There you go! http://www.technologyreview.com/news/536326/ibm-tests-mobile-computing-pioneers-controversial-brain-algorithms/ http://nice.sandia.gov/documents/2015/NICE3talkwwwFinal-NO%20VIDEOS.pdf
On Sun, Sep 27, 2015 at 4:13 PM, Sam <[email protected]> wrote: > Dear all: > > There has been a lot of work on hardware acceleration of machine learning > algorithms with FPGA, ASIC or GPU, especially for neural networks. I wonder > if it makes sense, or if there is any prior work, to build custom hardware > to accelerate HTM/NUPIC, in order to achieve real-time performance in an > embedded environment? > > Thanks! > > Sam Gu > >
