Patrick Toomey has posted a document on some low-friction ways to reduce risk in your software projects. Those methods are based on his 5 years of experience in application security, many security issues and associated data disclosures are the result of technically unsophisticated attacks.

Intel has been working hard to optimizing the popular deep learning frameworks, e.g., TensorFlow and Caffe, on (Intel) CPUs. Their work has reduced the performance gaps between CPU and GPU from about 80x to 2x.

Feifei Li has published their work on how to have the robot learn to pick and place the objects by itself. The paper is available at arxiv.

Remember Style transfer with Convolutional Nerual Network, lllyasviel has developed a software for automatically coloring the sketches base on an exampler image. The software is based on convolution neural network.

Mitchell Orsucci has proposed method to control an FPGA from the Linux OS, where you are dynamically reconfigure the FPGA from Linux user-space. You can read more here

In this post, I will introduce several deep learning package which can be delpoyed to mobile platforms.

Franchise is a lightweight but powerful SQL tool with a notebook interface. You can use it online at franchise.cloud. You can query SQL as easy as Jupyter notebook, which is very popular for Python.

Java 9 has been release. Let’s check the most important updates:

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XDA has made a comparison of speed, thermal and performance for a list of fast charge standards. You can access the full content here