You may be under the impression that anything to do with neural nets necessarily runs on a GPU. After all, NVIDIA dominates a lot of what we hear in this area, and rightly so. In neural net training, their solutions are well established. However, GPUs tend to consume a lot of power and are not necessarily optimal in inference performance… Read More
Cadence recently hosted a summit on embedded neural nets, the second in a series for them. This isn’t a Cadence pitch but it is noteworthy that Cadence is leading a discussion on a topic which is arguably the hottest in tech today, with this range and expertise of speakers (Stanford, Berkeley, ex-Baidu, Deepscale, Cadence… Read More
In 1960, the Nobel-winning theoretical physicist Eugene Wigner published an article titled “The unreasonable effectiveness of Mathematics in the Natural Sciences”. His point was that, at least in the physical and chemical worlds, mathematics is able to describe the behavior of nature to an uncannily accurate degree, which… Read More
