BRN Discussion Ongoing

[rgupta]

We can’t go on forever without revenue. With the IP licences getting some age behind them, at some point they need to start yielding fruit, otherwise we have no business.

We can call those wankers, dumpsters, whatever for calling it out, but they aren’t wrong. Sadly, positive scientific papers and non-commercially binding partnerships will not build a company.

I think the point was more we have 0 new licenses (to our knowledge) and neither Renesas or Megachips have announced they are currently selling their products with Akida in it. In fact they may never announce, it may just appear.
With that in mind, unless there is previous cash receipts owing from either license, or dev boards or EAP fee's etc, the receipts are going to be practically $0.
To speculate anything above that is either stupid or deliberately misleading.

Also a lack of sales is already being called out on days ending in a 'y', so the idea of a 4C being the catalyst for further criticism makes no sense either. It would be simply a reminder of what we are already knowing, day after day.

It's not a matter of whether it is good enough that BRN is yet to have cash receipts, my point is simply where in the world would it appear from?

Edit: Accidentally used the word revenue, instead of cash receipts, in one of the sentences.
Fixed now as people really should know the difference between the two, and what a 4C is for.

Before I share my belief let me tell everyone I am a holder.
Ok, my understanding is brainchip should not have launched akida 1000 in a hotch potch reason being there was no development environment, no modules were available but instead it was produced for EAP customers and they were not very interested.
Just think, if we were selling our kits but there was no ideas or support (how you can sell the same).
We sell two licences and it is taking too long to launch a product. I don't know what we're conditions of those licences but the hype created at that time is following us like anything.
I also assume LDN was axed for the same reason.
Going ahead I believe technology is real and revolutionary but if implementation is bad that can ruin any good product. So I assume management had taken note of failures and developing an ecosystem where after market services are available for a marketable product. And that is the only way to sell the product to right consumers. Right now edge impluse had developed some modules for retail customers and other small and big partners are working on the product. So I assume company is learning from mistakes and results will start getting visible by the time we launch akida 1500.
But definately if we cannot sell akida 1500 to retail customers that will be considered a big failure.
So still holding and have a full faith in technology but still believe there are always slips between the cup and lips.
So fingers crossed and hopefully mangement have a fool proof plan to implement things.

 

[Slade]

Before I share my belief let me tell everyone I am a holder.
Ok, my understanding is brainchip should not have launched akida 1000 in a hotch potch reason being there was no development environment, no modules were available but instead it was produced for EAP customers and they were not very interested.
Just think, if we were selling our kits but there was no ideas or support (how you can sell the same).
We sell two licences and it is taking too long to launch a product. I don't know what we're conditions of those licences but the hype created at that time is following us like anything.
I also assume LDN was axed for the same reason.
Going ahead I believe technology is real and revolutionary but if implementation is bad that can ruin any good product. So I assume management had taken note of failures and developing an ecosystem where after market services are available for a marketable product. And that is the only way to sell the product to right consumers. Right now edge impluse had developed some modules for retail customers and other small and big partners are working on the product. So I assume company is learning from mistakes and results will start getting visible by the time we launch akida 1500.
But definately if we cannot sell akida 1500 to retail customers that will be considered a big failure.
So still holding and have a full faith in technology but still believe there are always slips between the cup and lips.
So fingers crossed and hopefully mangement have a fool proof plan to implement things.

Very wisdom. Appreciate much. Thank you for your provision.

 

[LexLuther77]

Hi all
Trying to find out when 4c due?

At the 11th hour on the 31/7 no doubt

 

[Easytiger]

You seem to have conveniently missed a few details. The 12months spend to Dec 31 last year was $13m, they said the $6m spend last qtr was a lot bigger than normal obviously for costs incurred for 1.5 and gen 2 tape out and prove outs. And also the LDA call wasn’t finished til after March 31 so $12m will be reported this qtr. Closing balance $17.7m last qtr plus $12.2m LDA money is $30m, minus an average quarter spend of say $4m leaves a closing balance of $26m. Give or take. Not as shocking as you are stating. So maybe 6 quarters. Will def need revenue/new licence fees soon but I think people should prepare for next to zero again this 4C.

if no revenue, then cut costs and slow cash burn rate to ensure a product commercialises before next capital raise.

 

[wilzy123]

Before I share my belief let me tell everyone I am a holder.

 

[Frangipani]

Interesting read about the enormous potential neuromorphic computing holds “for faster and greener telecommunications technologies”:

King's engineers to explore brain-inspired computing in 6G telecommunications

Neuromorphic computing holds significant potential for faster and greener telecommunications technologies.

www.kcl.ac.uk

18 July 2023

King's engineers to explore brain-inspired computing in 6G telecommunications​

​

Neuromorphic computing holds significant potential for faster and greener telecommunications technologies.

Two King’s engineers will lead a project aimed at developing computing technology inspired by the human brain for wireless communications.
Funded by the Engineering and Physical Sciences Research Council (EPSRC) and by the National Science Foundation (NSF) in the United States, the research will enable quicker and more energy efficient computing and telecommunications and allow better integration of AI into wireless communications. This could revolutionise the field of mobile healthcare, telecommunications and robotics.

Professor Osvaldo Simeone and Dr Bipin Rajendran from the Department of Engineering, alongside Professor Vincent Poor from Princeton University, will explore how brain-inspired or neuromorphic computing can be used in the transfer of information via telecommunications networks, serving as the basis for the emergence of new services in 6G networks.

"The global 5G rollout marks a shift in telecom systems, which are transforming in order to cater to the transmission of intelligence between machines."
Professor Simeone

Professor Simeone said:
"The global 5G rollout marks a shift in telecom systems, which are transforming in order to cater to the transmission of intelligence between machines."
“Conventional communications systems are designed to serve as generic bit pipes, transmitting and storing information in bits. This makes it impossible for existing telecommunication networks to adapt to new situations and to tailor their resource consumption to the semantics of the information being exchanged between end points.”

Dr Rajendran added:
“Neuromorphic systems are designed to emulate the behaviour of neural networks in the brain. Using Spiking Neural Networks (SNNs), a type of neural network model, neuromorphic technology transmits information through the occurrence of spikes."

"Neurons in SNNs gather signals over time and send out a spike when a certain threshold is reached. This way, SNNs allow for event-driven and efficient computations, as information is processed only when needed.”

Neuromorphic systems are designed to emulate the behaviour of neural networks in the brain. Using Spiking Neural Networks...neuromorphic technology transmits information through the occurrence of spikes...[allowing] for event-driven and efficient computations, as information is processed only when needed.”
Dr Rajendran

Unlike traditional computers, neuromorphic technology can learn and adapt in real-time. Another significant advantage of neuromorphic computing, according to the researchers, is its energy efficiency. These two features make the integration of neuromorphic computing and telecommunications particularly promising, enabling the use of sophisticated artificial intelligence (AI) tools on mobile devices and systems, providing enhanced services and adapting to user needs.

To develop this cutting-edge technology, Professor Simeone and Dr Rajendran will work with world-leading industrial partners, including Intel Labs, NVIDIA, and AccelerComm. King’s researchers will use their expertise to explore the fundamental principles, algorithms and hardware co-design of neuromorphic communications.

In this story​

Dr Bipin Rajendran ​

Reader in Engineering

Professor Osvaldo Simeone ​

Professor of Information Engineering

 

[Foxdog]

Interesting read about the enormous potential neuromorphic computing holds “for faster and greener telecommunications technologies”:

King's engineers to explore brain-inspired computing in 6G telecommunications

Neuromorphic computing holds significant potential for faster and greener telecommunications technologies.

www.kcl.ac.uk

18 July 2023

King's engineers to explore brain-inspired computing in 6G telecommunications​

​

Neuromorphic computing holds significant potential for faster and greener telecommunications technologies.

Two King’s engineers will lead a project aimed at developing computing technology inspired by the human brain for wireless communications.
Funded by the Engineering and Physical Sciences Research Council (EPSRC) and by the National Science Foundation (NSF) in the United States, the research will enable quicker and more energy efficient computing and telecommunications and allow better integration of AI into wireless communications. This could revolutionise the field of mobile healthcare, telecommunications and robotics.

Professor Osvaldo Simeone and Dr Bipin Rajendran from the Department of Engineering, alongside Professor Vincent Poor from Princeton University, will explore how brain-inspired or neuromorphic computing can be used in the transfer of information via telecommunications networks, serving as the basis for the emergence of new services in 6G networks.



Professor Simeone said:
"The global 5G rollout marks a shift in telecom systems, which are transforming in order to cater to the transmission of intelligence between machines."
“Conventional communications systems are designed to serve as generic bit pipes, transmitting and storing information in bits. This makes it impossible for existing telecommunication networks to adapt to new situations and to tailor their resource consumption to the semantics of the information being exchanged between end points.”

Dr Rajendran added:
“Neuromorphic systems are designed to emulate the behaviour of neural networks in the brain. Using Spiking Neural Networks (SNNs), a type of neural network model, neuromorphic technology transmits information through the occurrence of spikes."

"Neurons in SNNs gather signals over time and send out a spike when a certain threshold is reached. This way, SNNs allow for event-driven and efficient computations, as information is processed only when needed.”



Unlike traditional computers, neuromorphic technology can learn and adapt in real-time. Another significant advantage of neuromorphic computing, according to the researchers, is its energy efficiency. These two features make the integration of neuromorphic computing and telecommunications particularly promising, enabling the use of sophisticated artificial intelligence (AI) tools on mobile devices and systems, providing enhanced services and adapting to user needs.

To develop this cutting-edge technology, Professor Simeone and Dr Rajendran will work with world-leading industrial partners, including Intel Labs, NVIDIA, and AccelerComm. King’s researchers will use their expertise to explore the fundamental principles, algorithms and hardware co-design of neuromorphic communications.

In this story​

Dr Bipin Rajendran ​

Reader in Engineering

Professor Osvaldo Simeone ​

Professor of Information Engineering

'To develop this cutting-edge technology, Professor Simeone and Dr Rajendran will work with world-leading industrial partners, including Intel Labs, NVIDIA, and AccelerComm. King’s researchers will use their expertise to explore the fundamental principles, algorithms and hardware co-design of neuromorphic communications'.

Again it seems that BRN is ignored in leui of bigger players, despite supposedly having the commercial technology already figured out. Unless of course Intel Labs gives us a shoe-in but more likely they will leverage off our ideas for all of the accolades.

I begin to wonder if our company is ruthless enough to succeed in the competitive tech world or if they're just gleefully showing everyone, including our competitors how good our tech is without driving home the advantage.

 

[FKE]

Expanding the Use Cases for Event-Based Vision Systems | Webinars | Photonics Spectra

While the concept of neuromorphic-enabled event cameras isn’t new, the last few years have seen a significant pick up in the adoption of this te

events.photonics.com

Expanding the Use Cases for Event-Based Vision Systems

Presentation will begin: Wednesday, July 19, 2023 - 12:30 PM EDT
Presented by: Luca Verre, Prophesee

While the concept of neuromorphic-enabled event cameras isn’t new, the last few years have seen a significant pick up in the adoption of this technology. This is due, in part, to the progress made by sensor companies in improving sensor performance, size, and power. Additionally, several industries have leveraged the benefits of these sensors and software for machine vision systems that can capture and analyze visual data more efficiently.

Event cameras have fundamental benefits in terms of efficiency, speed, and dynamic range. Event-based vision sensors can achieve better speed versus power consumption trade-offs. By relying on a different way of acquiring information compared with a conventional camera, they also address applications in the field of machine vision and AI.

These benefits, driven by an escalation in the volume and complexity of visual data processing in many types of applications, from industrial to transportation to consumer and mobile, have fueled interest in this technology. This in turn has ignited a proliferation of development activity and experimentation, spurred on by Open-Source initiatives and more advanced development kits and tools from some of the early providers of event cameras.

Event-based vision can no longer just be viewed as an approach for industrial vision systems such as robotics, inspection, and predictive maintenance, although this remains the largest market. The technology has been used to explore the outer reaches of the solar system, help restore sight to the visually impaired, and identify gene sequences in advanced scientific research. Event cameras are also now making inroads into more consumer-facing applications such as mobile phones, cars, wearables, and AR/VR systems, which is significant from a market growth standpoint.

This talk looks at the current state of neuromorphic-enabled vision systems and provides a glimpse into a future where the systems can allow for more efficient and helpful vision-enabled purposes across all aspects of life.


About the presenter
Luca VerreLuca Verre is co-founder and CEO of Prophesee, the inventor of the world’s most advanced neuromorphic vision systems. Prophesee’s patented technology is inspired by human vision, giving sight back to the blind and unleashing new performance, safety, and autonomy standards to robots, consumer devices, and cars.

Verre is a World Economic Forum Technology Pioneer. He has extensive international management experience in the industrial and electronics sectors. His experience includes project and product management, marketing, and business development roles at Schneider Electric. Prior to Schneider Electric, he worked as a research assistant in photonics at Imperial College London. Verre holds a Master of Science degree in physics, electronics, and industrial engineering from Politecnico di Milano and École Centrale and a Master of Business Administration degree from INSEAD.




About the sponsor(s)
Prophesee SA - Inventor of neuromorphic vision systems inspired by human vision. Technology uses a sensor design and AI algorithms that mimic the eye and brain to reveal what was invisible until now using standard frame-based technology.

 

[AARONASX]

Keep an eye on this

 

[Sirod69]

Justin KinseyJustin Kinsey• 2. President at SBT | 17 years of advising leaders in the semiconductor industry and architecting teams | from startups to F500
4 Std.

I have been asked multiple times recently: “What companies are you betting on/investing in the AI/ML, and accelerated computing ecosystem?” where it is hard to separate the signal from the noise. So here is my “lucky 13 list” that I am betting on/Investing in:

Astera Labs Co-founders Jitendra M., Sanjay Gajendra, and Casey Morrison are leading an interconnect revolution with their LEO platform, removing bottlenecks in memory bandwidth and enabling the pooling of memory.

BrainChip CEO Sean Hehir and team have released a first-to-market digital neuromorphic processor IP they call “Akida”, which localizes AI/ML compute functions at the edge

Condor Computing Corporation in Austin TX is led by industry veteran Ty Garibay whose accomplishments are prolific. The company is focused on designing ultra-high-performance processors based on RISC-V, which I believe is the future of chip architecture.

Cornami, Inc. Has developed a novel architecture that enables end-2-end encryption through fully homomorphic encryption (I am all-in on FHE). CEO Walden C. ( Wally ) Rhines believes is as well.

Enfabrica Co-founders Rochan Sankar and Shrijeet Mukherjee came out of stealth this year and announced their concept for data center networking they’ve dubbed “Accelerated Compute Fabric”, which will eliminate I/O bottlenecks.

Etched.ai Is designing specialized acceleration chips to run LLMs and nothing else. Simplicity trumps complexity. Harvard classmates Gavin Uberti and Christopher Zhu founded the company.

Fabric Cryptography is another FHE-forward cryptography hardware technology company founded and led by a “Mt. Rushmore” of experience in Arithmetics (Michael Gao), Software (Gilbert Hendry), Zero-Knowledge-proofs (Rami Akeela, Ph.D. Akeela), and RISC-V hardware (David Garrett).

Kneron Is led by founder 劉峻誠Albert Liu and is developing on-chip edge AI solutions that work seamlessly with cloud-based AI. Kneron has gained considerable traction in the automotive sector by integrating into advanced vehicle safety systems.

Lemurian Labs Is co-founded and led by Jay Dawani and Vassil Dimitrov, both accomplished mathematicians. The company is developing a processor for AI/ML that employs its unique approach to arithmetic for acceleration.

Syntiant Corp., co-founded by Kurt Busch, Pieter Vorenkamp, Stephen Bailey and Jeremy Holleman, is going to enable deep learning and AI capabilities in billions of edge devices worldwide through their NDP's.

Tenstorrent Inc. is led by renowned architect Jim Keller. Their RISC-V architecture and performance-leading hardware is complemented by software, a cloud solution, and licensable IP, all of which have garnered the attention of top global partners.

Untether AI.ai is led and co-founded by martin snelgrove, Darrick Wiebe, and Raymond Chik, the company’s tsunAImi accelerators deliver the world’s highest compute density for diverse AI workloads like vision, natural language processing, and inference.

 

[IloveLamp]

Revolutionizing Predictive Maintenance with AI: A Case Study

Revolutionizing Predictive Maintenance with AI: A Case Study

Introduction: In today's rapidly evolving landscape, organizations are seeking innovative solutions to optimize maintenance operations and improve asset performance. This case study explores how AI Labs Inc.

www.linkedin.com

 

[IloveLamp]

Meta and Qualcomm team up to run big A.I. models on phones

Large language models (LLMs) are the technology that underpin applications like OpenAI’s ChatGPT that can return out text that resembles human output.

www-nbcwashington-com.cdn.ampproject.org

 

[wilzy123]

 

[Boab]

Expanding the Use Cases for Event-Based Vision Systems | Webinars | Photonics Spectra

While the concept of neuromorphic-enabled event cameras isn’t new, the last few years have seen a significant pick up in the adoption of this te

events.photonics.com

Expanding the Use Cases for Event-Based Vision Systems

Presentation will begin: Wednesday, July 19, 2023 - 12:30 PM EDT
Presented by: Luca Verre, Prophesee

While the concept of neuromorphic-enabled event cameras isn’t new, the last few years have seen a significant pick up in the adoption of this technology. This is due, in part, to the progress made by sensor companies in improving sensor performance, size, and power. Additionally, several industries have leveraged the benefits of these sensors and software for machine vision systems that can capture and analyze visual data more efficiently.

Event cameras have fundamental benefits in terms of efficiency, speed, and dynamic range. Event-based vision sensors can achieve better speed versus power consumption trade-offs. By relying on a different way of acquiring information compared with a conventional camera, they also address applications in the field of machine vision and AI.

These benefits, driven by an escalation in the volume and complexity of visual data processing in many types of applications, from industrial to transportation to consumer and mobile, have fueled interest in this technology. This in turn has ignited a proliferation of development activity and experimentation, spurred on by Open-Source initiatives and more advanced development kits and tools from some of the early providers of event cameras.

Event-based vision can no longer just be viewed as an approach for industrial vision systems such as robotics, inspection, and predictive maintenance, although this remains the largest market. The technology has been used to explore the outer reaches of the solar system, help restore sight to the visually impaired, and identify gene sequences in advanced scientific research. Event cameras are also now making inroads into more consumer-facing applications such as mobile phones, cars, wearables, and AR/VR systems, which is significant from a market growth standpoint.

This talk looks at the current state of neuromorphic-enabled vision systems and provides a glimpse into a future where the systems can allow for more efficient and helpful vision-enabled purposes across all aspects of life.


About the presenter
Luca VerreLuca Verre is co-founder and CEO of Prophesee, the inventor of the world’s most advanced neuromorphic vision systems. Prophesee’s patented technology is inspired by human vision, giving sight back to the blind and unleashing new performance, safety, and autonomy standards to robots, consumer devices, and cars.

Verre is a World Economic Forum Technology Pioneer. He has extensive international management experience in the industrial and electronics sectors. His experience includes project and product management, marketing, and business development roles at Schneider Electric. Prior to Schneider Electric, he worked as a research assistant in photonics at Imperial College London. Verre holds a Master of Science degree in physics, electronics, and industrial engineering from Politecnico di Milano and École Centrale and a Master of Business Administration degree from INSEAD.




About the sponsor(s)
Prophesee SA - Inventor of neuromorphic vision systems inspired by human vision. Technology uses a sensor design and AI algorithms that mimic the eye and brain to reveal what was invisible until now using standard frame-based technology.

A reminder what Anil and Luca said at the partnership announcement back in June 2022

 

[Wags]

Price sensitive announcement

 

[Labsy]

Strategic patent granted

 

[buena suerte :-)]

PRICE SENSITIVE !!!!!

 

[buena suerte :-)]

 

[Okeydokey01]

Apologies if already posted.
Valeo wins best sensors 2023 for its SCALA 3 LIDAR. I have just found the below article published a couple pf days ago.

I really liked

"Valeo SCALA 3 is more than hardware. It comes with a suite of software modules that includes algorithms for both artificial intelligence and perception. The AI system collects data from the LiDAR sensors and analyzes them in real-time, enabling the SCALA 3 to direct an automobile's trajectory and predict clear paths on the road ahead."

and

"Valeo's SCALA 3 LiDAR has already been chosen by a leading American robotaxi company and a leading Asian automobile manufacturer and has registered orders worth over 1 billion Euros."

https://www.fierceelectronics.com/sensors/valeo-wins-best-sensors-2023-its-scala-3-lidar

 

[IloveLamp]

I can hear the water starting to boil in the shorter pot.......