the following article by Prof. Joshua Gans, professor of strategic management at the Rotman School of Management, University of Toronto.

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What Artificial Intelligence Can and Can’t Do Right Now

Posted by Peter Rudin on 18. November 2016 in News No Comments

Many executives are asking what artificial intelligence can do for their business. They want to know how it will disrupt their industry and how they can use it to reinvent their own companies. AI will transform many industries. But it’s not magic.

Surprisingly, despite AI’s breadth of impact, the types of it being deployed are still extremely limited. Almost all of AI’s recent progress is through one type, in which some input data (A) is used to quickly generate some simple response (B). The technical term for building this A→B software is supervised learning.

Andrew Ng ,VP & Chief Scientist of Baidu, Co-Chairman and Co-Founder of Coursera, and Adjunct Professor at Stanford University, is providing an interesting insight into the current state of AI in an article published by the Harvard Business Review.

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Mastering the Mechanics of Reason and Emotion

Posted by Peter Rudin on 4. November 2016 in News No Comments

The confluence of economics, psychology, machine learning and neuroscience has opened new vistas—not just on how people think and behave, but also on how organizations function.

As cognitive intelligence becomes a machine based commodity due to ongoing advances in Artificial Intelligence and Deep Learning, corporate leaders need to reflect on the question how decisions will be made in the future.

In the following interview published by McKinsey Quarterly in their October 2016 issue, a Nobel Prize winner and a leading behavioral economist offer common sense and counterintuitive insights on performance, collaboration, and innovation

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FTC Chairwoman: We Must Not Give Up on Privacy!

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

The Federal Trade Commission (FTC), the primary government agency in the U.S. in charge of protecting the privacy of one’s personal data, does this mainly through action against companies it deems to have engaged in “unfair or deceptive acts or practices.”

Edith Ramirez, Chairwoman of the FTC, states that protecting consumer privacy cannot become an afterthought as the technological landscape grows more complex:

“I think that consumers are very concerned, especially since we are hearing about major data breaches with increasing frequency. I think everyone understands that protection of personal information is vital. In my mind privacy is something that companies have to take into account in a very serious way”.

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AI will require a Revolution in Transparency, Trust and Ethics

Posted by Peter Rudin on 7. October 2016 in News No Comments

Every generation or so, a number of emerging technologies converge, and something revolutionary occurs.

For the first time, artificial intelligence (AI) is moving into the mainstream, and thanks to the convergence of increasing computing power, big data and machine learning, it’s reshaping the world we live in and our relationships with technology and each other.

But as data becomes the currency of our digital lives, companies must ensure the privacy and security of customer information. However, there is no trust without transparency and ethical standards to ensure compliance in respect to the information collected.

The following article written by the CEO and Chairman of Salesforce and published by the WORLD ECONOMIC FORUM provides an interesting view about the future of AI.

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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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