Pom down under
Top 20
How did I guess youād reply lolWell done on picking the top!
BRN Discussion Ongoing
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CHIPS
Regular
Edge Impulse on LinkedIn: #ces2025
š The Edge Impulse team is gearing up for another exciting trip to Las Vegas for #CES2025! We'll be exhibiting alongside our incredible partners BrainChipā¦www.linkedin.com
Go @chapman89 !!
View attachment 73728
Why this admiration?
He just liked something we all liked. What is he, Jesus, or what? 
FiveBucks
Regular
The frustration comes, I believe, from believing in a product, putting your hard earned behind it and promises being made by management not coming to fruition. Even viana said that if we haven't done deals by the AGM, we are in a bit of strife.Each week passing without a deal certainly feels like a bit of a dagger to the heart (or hip pocket!).
"Shut up and sell" is a bit harsh. Investors want it to do well for obvious reasons. People are holding on hope and some are choosing to ride or die with the stock. Let them vent. It isn't hurting anyone (except maybe a few sensitive souls).
Well it's clear that Google don't see working at Brainchip as a negative.
Chris is Google product Manager for OpenXLA which is a consortium working to develop an open source compiler to adapt various types of ML software to different processors, GPU, CPU, xPU.
The consortium includes all the usual suspects except BRN. I suppose it doesn't work for digital SNNs with N-of-M coding
https://openxla.org/
An open ecosystem of performant, portable, and extensible machine learning (ML) infrastructure components that simplify ML development by defragmenting the tools between frontend frameworks and hardware backends. Built by industry leaders in AI modeling, software, and hardware.
Humble Genius
Regular
This is interesting.......
www.linkedin.com
aithority.com
By PR Newswire On Dec 3, 2024
Also Read: Modal Signs Strategic Collaboration Agreement with AWS to Deliver Accelerated Generative AI Solutions
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Key Benefits
Hardware Agnostic: PySDK supports a wide variety of hardware options, giving developers the flexibility to choose the best hardware without vendor lock-in.
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DeGirum AI Hub
DeGirumās AI Hub enables rapid AI prototyping without the need for hardware setup. The platform offers extensive model support, giving developers access to 1000+ production-ready machine learning models to kickstart development. The platform features a model porting toolchain that converts training checkpoints into deployable models across various hardware targets. The AI Hub also hosts extensive model zoos, enabling edge devices to load and update models on demand, eliminating the need to bundle models within applications.
Expanding Accessibility with JavaScript SDK
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See Jen Burnsā activity on LinkedIn
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DeGirum Delivers Industry's First Hardware-Agnostic PySDK - Simplifies Edge AI Development
DeGirum, a leader in edge AI, announced the release of its hardware-agnostic PySDK, designed to streamline AI development at the edge.
aithority.com
DeGirum Delivers Industryās First Hardware-Agnostic PySDK ā Simplifies Edge AI Development
Machine LearningNews
By PR Newswire On Dec 3, 2024
Focused on Vision Processing, Industrial, Automotive, and Smart Retail Applications Development
DeGirum, a leader in edge AI, announced the release of its hardware-agnostic PySDK, designed to streamline AI development at the edge. DeGirumās PySDK provides a unified software stack that allows developers to add AI to any application with just two lines of code. PySDK supports a wide range of hardware:Also Read: Modal Signs Strategic Collaboration Agreement with AWS to Deliver Accelerated Generative AI Solutions
Accelerators
- NVIDIA GPUs
- Hailo
- MemryX
- Google Edge TPU
- BrainChip
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Dec 4, 2024
Teradata Introduces āRapid-Startā Generative AI Use Cases with Amazon Bedrock Integration
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Earos Raises $10 Million from Lemon Ltd. to Build Decentralized AI Infrastructure
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- Intel
- AMD
- Texas Instruments
- NXP
- Rockchip
- Raspberry Pi
Key Benefits
Hardware Agnostic: PySDK supports a wide variety of hardware options, giving developers the flexibility to choose the best hardware without vendor lock-in.
- Comprehensive Inference API: The API manages essential tasks: decoding, resizing, pre-processing, inferencing, and post-processing.
- Scalability: Applications can be scaled easily by adding hardware without requiring changes to existing code.
- Seamless Transition from AI Hub to Edge: PySDK is integrated with DeGirumās AI Hub, enabling developers to prototype in a hosted environment and then migrate to a run-time environment.
Also Read: AiThority Interview with Joe Fernandes, VP and GM, AI Business Unit at Red Hat
DeGirum AI Hub
DeGirumās AI Hub enables rapid AI prototyping without the need for hardware setup. The platform offers extensive model support, giving developers access to 1000+ production-ready machine learning models to kickstart development. The platform features a model porting toolchain that converts training checkpoints into deployable models across various hardware targets. The AI Hub also hosts extensive model zoos, enabling edge devices to load and update models on demand, eliminating the need to bundle models within applications.
Expanding Accessibility with JavaScript SDK
DeGirum is introducing DeGirumJS, a JavaScript SDK designed to enable seamless integration into web and mobile applications. With DeGirumJS, developers can run AI models in the browser, bringing real-time object detection, image classification, and more.
7fĆ¼r7
Top 20
I had a look on this previous website regarding lohi and Benz and found this.
www.eenewseurope.com
Any tech pro here ?
Low power SoM with AI capabilities in limited sampling
SoM combines state-of-the-art processing, AI capabilities, and low power consumption to address the requirements of IoT and edge computing.
www.eenewseurope.com
Any tech pro here ?
Lot's of handwringing of late, and I thought it time to insert my thought, opinion, and point of view into the Brainchip angst some have,....maybe even more than just some. Staff retiring, staff leaving, Sean Hehir, lack of contracts, too many shares being sold by executives,.......on and on. Pick your poison. There's a lot to pick from if that's what you want to do.
However, I believe too many of us here have become myopic, or have misplaced or just plain lost the abilility to see the forest through the trees to say it in another way.
Let me start at my beginning of my peronal Brainchip experience, because it is the reason I invested in the first place. Back in the days of Covid, late 2019, early 2020 I had found myself isolated, in literal lockdown with zero outside life (I'm retired and only went to doctors appointments). Out of boredom I decided to learn about a subject I had a thimbles worth of understanding at that time,....artificial intelligence.
I read, and read, listened to YouTube, looked up words and abbreviations I didn't understand, and began a VERY interesting journey into the growing tsumomi generally referred to as artificial intelligence or A.I.
I learned about the cloud. It is amazing to me how many people don't understand what the cloud is even today, but I digress. I encountered for the first time IoT, or the internet of things. My understanding grew, almost daily.
I saw AI as a gigantic subject matter with many sub topics having subtopics and so on. I likened AI to a huge church (the church of AI sounds terrible, but the picture a big building - AI, with many AI subparts as the pews) with one of the intriguing words, or pews, that picqued my interest being "neuromorphic"
I learned about the EDGE. Reference to edge compute began to make sense to me and when combined with the sheer number of what were edge devices in the world and that that number would continue to grow, I started to see some companies that were involved in the space that was crystalizing in my head as an area of interest and excitement... "edge and neuromorphic computing". Computing like the brain works? Wow. This makes incredible sense I thought.
First up,....Intel (Loihi) and of course IBM and their neuromorphic compute projects. I felt nothing, to be honest. And then I encountered another phrase, "spiking neuromorphic network" compute or "SNN". Now I felt something, and the attributes alledged to apply to that technology got my attention.
So I went into the discovery of SNN neuromorphic compute and eventually discovered Brainchip, a tiny company that was low power, reduced latency and alledgely a good solution for that vast amount of edge devices that was continuing to grow in the world. I eventually bought some Brainchip shares with a massive $50 foriegn transaction fee that almost had me walking away on principle. 3,000 shares at 27 cents seemed like a gamble I was willing to take without knowing what this company was really doing. Info on Brainchip was scant at that time.
Honestly, that was so stupid. It was akin to betting on a horse because you liked its name and knew nothing else about the horse, or the color green the jockey wore. But I did love the name Brainchip.
As I said, back then there really wasn't much info on Brainchip or neuromorphic computing. Not like today. As time went by I accumulated more and more shares because I saw that this technology made so much sense I felt it was a no brainer investment because of course this type of computing would be successful. Ubiquitous possibly,...at least for edge devices. It was that clear to me, and I'm not bragging. What I'm actually saying is that if I could see it then it is in fact that obvious, because even I could see it.
So, ... I bought Brainchip as a flyer, as a speculation that the very reason for its existence made so much sense to me I just knew that this technology was the real deal. It was a small speculative startup in a nascent area of AI, and I entered the stock with the knowledge that the company could fold any day. My eyes were wide open to the risk, so to speak.
I never had a feeling about the stock other than as one way to inexpensively gain some exposure to what would become an inevitable explosion of new edge compute technology, or what we all know to be SNN. It was the burgeoning industry and future prospects that attracted me and the horse that I decided to ride happened to have a name that attracted me to it. Let me repeat, a pretty damn stupid reason to invest.
But as time went by I learned much more, bought more, and long story short remain unfazed by lack of significant IP contracts or deals, employees retiring, NDA's, or anything including Sean Hehir or the BOD. This horse is just barely out of the gate and hasn't even run a furlong. But it is in the race and has a head start imo thanks to the initial success of Akida 1000.
This is my opinion, my Brainchip story, not written to dissuade or persuade anyone from thinking whatever you want to think.
However, as Arm CEO Rene Haas once said on Fox Businuss, CNBC, Bloomberg business and elsewhere,.....it takes 3-5 years for new products to even begin to enter the fab stage. I am remaining patient, undeterred that I have chosen a great horse in a great big edge compute market for which I fully expect to be handsomely rewarded some day. But, then again I may be wrong and that is the risk I took. No regrets.
The forest (spiking neuromorphic compute processing at the edge) is the main and only reason I invested. The minutiae of problems every company has every day has not in any way affected or altered my reason for remaining invested in the company. Brainchip is in a much better position now than they were in 2019 and 2020. That's progress and progress is good enough for me.
Do your own research. Do not take my words as investment advice. And thanks for reading.
Regards, dippY
However, I believe too many of us here have become myopic, or have misplaced or just plain lost the abilility to see the forest through the trees to say it in another way.
Let me start at my beginning of my peronal Brainchip experience, because it is the reason I invested in the first place. Back in the days of Covid, late 2019, early 2020 I had found myself isolated, in literal lockdown with zero outside life (I'm retired and only went to doctors appointments). Out of boredom I decided to learn about a subject I had a thimbles worth of understanding at that time,....artificial intelligence.
I read, and read, listened to YouTube, looked up words and abbreviations I didn't understand, and began a VERY interesting journey into the growing tsumomi generally referred to as artificial intelligence or A.I.
I learned about the cloud. It is amazing to me how many people don't understand what the cloud is even today, but I digress. I encountered for the first time IoT, or the internet of things. My understanding grew, almost daily.
I saw AI as a gigantic subject matter with many sub topics having subtopics and so on. I likened AI to a huge church (the church of AI sounds terrible, but the picture a big building - AI, with many AI subparts as the pews) with one of the intriguing words, or pews, that picqued my interest being "neuromorphic"
I learned about the EDGE. Reference to edge compute began to make sense to me and when combined with the sheer number of what were edge devices in the world and that that number would continue to grow, I started to see some companies that were involved in the space that was crystalizing in my head as an area of interest and excitement... "edge and neuromorphic computing". Computing like the brain works? Wow. This makes incredible sense I thought.
First up,....Intel (Loihi) and of course IBM and their neuromorphic compute projects. I felt nothing, to be honest. And then I encountered another phrase, "spiking neuromorphic network" compute or "SNN". Now I felt something, and the attributes alledged to apply to that technology got my attention.
So I went into the discovery of SNN neuromorphic compute and eventually discovered Brainchip, a tiny company that was low power, reduced latency and alledgely a good solution for that vast amount of edge devices that was continuing to grow in the world. I eventually bought some Brainchip shares with a massive $50 foriegn transaction fee that almost had me walking away on principle. 3,000 shares at 27 cents seemed like a gamble I was willing to take without knowing what this company was really doing. Info on Brainchip was scant at that time.
Honestly, that was so stupid. It was akin to betting on a horse because you liked its name and knew nothing else about the horse, or the color green the jockey wore. But I did love the name Brainchip.
As I said, back then there really wasn't much info on Brainchip or neuromorphic computing. Not like today. As time went by I accumulated more and more shares because I saw that this technology made so much sense I felt it was a no brainer investment because of course this type of computing would be successful. Ubiquitous possibly,...at least for edge devices. It was that clear to me, and I'm not bragging. What I'm actually saying is that if I could see it then it is in fact that obvious, because even I could see it.
So, ... I bought Brainchip as a flyer, as a speculation that the very reason for its existence made so much sense to me I just knew that this technology was the real deal. It was a small speculative startup in a nascent area of AI, and I entered the stock with the knowledge that the company could fold any day. My eyes were wide open to the risk, so to speak.
I never had a feeling about the stock other than as one way to inexpensively gain some exposure to what would become an inevitable explosion of new edge compute technology, or what we all know to be SNN. It was the burgeoning industry and future prospects that attracted me and the horse that I decided to ride happened to have a name that attracted me to it. Let me repeat, a pretty damn stupid reason to invest.
But as time went by I learned much more, bought more, and long story short remain unfazed by lack of significant IP contracts or deals, employees retiring, NDA's, or anything including Sean Hehir or the BOD. This horse is just barely out of the gate and hasn't even run a furlong. But it is in the race and has a head start imo thanks to the initial success of Akida 1000.
This is my opinion, my Brainchip story, not written to dissuade or persuade anyone from thinking whatever you want to think.
However, as Arm CEO Rene Haas once said on Fox Businuss, CNBC, Bloomberg business and elsewhere,.....it takes 3-5 years for new products to even begin to enter the fab stage. I am remaining patient, undeterred that I have chosen a great horse in a great big edge compute market for which I fully expect to be handsomely rewarded some day. But, then again I may be wrong and that is the risk I took. No regrets.
The forest (spiking neuromorphic compute processing at the edge) is the main and only reason I invested. The minutiae of problems every company has every day has not in any way affected or altered my reason for remaining invested in the company. Brainchip is in a much better position now than they were in 2019 and 2020. That's progress and progress is good enough for me.
Do your own research. Do not take my words as investment advice. And thanks for reading.
Regards, dippY
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