This is the paragraph that appears in the report. You can access it through his Google Scholar account along with a host of other articles and references of his. I have underlined and emboldened the part which sounds like a technology we know and love:
5) AI at the edge – Edge devices / on-premise devices play a large role in IoT systems. In the context of AI based analytics, they play significant role to provide a. Low-latency, real-time inferencing needed for IoT-driven process control systems. b. Low-battery consumption that is needed for energy-constrained devices like wearable and implantable. c. Privacy-preserving analytics as the data does not leave the edge / premises even for analytics. AI at edge either needs special technique to compress the AI models enabling them to run on constrained edge devices, or have dedicated low-latency, low memory inferencing algorithms, or have special purpose hardware accelerators in the edge [25], [26]. In order to reduce the energy consumption by significant order, completely new processor architectures called neuromorphic [27], that mimic the brain in hardware, are been used to design new chips - such chips, coupled with new sensing techniques called spiking sensors and 3rd generation brain-inspired neural networks called spiking neural networks (SNN) [28] hold the promise of disrupting the low-power edge AI technology.
http://scholar.google.com/citations?user=hkKS-xsAAAAJ&hl=enMy opinion only DYOR
FF
AKIDA Ballista
PS: For any new holders/investors on 14 December, 2019 Brainchip and TCS Consulting Services in particular the section where Arpan Pal in in charge engaged in a joint demonstration of AKIDA technology performing live hand gesture recognition and on one of the slides prepared by Arijit Mukherjee from TCS he states that he is looking forward to building a robot based upon and AKIDA platform. This presentation was the subject of an ASX announcement by Brainchip and can be found by searching ASX announcements either on the ASX, Hot Copper or the Brainchip web site. FF.
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