DARPA want to hack brains to create superhuman abilities

Daily Mail

The US military is looking into ways to hack the human brain to enhance soldiers' cognitive abilities.

Python TensorFlow Tutorial - Build a Neural Network - Adventures in Machine Learning


Google's TensorFlow has been a hot topic in deep learning recently. The open source software, designed to allow efficient computation of data flow graphs, is especially suited to deep learning tasks. It is designed to be executed on single or multiple CPUs and GPUs, making it a good option for complex deep learning tasks. In it's most recent incarnation – version 1.0 – it can even be run on certain mobile operating systems. This introductory tutorial to TensorFlow will give an overview of some of the basic concepts of TensorFlow in Python. These will be a good stepping stone to building more complex deep learning networks, such as Convolution Neural Networks and Recurrent Neural Networks, in the package. We'll be creating a simple three-layer neural network to classify the MNIST dataset. This tutorial assumes that you are familiar with the basics of neural networks, which you can get up to scratch with in the neural networks tutorial if required. To install TensorFlow, follow the instructions here. The code for this tutorial can be found in this site's GitHub repository. First, let's have a look at the main ideas of TensorFlow.

Artificial Intelligence Could Help Diagnose Tuberculosis


Artificial intelligence models may be the new tool to help screen and evaluate efforts in tuberculosis-prevalent areas that often are plagued by limited access to radiologists.

Object Detection Using CNTK - Real Life Code


We recently collaborated with InSoundz, an audio-tracking startup, to build an object detection system using Microsoft's open source deep learning framework, Computational Network Toolkit (CNTK).

Guest Blog: Milena Sakowicz, G1ANT - 'What AI will mean to the workplace'


The inventor of the world wide web, Sir Tim Berners-Lee, recently warned that artificial intelligence could develop decision-making capabilities that impact the fairness of economic systems, if allowed to operate at a high level of business.

Neural networks explained


In the past 10 years, the best-performing artificial-intelligence systems--such as the speech recognizers on smartphones or Google's latest automatic translator--have resulted from a technique called "deep learning."

Apple Self-Driving Technology: 5 Facts You Need To Know

International Business Times

Apple has been interested in automotive technology for a long time -- the company already has the CarPlay infotainment system. But now it is moving further into the automotive industry and is working on its own self-driving technology.

Yes you should understand backprop – Andrej Karpathy – Medium


When we offered CS231n (Deep Learning class) at Stanford, we intentionally designed the programming assignments to include explicit calculations involved in backpropagation on the lowest level. The students had to implement the forward and the backward pass of each layer in raw numpy.