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Dagmar Monett
Works at Berlin School of Economics and Law
Attended Humboldt University of Berlin
Lives in Berlin, Germany
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Dagmar Monett

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I had the pleasure of holding a short interview with +Yoshua Bengio at the Deep Learning Summit in Boston, May 2016.

Our discussion included his motivations for focusing his research in deep learning, current projects he's working on, potential risks of artificial intelligence and it's applications, advice for those looking to join the field, and more!

Watch the full interview here: https://www.youtube.com/watch?v=InYNSzVblZQ

#reworkDL   #deeplearning   #machinelearning   #AI  
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What would your ideal robot be like? One that can change nappies and tell bedtime stories to your child? Perhaps you’d prefer a butler that can polish silver and mix the perfect cocktail? Or maybe you’d prefer a companion that just happened to be a robot?… #science  
What would your ideal robot be like? One that can change nappies and tell bedtime stories to your child? Perhaps you’d prefer a butler that can...
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When we released Parsey McParseface last May as part of SyntaxNet, we were already planning to expand to more languages, and it soon became clear that this was both urgent and important, because researchers were having trouble creating top notch SyntaxNet models for other languages.

Just in time for #ACL2016 , we are pleased to announce that Parsey McParseface now has 40 cousins! Parsey’s Cousins is a collection of pretrained syntactic models for 40 languages, capable of analyzing the native language of more than half of the world’s population at often unprecedented accuracy. To better address the linguistic phenomena occurring in these languages we have endowed SyntaxNet with new abilities for Text Segmentation and Morphological Analysis.
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Being

I woke up this morning with about four hours’ sleep, brain struggling a little because my current load of work on a book I am finishing has not permitted me to get past this daily allowance of sleep for about three months now, and with coffee providing a handy replacement for blood in my veins, I proceeded to finish off this week’s Sunday Read, an act that has now grown into 145 Sundays. And I did it all because I chose to. Or, at least, that’s what I consciously told myself.

Free will (https://goo.gl/ACVGmo) is something we all have. It allows us to choose actions that lead to outcomes. It makes us responsible in our choices and it creates an undetermined cloud of possibilities out of our lives that is not unlike a Quantum Mechanical probability (http://goo.gl/LDgtEK). It exists in a kind of amorphous wave-like function which collapses the moment our choices lead to a fixed value which represents a hard data point. An act. An event.

Or maybe not. Maybe my life choices have led me down a series of internal neural restructurings which represent specific values and principles which arise when specific external events take place and therefore pre-determine my choice (https://goo.gl/GSXia4). Maybe, the writing of this column, given who I am and my well-known sense of debt to all of you, is pre-determined. Appearing random (http://goo.gl/f7p0ch ) or, at the very least an act of free choice, free will if you like, only to those who don’t know me well, or would like to think that our choices are guided only by a kind of “fork in the road” decision of the moment.

Benjamin Libet, accurately called “the information philosopher” (https://goo.gl/HRZ95H) opened the can of worms called “Free Will” with his experiments (http://goo.gl/I3Zbzg). Science works on data. Data is irrefutable. It exists outside our own inner, subjective realm and can therefore lead to conclusions that we find unpalatable (http://goo.gl/W7rWWf). While scientifically we all understand that every effect has to have a cause, the idea that what you and I are doing right now was somehow pre-determined by events leading up to it (http://goo.gl/C5gf90) sits uncomfortably with what we feel to be our consciousness (https://goo.gl/mZ7vgZ), a state the nature of which is still under debate even as we are beginning to close towards what might be a definitive answer (http://goo.gl/S9pACx).

Daniel Do in a TED Talk (https://goo.gl/d8hgrV) suggests that life may be completely deterministic. What makes sense in physics, quantum or otherwise, raises the rather uncomfortable notion that since we do not actively choose anything we also have no responsibility to be anything. Our success or failure in life can then be seen to be the sum total of elements and choices put into place long before we decided that hard work and constant learning were avenues that could control what happens to us.

Psychologists are debating the implications of this: https://goo.gl/GSXia4. And unsurprisingly, the subject emerges whenever we discuss AI (http://goo.gl/TmkZ5q), the singularity or any other means through which clusters of information (which essentially is what we are) come together in a non-organic way and spontaneously re-assemble themselves.

Libet’s writings on the subject of Free Will are quite eye-opening: http://goo.gl/V6wRFI as well as challenging. Frank Herbert (https://goo.gl/SkLySu) whose writings these days I find, to a degree, prescient, wrote about sentience, free will and a multi-species universe in The Whipping Star (https://goo.gl/MEYSPV) and the Dosadi Experiment (you can download the PDF of the book here: http://92.63.106.67/x4cHnzc). Passages such as “Delusions demand reflex reactions (as though they had autonomic roots) where doubts and questioning not only aren’t required, but are actively resisted.” (http://goo.gl/jCvnMl) mark both these books as excursions into exactly the kind of territory where the mind may be an expression of a deterministic universe of infinite possibilities.

So, do we take the red pill or the blue pill? (https://goo.gl/kxY9i1). Well? (http://goo.gl/GpJCs3).

At the root of it all lies the question of who we are (https://goo.gl/NFeA7M) and, more importantly who we become. It may well be that we have maximum choice on both these fronts. Or on just one of them. Or none. Irrespective of which it is, we are not really off the hook. When we understand the impact and portent of our own actions we are responsible for them, regardless. And understanding, really, comprehension of the sort that allows us to have this kind of discussion, this morning, is what makes us all responsible for what we do and the outcomes effected by our actions. Even in a deterministic universe we are the architects of those we come into contact with, as well as the world we want to see. As Frank Herbert would have said, we ought to build with care.

I know that you had no choice. You have been staring at the coffee pot, offering gallons of pure, unadulterated brain stimulant, while reaching for the piles of croissants, cookies, donuts, and chocolate cake surrounding you – while waiting for this column to magically appear on the web. Well, the wait is over. The setting is now complete. Have an awesome Sunday, wherever you are. 
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Learn the basics of machine learning in this free e-book!

http://ow.ly/AUNE302NCtX
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Animated talk, bringing economics to the people. Economics isn't as complex as we are led to believe. An economist makes the case for people's need to understand and engage in economics.
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"The Most Bitter Struggle" for Our Future...

Here's +John Robb, laying out an argument that rings very true to me and is very much aligned with much of my own thinking/writing about the future. And please note the focus he puts on solving the open source business model problem. It's absolutely critical to building sustainable, stakeholder-centric economic structures.

As far as I can tell, there are two ways these bots will emerge in their trillions (the vast majority of those will live in the cloud, attached to sensors/data/etc.). One way is a system that will dominate and enslave the vast majority of us and the other has the potential to provide us with a way of life that is as close to an edenic revival as is possible in reality.

These two systems will likely become the source of the most bitter struggle for dominance we’ve ever experienced on this blue planet. More bitter than the fight between bureaucratic systems (communism/fascism) and market systems (democratic capitalism) in the last century.

HT to +Alex Steffen for flagging this one for my attention.

A new economic system is on the way.
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"Tesla car drives owner to hospital after he suffers pulmonary embolism." "Joshua Neally was driving his Tesla Model X home from his office in the US city of Springfield, Missouri, to nearby Branson. But after pulling onto the highway, he started suffering piercing pain in his stomach and chest. Rather than call an ambulance, the lawyer decided to find a hospital using his car's self-driving mode."

"He manually steered the electric vehicle in to the car park and checked himself in to the emergency room."
A US driver made it to hospital while suffering a pulmonary embolism after putting his car into autopilot.
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Drones now can paint on walls!!
#drawing #painting #painteditmyself #drone  
Before opening the box of today’s artistic-technology news, can we ask ourselves why scientists are trying to make a painter out of an AI-powered bot?...
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Learn how to use machine learning algorithms and sensors on your mobile device to track your activity! This MATLAB example provides step-by-step instructions http://ow.ly/BfoC302zOBW
Is physical activity an important part of your quest to stay fit? Have you given a thought to how much time you spend walking or running every week? Recent studies have shown that nearly 20% of all adults use some form of technology to track their activities. Do you subscribe to this “quantified self” movement and do you analyze your daily activities to gain more insights about yourself? This blog post illustrates how I used an Android device cou...
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Musings on how slow we humans are at learning today...

Humanity is under growing pressure to learn faster. What will learning look like in the decades ahead?
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People
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Prof. of Computer Science
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Higher Education, Artificial Intelligence, Software Engineering
Employment
  • Berlin School of Economics and Law
    Prof. of Computer Science, 2010 - present
Places
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Berlin, Germany
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Computer Science Dept., Faculty of Cooperative Studies, Berlin School of Economics and Law (HWR Berlin), Berlin, Germany
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Cuban-German scientist and #EduTech enthusiast, Prof. of Computer Science with focus on Artificial Intelligence, Software Engineering and Computer Science Education
Collections Dagmar is following
Education
  • Humboldt University of Berlin
    Ph.D. Computer Science, 2000 - 2005
  • Havana University
    M.Sc. Computer Science, 1995 - 1998
  • Havana University
    B.Sc. Computer Science, 1987 - 1992
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Female
Dagmar Monett's +1's are the things they like, agree with, or want to recommend.
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When you bring devices of any kind into your classroom, there need to be some rules to go along with them. Establishing guidelines for your

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According to results from a Mensa test, an 11-year-old British boy has an IQ higher than Albert Einstein.

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Computer Algorithms inspired by the Animal Kingdom
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Computer Algorithms inspired from the behavior of Animals.