Check out Google's latest media push for Project Ara, which LeafLabs has been working on for over a year.
NIH SBIR Grant
WiredLeaf GUI software with live visualization of real-time capture on a per-channel basis
LeafLabs has been awarded an Small Business Innovation Research (SBIR) grant from the National Institute of Mental Health (NIMH) to continue our work with WiredLeaf. We will be collaborating with Edward Boyden, PHD at MIT's Synthetic Neurobiology Group.
Project Ara Team Image (link)
Cool Tool: RunSnakeRun
One of my favorite python development tools is RunSnakeRun, which is a GUI for visualizing profiling information. I usually use it to track down what's making a script run slow: the tool draws nexted blocks with a surface area roughly proportional to the time spent in a given function. In the above screenshot I learned that the python library for Google'sProtocol Buffers serialization format were the bottle neck for an experiment we were doing. We were sort of expecting networking or disk I/O to be the bottleneck, but with these libraries it was the CPU. The compiled C libraries are much faster!
The Python interpreter actually has the profiling code built in ("cProfile"), and runsnakerun is just a GUI for analysing the dump files. The commands I usually use to capture a dump and then visualize with runsnakerun are something like:
$ python -m cProfile -o ./dump.profile myscript.py --script-option blah $ # run to completion or Ctrl-C, then $ runsnakerun ./dump.profile
You can get install runsnakerun from the debian package repos (probably ubuntu also); details and installation instructions for other operating systems are avalable from the website.
