A snip from a VERy GEEKY read....
http://www.nallatech.com/fpga-acceleration-convolutional-neural-networks/
Conclusion
The unique flexibility of FPGA fabric allows the logic precision to be adjusted to the minimum that a particular network design requires. By limiting the bit precision of the CNN –Convolutional Neural Network calculation the number of images that can be processed per second can be significantly increased, improving performance and reducing power.
The non-batching approach of an FPGA implementation allows for object recognition in 9 milliseconds (a single frame period), ideal for situations where low latency is crucial. E.g. object avoidance. This permits images to be categorized at a frame rate greater than 100 Hz.
The intrinsic scalability demonstrated by our FPGA implementation can be utilized to implement complex CNN – Convolutional Neural Networks on increasingly smaller and lower power FPGAs at the expense of some performance. This allows less demanding applications to be implemented on extremely low power FPGA devices, particularly useful for embedded solutions, E.g. Near sensor computing.
Somebody will take that FPGA IP from GLoFo and run various CNN's on it and see what they get.
IF FPGAs can become the solution for on device Inference.....the value of the related IP goes up ( A LOT)
Can we partner with these guys just as we have done with Sensory Inc?
Samsung Licenses Valencell’s Ear-Based Biometrics Tech
Posted on July 20, 2016 by Alex Perala
“…Valencell has been keen to emphasize the applications of its technology in products such as earbuds, with a recently granted patent pertaining to ‘earbud covers’.”
Samsung has licensed Valencell patents related to the latter’s ear-based biometric wearable technology. The non-exclusive patent licensing deal provides Samsung access to Valencell’s technology concepts, but not to its products and support.
In a statement announcing the deal, Valencell emphasized the importance of licensing and its patent portfolio to its business, noting that it currently has 35 granted patents and over 70 others pending. CEO Dr. Steven LeBoeuf also highlighted the applications of the technology entailed in the licensing agreement, stating,“We’re pleased to work with Samsung Electronics to provide a patent license for our inventions that are critical for accurate heart rate monitoring in hearables.”
By “hearables”, Dr. LeBoeuf uses his company’s terminology for ear-based biometric devices. Blood flow signals detectable through a user’s ears can be used to monitor a number of cardiac measures, and Valencell has been keen to emphasize the applications of its technology in products such as earbuds, with a recently granted patent pertaining to ‘earbud covers’.
With a major consumer electronics company like Samsung now licensing its technology, it could soon reach an even wider swath of end users in the mass market, further popularizing biometrics in consumer electronics.
this snip of text up from the archives to reread....
third-party algorithm folks to deploy their algorithms on our platform and we do see activities in this area
For the casual reader. Looking back SPI is a fine example of a third party algo company.
Biometrics has very specialized algos, and Valencell, like Sensory, has TOP Notch stuff.
They are a third party algo group of folks.