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Dagmar Monett
Prof. of Computer Science - Artificial Intelligence, Machine Learning, Robotics, Software Engineering, Computer Science Education
Prof. of Computer Science - Artificial Intelligence, Machine Learning, Robotics, Software Engineering, Computer Science Education
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“What comes from the heart, enters the heart.”


This piece is after my own heart. Great to see Thomas Friedman talking about this stuff.

In short: If machines can compete with people in thinking, what makes us humans unique? And what will enable us to continue to create social and economic value? The answer, said Seidman, is the one thing machines will never have: “a heart.”



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Fake news... :-)

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Artificial swarm intelligence
Another approach to AI, use people's intelligence in a swarm to make a "human" artificial AI. 

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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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"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.


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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  

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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."

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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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