BRN Discussion Ongoing
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Cartagena
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Me too.It's been a tough journey for all no doubt and I share your frustrations Robsmark. I bought large parcels at 35 right up to 37 thinking we would never see 33 again and it's really hard to see the red and yes it's normal to feel pissed off and short changed, but the thing that gets me through is believing that it's not long to go for the Gen 2 launch and hopefully some new sizeable dollar producing contracts to be announced, we are all watching and expecting the promises Sean has made to be executed. I am also hoping BRN starts employing the best PR and media to provide max impact on the technology they have worked hard to commercialise so the world knows about it.. The PR aspect is a very critical part in attracting new quality investors hence SP will be far north of its current level.
Thanks to all the valuable contributors here who believe and have done the research that know Akida will prevail however the company will need to make good on their promises and the next announcement and it's delivery will be critical.
cosors
👀
Thanks!Ai at the edge!
This is what Brainchip has been targeting the last few years. In this WSJ, clearly Ai is heading towards the 'edge'.
"Near-real-time inference and response times, for example, can become easier to achieve. Data transport and processing costs, meanwhile, can be reduced, particularly for high-bandwidth applications such as streaming video or real-time image or video analytics. And by processing more data at the edge and sending less to the cloud, edge AI can help ensure data privacy and security. It can also make it possible to run critical functions even when internet connections go down."
AI Steps Onto the Edge - WSJ
With rapid response times, competitive costs, and a host of other potential benefits, edge devices are gaining ground as a location of choice for AI analyticsdeloitte.wsj.com
Learning 🏖
I see this as a supplement to the article I posted above, which focuses on the really big models. For me the two articles paint a coherent picture and do not contain any hype as far as I can see. Only the necessity and also the opportunities.
Many businesses need an edge strategy. Companies that wait until the time “seems” right could run the risk of waiting too long: By the time they get there, the real opportunity may have already passed them by.
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Fullmoonfever
Top 20
Nice to see emotion3D hire staff with neuromorphic experience 
Francesco Marrone, Ph.D.
Deep Learning Engineer | Software Architect
emotion3DPolitecnico di Torino
Vienna, Vienna, Austria
336 followers 335 connections
About
Motivated and accomplished Deep Learning Computer Vision Engineer with a PhD in electronics engineering and 4 years of experience in the industry. Skilled in C/C++, Python, MATLAB, Tensorflow, VHDL, Verilog-A, Spice, I have a proven track record of success in developing and implementing AI-based computer vision algorithms for a variety of applications, including biomedical imaging, manufacturing quality control, and ADAS. Currently working as a Deep Learning Computer Vision Engineer at an innovative automotive startup, where I am part of a team responsible for the development of the next generation of night vision systems for safe autonomous driving. In addition to my work experience, I have also served as a teaching assistant, lecturing on circuits theory and supervising multiple master students during their master's degree thesis. I have also published numerous papers in the field of neuromorphic computing and emerging memory technologies.Experience
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emotion3D
1 year 5 monthsSoftware Architect & Lead Software Engineer
Mar 2023 - Present6 months
Vienna, AustriaComputer Vision Deep Learning Engineer
Apr 2022 - Mar 20231 year
Vienna, Austria
Tothemoon24
Top 20
AI & Neuromorphic Computing with BrainChip
IoT For All -
August 17, 2023
In the fourth episode of the AI For All Podcast, Nandan Nayampally, CMO at BrainChip, unravels the complexities and opportunities surrounding edge AI and neuromorphic computing. As the worldwide leader in edge AI on-chip processing and learning, BrainChip offers a front-row seat to what’s driving AI’s next frontier – hardware.
Edge AI: Intelligence at the Source
The conversation begins with an exploration of edge AI, which involves processing data on local devices instead of in centralized data centers. Nandan delves into the benefits and trade-offs of this technology, emphasizing its potential in enhancing efficiency, reducing latency, and improving privacy and security.Neuromorphic Computing: Mimicking the Human Brain
One of the most fascinating segments of the episode revolves around neuromorphic computing. These are chips and systems designed to mimic the human brain’s structure and function. Nandan explains the potential of neuromorphic chips in AIapplications, offering a glimpse into how they could revolutionize the way AI processes and learns information.AI Hardware: Economics and Evolution
A robust discussion on AI hardware’s economics gives listeners an understanding of the investments, innovations, and challenges involved in building the physical foundations of AI systems. From silicon chips to graphics processing units, Nandan shares insights into how hardware is evolving to meet the increasing demands of AI applications.Top AI Applications and AI in Health
Nandan provides an overview of the current top AI applications like autonomous driving. A particular focus on AI in health uncovers the groundbreaking ways in which AI technologies are improving well-being.Future Opportunities in AI
The episode concludes with an inspiring look at future opportunities in AI. As technologies like edge AI and neuromorphic computing continue to mature, the possibilities for innovation are vast.Watch the Episode
This episode offers a comprehensive and engaging exploration of the technologies at the cutting edge of artificial intelligence. Nandan Nayampally’s expert insights and BrainChip’s pioneering work invite listeners to envision a future where AI is more efficient, adaptive, and integrated into our daily lives.Whether you are a technologist, business leader, or curious learner, this episode promises to deepen your understanding of AI’s underlying architecture and its implications for our world.
Join the AI For All Podcast to dive into this thrilling conversation and continue to explore the technological innovations that are shaping the future of artificial intelligence.
AI Steps Onto the Edge - WSJ
With rapid response times, competitive costs, and a host of other potential benefits, edge devices are gaining ground as a location of choice for AI analytics
deloitte.wsj.com
Tothemoon24
Top 20
Machine Learning Transforms the Internet of Things
The integration of machine learning into IoT is sparking exponential growth and shaping a dynamic ecosystem.
www.arm.com
Unlocking the potential of ML and IoT
Over time, it is expected that all IoT devices will run some sort of ML on the device. This is the reason Arm enables a wide range of ML devices – ranging from silicon deployed to run tiny sensors with Cortex-M CPUs, Cortex-M CPUs paired with custom ML accelerators, Cortex-A CPUs, Cortex-A CPUs paired with custom ML accelerators including GPUs with more and more devices coming in the future.
Enterprise AI development gets a boost as Edge Impulse partners with AWS
Edge Impulse announced its collaboration with AWS under the AWS Independent Software Vendor (ISV) Accelerate Program in a separate announcement. As part of this partnership, Edge Impulse will receive technical support and resources from AWS.Edge Impulse will receive go-to-market support from Amazon Web Services, enabling the company to effectively market and promote its solutions to a broader audience of AWS customers. Moreover, the co-selling opportunities will grant Edge Impulse access to the AWS Sales Organization, and this collaboration will improve Edge Impulse’s reach and sales prospects within the AWS ecosystem, the company says.
In a recent collaboration, Infineon Technologies AG joined forces with Edge Impulse to access essential development tools for creating and implementing embedded machine learning on edge AI microcontrollers
Edge Impulse is fast becoming the preferred ‘OS’ for edge AI hardware. They will be acquired.
I have voiced before my wish for BRN and Edge Impulse to merge.
Machine Learning Transforms the Internet of Things
The integration of machine learning into IoT is sparking exponential growth and shaping a dynamic ecosystem.
www.arm.com
My research paper is now available at https://lnkd.in/dWN-QTGQ . Also… | Chetan Kadway
My research paper is now available at https://lnkd.in/dWN-QTGQ . Also happy to share that the accompanying patent EP4181081A1 got a DIRECT GRANT by the European Patent Office. Summary of work: Deployed a Cloud Cover detection model on BrainChip AKIDA Neuromorphic processor. This model helps...
It's here........!View attachment 42014
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cosors
👀
Now do you have an image of a guy surrounded in jewels/wealth admiring his vast wealth yet to utilize any of it then it vanishes?
Don't be that guy either
Hope that trailer puts a big smile and a loud laugh for a few here.
Border Terriers are brilliant good dogs I know what I am talking about.
On the surface a good idea.
However BRCHF hit a 52 week low today (hard to fathom with so many good thing in the hopper and vastly increased tech recognition of neuromorphic whatever).
But a company doesn't want to merge or be acquired at a low valuation.
Possible first step to spark valuation is to have a BIG NAME take a 10% stake.
Double overnight and find itself on investors stock screens.
Enough with the anonymity!!
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BrainChip Chair Antonio J. Viana Addresses Investors in Two-Part Investor Podcast
Tune in to the two-part investor podcast and be part of the conversation that's propelling the forefront of AI technology.
brainchip.com
I’m hopeful we will see the day a BIG NAME take a 10% stake in BRN.
We just need to wait for ARM to IPO and raise the funds.
Mate I 100% agree with you. I, like others I suspect, got caught up in the Merc hype and have watched the SP decline ever since. Mentally exhausting is a very good way to describe what it's like holding BRN shares.
Maybe there will be another Merc moment and we'll recover the lost ground. Things will be pretty crook if there isn't.
Yeah it's a long way back to just break even. Something massive needs to happen for some to make any money here. First step is a re-visit of the $2.34 all time high. That'll be my re-assess point anyway.unfortunately I was pushing hard to a mate after the merc thing.
Not as insanely hard as I was at 5-10 cents to him.
Thankfully he procrastinated a bit
But ughh still has avg price around 80 ish cents now after avg down.
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