California-based Mark Zuckerberg (pictured) made the announcement in a Facebook post on his profile. He said building the AI ‘butler’ would be his personal challenge for 2016.
I administer the Bitcoin P2P discussion group at LinkedIn, a social media network for professionals. A frequent question posed by newcomers and even seasoned venture investors is: “How can I understand Bitcoin in its simplest terms?”
Engineers and coders offer answers that are anything but simple. Most focus on mining and the blockchain. In this primer, I will take an approach that is both familiar and accurate…
First, forget about everything you have heard about ‘mining’ Bitcoin. That’s just a temporary mechanism to smooth out the initial distribution and make it fair, while also playing a critical role in validating the transactions between individuals. Starting with this mechanism is a bad way to understand Bitcoin, because its role in establishing value, influencing trust or stabilizing value is greatly overrated.
Continue reading “Bitcoin Primer: Don’t Start with Miners” »
In a not too distant future, societies of all countries come to rely on an intricate network of artificial intelligence devices designed to bring efficacy to man’s life. Yet, man continues to devour himself in useless wars. A strong political hierarchy now divides all powers into three factions, and A. I. devices rapidly gain ground as efficiency becomes a priority.
As social revolts grow worse everyday, authorities seek ways to control their citizens. They decide to carry out a series of tests that will determine not only whether some crucial powers can be transferred to non human entities, but also whether man is ready to yield those powers.
Can we find evidence for space-time quantization in the cosmic microwave background? Turns out it’s complicated.
Have breakfast in London and lunch in New York thanks to the futuristic new jet design from Airbus.
Deep Learning in Action | A talk by Juergen Schmidhuber, PhD at the Deep Learning in Action talk series in October 2015. He is professor in computer science at the Dalle Molle Institute for Artificial Intelligence Research, part of the University of Applied Sciences and Arts of Southern Switzerland.
Juergen Schmidhuber, PhD | I review 3 decades of our research on both gradient based and more general problem solvers that search the space of algorithms running on general purpose computers with internal memory.
Continue reading “Deep Learning in Action | How to learn an algorithm” »
Your favorite films just got a lot shorter.
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DARPA funds the Atoms-to-Products program that aims to maintain quantum nanoscale properties at the millimeter scale of microchips.
The main goal of the atoms-to-products program is to create technology and processes needed to create nanometer-scale pieces, with dimensions almost the size of atoms, into components and materials only millimeter scale in size. And to spur developments in the program DARPA has now posed the challenge to 10 laboratories across the nation.
To get the full benefits of nanoscale engineering at the millimeter scale, the organization has partnered with Intelligent Materials Solutions. “Our initial project will be to control infrared light by assembling nanoscale particles into finished components that are one million times larger,” explains Adam Gross, the team leader working closely with Christopher Roper to bring the Atoms-to Products project to fruition.
