Hi for those interested here is some further details for the podcast by LDN.
The hyperlink address does not work at present as the spelling is incorrect - BRIANChip not BRAINchip
I have written to BRN communications to advise them to fix it up and to understand why we are not getting this information provide as part of registering for shareholder communications via their website.December 01, 2020 03:05 PM Eastern Standard TimeALISO VIEJO, Calif.--(BUSINESS WIRE)--BrainChip Holdings Ltd (ASX: BRN), a leading provider of ultra-low power high performance artificial intelligence technology, today announced that the Company will provide a Podcast Tuesday 8 December 2020 at 4:00 p.m. U.S. PST.
The podcast will continue as a monthly event and is intended to provide insight on the Company’s strategy and progress for the engineering community in target markets as well as analysts, technical and financial press and investors.
BrainChip CEO, Louis DiNardo will host the event and cover a variety of topics slated for the first podcast and discuss others planned for the first half of 2021. The podcast will be available through the Company’s website, www.brianchip.com. Mr. DiNardo commented, “The world of artificial intelligence is very fast paced and addresses a wide variety of markets and applications. As we set our sights on specific markets and use cases for our AkidaTM Neuromorphic System-on-Chip (NSoC), it is incumbent upon our team to provide insights and updates to all constituents beyond our financial statements and traditional quarterly updates.”
The first in the series of events will provide a brief background on the Company including the history of the Company, technology, a perspective on the AI market in general and the uses cases best served by the Company’s technology. The event will conclude with an update on the current status of device development and commercial efforts. Subsequent podcasts may include BrainChip management and industry experts.
Akida brings artificial intelligence to the edge in a way that existing technologies are not capable. The solution is high-performance, small, ultra-low power and enables a wide array of edge capabilities. The Akida (NSoC) and intellectual property, can be used in applications including Smart Home, Smart Health, Smart City and Smart Transportation. These applications include but are not limited to home automation and remote controls, industrial IoT, robotics, security cameras, sensors, unmanned aircraft, autonomous vehicles, medical instruments, object detection, sound detection, odor and taste detection, gesture control and cybersecurity.
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