Frangipani
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Ericcson are all over this. good news is that they have been using Akida in their research from at least 2022
A Communication stack prototype for AI-enabled ZE-IoT devices To demonstrate the feasibility of low-energy AI and low-energy communication in a ZE-IoT device, we have built an example use case, as illustrated in Figure 4. The ZE-IoT device consists of a low-power camera, a neuromorphic AI chip (the Akida neural chip from BrainChip), a low-power radio and a solar panel. The application assumes that the camera takes a picture (e.g., when triggered by a motion sensor), runs a neural network to create the neural embedding of the image (i.e., extracts the neural features from the image), and sends the neural embedding vector via a custom radio stack tailored for AI data that implements approximate and intermittent communication.
This makes me wonder. In the early phases could we put pressure on getting a massive license deal by only offering an IP license to 2 firms in an industry and chuck a premium on that and an ACT NOW. Nees some thought but knowing you will have exclusivity in some form could trigger a biddding war.
Keep in mind, though, that Ericsson has been closely collaborating with Intel for years (they even established a joint lab in Santa Clara, CA in 2022), including on the implementation of neuromorphic technology.
Cf. my earlier posts
https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-418864
https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-419427
At Mobile World Congress (MWC) Barcelona 2024, Ericsson Research demoed a radio receiver algorithm prototype targeted for Intel’s Loihi 2.
Their paper was published in December 2023.Ericcson are all over this. good news is that they have been using Akida in their research from at least 2022
So how do you know they have been using Akida in their research from at least 2022?
