Instead of focusing on the how of IoT, customers need to be focused on the what of IoT—namely the data. All of the strategy and shiny objects in the world won’t help if the data isn’t accurate, secure, and actionable. The data should always drive the strategy...
We're all familiar with the likes of Siri, GoogleNow, Cortana, and, most recently, Amazon Echo. These supposedly intelligent software apps can lead us to the nearest coffee shop, remind us of upcoming meetings, and even give us a good laugh when we foolishly ask what 0 is divided by 0.
The fundamental question to keep in mind is the following, "Are the learned weights of a neural network derivate works of the input images?" In other words, when deep learning touches your data, who owns what?
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.
Superintelligence: Paths, Dangers, Strategies is an astonishing book with an alarming thesis: Intelligent machines are “quite possibly the most important and most daunting challenge humanity has ever faced.” In it, Oxford University philosopher Nick Bostrom, who has built his reputation on the study of “existential risk,” argues forcefully that artificial intelligence might be the most apocalyptic technology of all.
We spent the past few months asking some of the field’s most renowned researchers and entrepreneurs what inspired them to pour their intellectual life into something that once seemed so unlikely and ominous.
ets take a close look at three related terms (Deep Learning vs Machine Learning vs Pattern Recognition), and see how they relate to some of the hottest tech-themes in 2015 (namely Robotics and Artificial Intelligence).
Enterprise software is about to undergo radical transformation — a substantial change that will make the shift to software as a service (SaaS) look like a simple facelift. This transformation is being powered by machine learning.
Few people in the tech world can truly be said to “need no introduction.” Stephen Wolfram is certainly one of them. But while he may not need one, the breadth and magnitude of his accomplishments over the past four decades invite a brief review: Stephen Wolfram is a distinguished scientist, technologist and entrepreneur. He has devoted…
Non seulement il y aura de moins en moins d’emplois pour les gens qui font un travail manuels, mais les emplois intellectuels seront également remplacés par des ordinateurs. Presque toute les industrie et les professions seront touchées et cela va créer un ensemble de problèmes sociaux parce que la plupart des gens ne pourront pas s’adapter à un tel changement dramatique.
Will humans ever live forever? With these technological advancements maybe one day. From Robot Avatars to Scientists Manipulating Molecules Alltime10s proudly presents 10 Technologies That Could Make Humans Immortal.
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