Hi
@Diogenese and @factfinder
@uiux and any other long termer.
Have there been any previous dots connecting Brainchip with Logitech? I don’t recall reading anything.
I was trolling through Rob Telson’s Linkedin account and he ‘liked’ a Logitech product:
Logitech announces Sight, an AI-powered tabletop camera for Hybrid Meetings
I know a ‘random’ like by itself doesn’t mean anything. Who knows, maybe he ‘liked’ it because he wants to buy one for the office to help facilitate zoom meetings.
However, I came across an article from October 2019 co-written by Giorgia Dellaferrera of IBM and Miloš Cerňak of Logitech.
The article discusses the validity of using SNN architecture for VAD (Voice Activity Detection system). It references Loihi on a few occasions but no reference to AKIDA.
This is the conclusion:
4. CONCLUSION We propose a SNN architecture for VAD. We developed a novel method for encoding the filterbank single frame features into spike patterns. We next integrated the new encoding scheme into a simple bilayer architecture which we evaluated on the QUT-NOISE-TIMIT data set. We showed that exploiting the power-efficiency properties of SNNs enables the design of VAD systems working at constant low power and achieving performances comparable to the state-of-the art methods. Our framework exhibits a low latency and relies on relatively small training data.
file:///C:/Users/g_rho/Downloads/A_Bin_Encoding_Training_of_a_Spiking_Neural_Networ.pdf
In another article she writes about SNN and back-propogation, so I don’t think she was using AKIDA. I haven’t found any connection to Brainchip but was curious if Logitech may have seen the light and started using AKIDA in the past 2 years. I’m wondering if there is any significance to Rob’s ‘like’, SNN, and Logitech. Are there any patents from Logitech using SNN?
I would appreciate any insights. Thanks in advance.