BRN Discussion Ongoing

mrgds

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Like the rest of us BRN holders, i really hope BRN have a lot to do with this development, though im leaning towards Tesla being the
provider for Ford, as Tesla is all but there regarding FSD, and on the 8/8/24 unveiling their robo-taxi.
Musk has said recently that Tesla is in talks with OEMs regarding the licensing of this tech.

 
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We need @Iseki input to confirm for sure
He asked me to pass on this message

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Tothemoon24

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🤷🏻‍♂️

Train inspection firm Duos sets up Edge data center unit led by EdgePresence founder Doug Recker​

Company in discussions to deploy four modules this year
June 21, 2024 By Dan Swinhoe Have your say
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A company that provides AI services to monitor trains and trucks is launching an Edge data center unit.
Duos Technology, a company that specializes in Machine Vision and AI to analyze fast-moving objects including trains, has launched a new subsidiary called Duos Edge AI, Inc.
Duos Technology railcar inspection

A Duos railcare inspection shed, with attached Edge data center module– Duos Technology
EdgePresence and Colo5 founder Doug Recker has been appointed as the president of the new unit, effective July 15.
Founded in 2001 and based in Jacksonville, Florida, Duos offers vision-based technology solutions to automate inspections of trains, trucks, and automobiles while in motion.
Details on the planned modules are scarce, but the company says it can offer densities of 100kW per cabinet and deploy within 90 days across the US.
The company noted it already deploys some solutions – including a railcar inspection system used by companies such as Amtrak – within specialized Edge data centers. The company said these data centers enable the analysis of trains at speeds up to 125MPH, delivering safety data within 60 seconds.
Images on Duos’ site suggest a shipping container-type deployment accompanies the inspection shed, and the company has said the facilities Duos’ new Edge unit will be deploying are similar.
"We are thrilled to announce these groundbreaking developments that not only reinforce our leadership in rail safety but also expand our technological reach into new markets,” said Chuck Ferry, CEO of Duos. “Our partnership with Amtrak and the deployment of our Edge Data Center represents significant strides forward, while the formation of Duos Edge AI marks an exciting new chapter for our company."
In a recent quarterly update, Duos said the company is currently in negotiations with “several large telecommunications companies” to support the deployment of AI infrastructure at the Edge, using its existing in-house expertise, to support demand for AI, Edge computing, and 5G rollout.
During the earnings call, Ferry said the company was in contract negotiations to install and operate its first four Edge data centers this year, with a pipeline of “more than 200” to be installed in the future.
“Duos Edge AI is using the technical skills Duos already has and deploying those skills to take advantage of a significant opportunity to build out the broader Edge AI IT infrastructure that supports other sectors such as schools, oil and gas companies, utility companies, telecommunications fiber providers, manufacturing companies, and government agencies,” Ferry said during the call.
Recker was most recently the founder of Jacksonville-based Edge data center company EdgePresence, which was sold last year to digital infrastructure firm Ubiquity. He previously founded Colo5 (sold to Cologix in 2014) and held roles at Level3 and MCI, amongst others.
He said: "I am excited to join Duos and lead Duos Edge AI. Our focus on education, healthcare, and rural industries will help drive innovation and growth, ensuring that these communities benefit from the same technological advancements as major urban centers.
 
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Tothemoon24

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This from January.;

Knock knock

Who’s there

Nokia


The era of the distributed Edge cloud changes the game​

Patrick McCabe, Nokia
Patrick McCabe is head of Webscale Marketing at Nokia

Edge will constantly evolve and the industry will need to be ready
January 11, 2024 Have your say
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The adoption of Industry 4.0 use cases in enterprise and industrial markets is changing the way the cloud is architected.
Edge clouds are increasingly being used for business and mission-critical applications that need ultra-low latencies and six-9s reliability or better.
These Edge-cloud use cases need connectivity with a sufficient performance at scale that is also operationally efficient.
This is creating a demand for new networking technologies, such as the latest silicon advances in IP and optical transport.
Operationally, it is putting the focus on harnessing automation to configure and manage networks with the necessary scale and efficiency.
Although solutions are usually evaluated for the performance of the actual technologies employed, another set of requirements is often overlooked: the experience, pedigree, and global presence that technology partners bring.
This varies dramatically across the vendor landscape. Implementing and managing these generational networks requires the right partnerships to fulfill both the stringent technological requirements and to satisfy post-deployment operational needs.
For Edge clouds and their use cases to be successfully implemented, it will require both novel technological innovations and the automation of highly complex and layered networks, neither of which can be achieved on a global basis without finding the right partnerships.
Autonomous drones

Autonomous use cases will rely on Edge– Getty Images

Edge cloud use case challenges​

Building the next generation of highly distributed clouds that can meet the requirements of customers and partners poses multiple challenges.
These include new performance expectations, growing network complexity, and stringent technological requirements.
Industry 4.0 traffic is quite different from the kind of best-effort traffic that was generated by the first generation of cloud applications.
Today’s webscale operators need to deliver services with strict SLAs around latency and reliability, sometimes even exceeding telco standards. Some Edge cloud use cases call for reliability as high as six or seven 9s.
Telehealth and emergency services clearly require mission-critical reliability, but many industrial systems have equally strict performance needs.
Autonomous systems and remote-controlled operations are another example where performance standards are very high.
They require ultra-low latencies to ensure precision in addition to increased speed and productivity.
Many autonomous mobile robot (AMR) use cases for warehouses and factories still use expensive on-board processing to ensure low latency.
Using local high-speed wireless such as LTE or 5G to connect to an Edge cloud will make these autonomous use cases more affordable.
As well as needing less on-board processing, they can also profit from end-to-end optimization and coordination by a central automation system.
Using local high-speed wireless such as LTE or 5G to connect to an Edge cloud will make these autonomous use cases more affordable
The other aspect of Industry 4.0 Edge use cases is the high degree of variability and intermittency in terms of performance needs. This demands tremendous scalability and responsiveness from the cloud and the underlying network.
Like compute and storage, network resources essentially need to be elastically consumable.
Processing requirements at the Edge and the core will shift constantly, depending on the performance needs of individual use cases.
The network must be able to match this variability, automatically provisioning the necessary resources to assure network and service availability.
A very high level of reliability and dynamism must be delivered at the same time across DC network fabrics, enterprise private wireless access and wide area network (WAN) IP routing, optical, and microwave transport networks.
Orchestration and assurance must be able to provision connectivity services end-to-end, on demand, which is only possible if the provisioning, monitoring, and adjustment of network service resources is automated and programmable.

The right partner with the right pedigree​

Ensuring end-to-end service assurance is a lot to ask of most cloud builders like IXPs and colocation providers.
Providing Edge-cloud-based support to enterprise and industrial use cases involves a wide variety of network technologies including routing and transport technologies in the WAN and private wireless networks in the enterprise.
As we anticipate future Edge cloud applications and use cases, one of the most critical areas of innovation will be in networking, mostly because today’s technologies are pushing up against critical limits.
With the right partnerships, cloud operators have a golden opportunity to support enterprise and industrial customers in one of the most rapid productivity transformations ever seen.
 
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Tothemoon24

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Frangipani

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Gies

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Esq.111

Fascinatingly Intuitive.
Morning Chippers ,

Just on the ABC morning news..Space wars .

Adelaide is hosting the 'Australian Space Cyber Forum'


Also just came upon this , ...may have been shared prior ?.


Regards,
Esq.
 

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Frangipani

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Earlier today at the RISC-V Summit Europe 2024 in Munich: Preparatory meeting for next year’s second RISC-V Space Workshop in Gothenburg, Sweden (April 2-3, 2025), which will be organised by Frontgrade Gaisler.


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CWP

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Pitt Street lastest on Brainchip, extract from their email (from a friend, I’m not on their mailing list) someone on their mailing list can provide the whole article im sure.

Because of its specific advantages, i.e. near-zero latency, extremely low energy consumption and autonomous on-chip learning, Akida has very substantial potential across a range of applications, especially in Edge AI. These include autonomous vehicles, drones, robotics, medical diagnostics, i.e. sensors that reside at the Edge of the Internet of Things.


The world is Akida’s oyster


Although investors have become increasingly aware of the massive opportunity that AI presents, e.g. through the rapid rise of ChatGPT and NVIDIA’s stellar growth, AI is still very much in its early stages. We believe the commercial opportunity for BrainChip is very substantial indeed, specifically because the technology underlying Akida is radically different compared to today’s AI solutions and addresses the very large Edge AI market.

We expect Akida to be able to provide AI capabilities to countless types of devices where previously this wasn’t possible due to the restrictions of Cloud-based AI (cost, latency, energy consumption etc).


Valuation of A$1.59 per share


We have valued BRN at A$1.59 per fully diluted share, based on industry M&A activity (please see page 19 for more detail). Investors have been awaiting additional commercial deals in the last few years and, to be fair, their patience has been tested. But we believe these types of deals will be the future catalysts for BrainChip’s share price.

And because of the very broad spectrum of potential applications for Akida and BrainChip’s many ongoing commercial discussions with prospects, we are confident investors’ patience will be rewarded.

Article- https://static1.squarespace.com/sta...BrainChip+intiation+report+2024+25+6+2024.pdf
 
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MegaportX

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buena suerte :-)

BOB Bank of Brainchip
Thanks @MegaportX and @CWP :)


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Hoping for some MUCH NEEDED positive news Sooooon!!!!! 🙏🙏🙏
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🙏🙏🙏


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SiDEvans

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Esq.111

Fascinatingly Intuitive.

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DK6161

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7für7

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