Hi M_C:.
Yes the SP is not good but it's not what I'm refering to, it's the lack of communication from the Management, Sean should be communicating more with Shareholders and I'm talking about Twitter posts because that in the scheme of things can easily be discarded.
Some people want it to happen
Some wish it would happen
Others make it happen.
Sean’s busy with his prime duty of making it happen.
If he makes the deals the revenue will happen, followed by the SP.
Like everyone else I would like it to happen faster.
I wish Nanose had hit the markets during COVID which was why I primarily invested. But it didn’t. There’s nothing I can change about that. I cannot influence it. I could spend the next year complaining about it but what’s the point. It’s wasting my energy and not productive use of my time. I prefer a positive frame of mind.
The management team are highly qualified to decide how to run Brainchip in the best interests of us. Most of us are parents and we often made decisions for our children they didn’t like or understand at the time but came to appreciate over time. I trust the experience of the team to do the right thing.
My choice is to either believe my research that products are on their way via MB, VALEO, RENESAS which will equate to income. Or I can become disillusioned and sell. I believe MB are including us in their future cars and RENESAS have publicly stated they are incorporating us in a SOC. I can’t see why they would benefit from making that up. I don’t see MB deciding to stop making cars in a hurry, or RENESAS to stop selling SOC’s therefore it is in the pipeline which is out of my control. Akida can obviously do something RENESAS current technologies cannot or they would have used their own tech. That fills me with confidence!
I strongly suspect VALEO have incorporated AKIDA in their product, namely the scala 3 LiDAR.
Intellisense recently advised they had chosen to incorporate AKIDA in their product.
Therefore I expect income in the future.
So I will wait as long as it takes.
It’s been stated that the Gen 2 has been designed in consultation with customers therefore I expect in another 12-18 months that will equate to revenue. It may be sooner and customers may be waiting to include it in their products.
And some of the best advertising is from other companies so although it’s been posted numerous times I’ll include this from other companies.
Unless they are wasting their time lying then they are all working hard at incorporating Akida in their products also. Therefore in another year or two I expect a constant stream of revenue.
See what they’re saying:
“At Prophesee, we are driven by the pursuit of groundbreaking innovation addressing event-based vision solutions. Combining our highly efficient neuromorphic-enabled Metavision sensing approach with Brainchip’s Akida neuromorphic processor holds great potential for developers of high-performance, low-power Edge AI applications. We value our partnership with BrainChip and look forward to getting started with their 2nd generation Akida platform, supporting vision transformers and TENNs,” said Luca Verre, Co-Founder and CEO at Prophesee.
Luca Verre, Co-Founder and CEO, Prophesee
“BrainChip and its unique digital neuromorphic IP have been part of IFS’ Accelerator IP Alliance ecosystem since 2022,” said Suk Lee, Vice President of Design Ecosystem Development at IFS. “We are keen to see how the capabilities in Akida’s latest generation offerings enable more compelling AI use cases at the edge”
Suk Lee, VP Design Ecosystem Development, Intel Foundry Services
“Edge Impulse is thrilled to collaborate with BrainChip and harness their groundbreaking neuromorphic technology. Akida’s 2nd generation platform adds TENNs and Vision Transformers to a strong neuromorphic foundation. That’s going to accelerate the demand for intelligent solutions. Our growing partnership is a testament to the immense potential of combining Edge Impulse’s advanced machine learning capabilities with BrainChip’s innovative approach to computing. Together, we’re forging a path toward a more intelligent and efficient future,” said Zach Shelby, Co-Founder and CEO at Edge Impulse.
Zach Shelby, Co-Founder and CEO, Edge Impulse
“BrainChip has some exciting upcoming news and developments underway,” said Daniel Mandell, Director at VDC Research. “Their 2nd generation Akida platform provides direct support for the intelligence chip market, which is exploding. IoT market opportunities are driving rapid change in our global technology ecosystem, and BrainChip will help us get there.”
Daniel Mandell, Director, VDC Research
“Integration of AI Accelerators, such as BrainChip’s Akida technology, has application for high-performance RF, including spectrum monitoring, low-latency links, distributed networking, AESA radar, and 5G base stations,” said John Shanton, CEO of Ipsolon Research, a leader in small form factor, low power SDR technology.
John Shanton, CEO, Ipsolon Research
“Through our collaboration with BrainChip, we are enabling the combination of SiFive’s RISC-V processor IP portfolio and BrainChip’s 2nd generation Akida neuromorophic IP to provide a power-efficient, high capability solution for AI processing on the Edge,” said Phil Dworsky, Global Head of Strategic Alliances at SiFive. “Deeply embedded applications can benefit from the combination of compact SiFive Essential™ processors with BrainChip’s Akida-E, efficient processors; more complex applications including object detection, robotics, and more can take advantage of SiFive X280 Intelligence™ AI Dataflow Processors tightly integrated with BrainChip’s Akida-S or Akida-P neural processors.”
Phil Dworsky, Global Head of Strategic Alliances, SiFive
“Ai Labs is excited about the introduction of BrainChip’s 2nd generation Akida neuromorphic IP, which will support vision transformers and TENNs. This will enable high-end vision and multi-sensory capability devices to scale rapidly. Together, Ai Labs and BrainChip will support our customers’ needs to address complex problems,” said Bhasker Rao, Founder of Ai Labs. “Improving development and deployment for industries such as manufacturing, oil and gas, power generation, and water treatment, preventing costly failures and reducing machine downtime.”
Bhasker Rao, Founder, Ai Labs
“We see an increasing demand for real-time, on-device, intelligence in AI applications powered by our MCUs and the need to make sensors smarter for industrial and IoT devices,” said Roger Wendelken, Senior Vice President in Renesas’ IoT and Infrastructure Business Unit. “We licensed Akida neural processors because of their unique neuromorphic approach to bring hyper-efficient acceleration for today’s mainstream AI models at the edge. With the addition of advanced temporal convolution and vision transformers, we can see how low-power MCUs can revolutionize vision, perception, and predictive applications in a wide variety of markets like industrial and consumer IoT and personalized healthcare, just to name a few.”
Roger Wendelken, Senior Vice President IoT and Infrastructure Business Unit, Renesas
“We see a growing number of predictive industrial (including HVAC, motor control) or automotive (including fleet maintenance), building automation, remote digital health equipment and other AIoT applications use complex models with minimal impact to product BOM and need faster real-time performance at the Edge” said Nalin Balan, Head of Business Development at Reality ai, a Renesas company. “BrainChip’s ability to efficiently handle streaming high frequency signal data, vision, and other advanced models at the edge can radically improve scale and timely delivery of intelligent services.”
Nalin Balan, Head of Business Development, Reality.ai, a Renesas Company
“Advancements in AI require parallel advancements in on-device learning capabilities while simultaneously overcoming the challenges of efficiency, scalability, and latency,” said Richard Wawrzyniak, Principal Analyst at Semico Research. “BrainChip has demonstrated the ability to create a truly intelligent edge with Akida and moves the needle even more, in terms of how Edge AI solutions are developed and deployed. The benefits of on-chip AI from a performance and cost perspective are hard to deny.”
Richard Wawrzyniak, Principal Analyst, Semico Research
“BrainChip’s cutting-edge neuromorphic technology is paving the way for the future of artificial intelligence, and Drexel University recognizes its immense potential to revolutionize numerous industries. We have experienced that neuromorphic compute is easy to use and addresses real-world applications today. We are proud to partner with BrainChip and advancing their groundbreaking technology, including TENNS and how it handles time series data, which is the basis to address a lot of complex problems and unlocking its full potential for the betterment of society,” said Anup Das, Associate Professor and Nagarajan Kandasamy, Interim Department Head of Electrical and Computer Engineering, Drexel University.
Anup Das, Associate Professor, Drexel University
“Our customers wanted us to enable expanded predictive intelligence, target tracking, object detection, scene segmentation, and advanced vision capabilities. This new generation of Akida allows designers and developers to do things that were not possible before in a low-power edge device,” said Sean Hehir, BrainChip CEO. “By inferring and learning from raw sensor data, removing the need for digital signal pre-processing, we take a substantial step toward providing a cloudless Edge AI experience.”
Sean Hehir, CEO, BrainChip