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Forget humans versus machines: humans plus machines is what will drive society forward. This was the central message conveyed by Dr. John Kelly, senior vice president of IBM Research, at... 
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The Brain vs Deep Learning Part I: Computational Complexity — Or Why the Singularity Is Nowhere Near
While performing this comparison, I will also discuss the computational complexity of these processes and thus derive an estimate for the brains overall computational power. I will use these estimates, along with knowledge from high performance computing, to show that it is unlikely that there will be a technological singularity in this century. Tim Dettmers, 27/07/2015
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How do you want to be remembered? As Simon Parkin discovers, we may eventually be able to preserve our entire minds for generations to come – would you? Simon Parkin, 23/01/2015
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The drive to understand and replicate the workings of the human brain is leading to unprecedented collaboration between academia and the public and private sectors, says David Cox. David Cox, 19/11/2014
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When making predictions, I have two criteria: the laws of physics must be obeyed and prototypes must exist that demonstrate “proof of principle.” I’ve interviewed more than 300 of the world’s top scientists, and many allowed me into laboratories where they are inventing the future. Their accomplishments and dreams are eye-opening. From my conversations with them, here’s a glimpse of what to expect in the coming decades:
Pierre Tran's insight:
Le physicien et futurologue Michio Kaku prédit le futur pour la prochaine décade :
Teresa Lima's curator insight,
January 10, 2014 4:38 AM
#Not I think the future is unpredictable, and no one can predict the future! 
Carlos Polaino Jiménez's curator insight,
January 16, 2014 7:38 AM
Predicción científica del futuro, esto es un tema a leer por lo menos. |
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Startup Knowm's has a combo 'Anti-Hebbian and Hebbian' (AHaH) machine learning approach using memristors (others use one or the other, but only Knowm uses both at once) thus allowing the customer to define their own specific learning algorithm using the same building blocks.
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EXCLUSIVE: The US physicist explained to MailOnline that scientists have learned more about the brain in the last 15 years than we have in the rest of human history. JONATHAN O'CALLAGHAN, 23/02/2015
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In 2012, a paralyzed woman with an investigational 96-electrode sensor the size of a baby aspirin implanted onto the surface of her brain was able to think about steering a robotic arm toward a canister with a straw in it, move the canister toward her mouth, tilt it so the straw fell into her mouth, and take a sip. Elizabeth Armstrong Moore, 02/12/2014
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Bioengineer Kwabena Boahen's Neurogrid can simulate one million neurons and billions of synaptic connections. Boahen is working with other Stanford scientists to develop prosthetic limbs that would be controlled by a Neurogrid-like chip. StanfordUniversity, 27/04/2014
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University of Washington researchers have performed what they believe is the first noninvasive human-to-human brain interface, with one researcher able to send a brain signal via the Internet to control the hand motions of a fellow researcher. Via The Asymptotic Leap
Pierre Tran's insight:
Piloter à partir de son cerveau un autre cerveau humain via internet, des chercheurs se sont amusés à le faire.
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As we move forward there will be more and more reliance on robots and people working as team mates. Robots doing what robots are best at and people doing what people do well.