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"labeled as transformational by Gartner" According to wikipedia, there are 64 magic quadrants with roughly 10-25 companies per quadrant. This type of marketing
by relaunched 7y ago
"labeled as transformational by Gartner"
According to wikipedia, there are 64 magic quadrants with roughly 10-25 companies per quadrant. This type of marketing is more of a detractor than anything else, especially on HN.
It's much more helpful to provide technical / product related information to substantiate your claim. If you are working on a hard problem, describe it. The more detail, the better.
- cg94301 7y agoThe hard problem is to provide processor performance scalability in a post-Moore world. We are tackling this by event based, near-memory, sparse computing. Traits that can be just as well attributed to the brain. The challenge here is that a whole new set of algorithms is required. A good illustration for that are DVS (Dynamic Vision Sensors). They produce a continuous stream of asynchronous events, just like our eyes, and algorithms like object detection have to work on this stream of events rather than a simple sequence of frames. The advantages are ultra-low latency, high energy efficient computing. Only what needs to be computed is computed, asynchronously. Since DVS is not a very widespread technology (yet) we do frame-to-event conversion to tap into the energy efficiency of sparse, near-memory compute. All of this processing can be done on the same architecture, since it can be explicitly programmed to do e.g. frame-to-event conversion, and trained to do inference on objects in the resulting stream.