For decades, computer scientists have striven to build machines as complex and efficient as the human brain. China's Tianhe-2, the world's most powerful supercomputer (consisting of 200 refrigerator-sized units in an area the size of a basketball court), may compute four times faster and hold 10 times more data than the human brain, but it also sucks up enough electricity to power 10,000 homes. On the other hand, the human brain consumes less juice than a dim light bulb and fits nicely within our skull. So what if we could build computers that were more like brains? Turns out we're almost there.
Thursday, March 31, 2016
Thursday, March 24, 2016
Packt Publishing is currently holding a sale that will save you
20% 50% on all technical books eBooks site-wide! If you have been toying with the idea of brushing up your OpenCV skills, why don't you give OpenCV with Python Blueprints a chance? Simply enter promo code PACKT20 BW50 upon check-out and you're good to go! Offer ends Sunday.
OpenCV with Python Blueprints launched in October 2015 as #1 New Release in Computer Vision & Pattern Recognition on Amazon. The book demonstrates how to develop a series of intermediate to advanced projects using OpenCV and Python, rather than teaching the core concepts of OpenCV in theoretical lessons. Instead, the working projects developed in this book teach the reader how to apply their theoretical knowledge to topics such as image manipulation, augmented reality, object tracking, 3D scene reconstruction, statistical learning, and object categorization. Simply download the code from GitHub and follow along!
What readers on Amazon have to say:
The author does a great job explaining the concepts needed to understand what’s happening in the application without the need of going into too many details.
Usually I'm not a big fan of technical books because they are too dull, but this one is written in an engaging manner with a few dry jokes here and there. Can only recommend!
Solid and useful book on getting ramped up with OpenCV in Python. I have found it useful several times in the recent weeks as I am exploring OpenCV.
Thursday, March 17, 2016
GitHub's developer team has been very active in the last few weeks, introducing a number of features that could save you a lot of time during your day-to-day GitHub activities. Let's take a look at the most essential new features, which make it easier for you to perform code reviews, upload files to your repositories, and interact with other users.
Tuesday, March 8, 2016
In the second issue of this monthly digest series you can find out what happened at COSYNE 2016, how to cryonically freeze and recover a brain, why brains fold up the way they do, how to restore memory function in Alzheimer's, and much more.
Monday, March 7, 2016
In the second issue of this monthly digest series you can find out how DeepMind beat the reigning human champion at the game of Go, why a robot is playing art critic in a museum in Paris, why your phone might soon have a brain of its own, and much more.
Sunday, March 6, 2016
This year's COSYNE meeting (Feb25–28) brought together leading theoretical and computational scientists to study fundamental problems in systems neuroscience, including keynote speakers such as Xiao-Jing Wang (NYU), Paul Smolensky (Johns Hopkins), Mala Murthy (Princeton), Leslie Vosshall (Rockefeller), Greg DeAngelis (Rochester), Richard Mooney (Duke), Marisa Carrasco (NYU), and Blaise Agüera y Arcas (Google).