BRN Discussion Ongoing
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David holland
Regular
It would be nice to have a IP License with this great company, we can only wishOur good friends at Tata are flying the Neuromorphic flag .
They will be a ongoing pillar of wealth for Brainchip
With the top brass of Tata being in the USAnext week could that visit coincide with a signing of a IP contract…..
It’s just a matter of when
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We all play online games, but we don't really like loosing at a level that we call "difficult". We often attend online courses/classes, but feel a bit out of class, if content is going over our head.
How about the idea of changing online content or difficulty levels of a game based on performance of student/ gamer ? To reach to such a solution, one obvious approach can be: analyzing the cognitive load of the user via the EEG signal as captured by wearable EEG devices (such as NeuroSky, Emotive etc). And that needs to be done in real-time.
In an accepted paper titled "Towards low power cognitive load analysis using EEG signal: A neuromorphic computing approach" at NeurIPS 2023 MLNCP workshop, we have shown that spiking neural network (SNN) can offer pretty high accuracy in classifying the cognitive load of a user. The added advantage is, when it runs on neuromorphic hardware, it offers very real-time and very low power solution that can run on wearable EEG devices.
For further know-hows, meet me at NeurIPS 2023 next week at New Orleans, USA. My co-authors are Dighanchal Banerjee Debatri Chatterjee Arpan Pal.
Tata Consultancy Services - Research
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David holland
Regular
We have a international superior line up , behind closed doors where hitting the ball sweet, but yet to transfer all that supposed great work to the areas it all counts ,the Leaderboard
They say if you can remember the 60s, you weren't there.
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SERA2g
Founding Member
Interesting.
I previously said: "The only person I don't want to see re-elected at the next AGM is Pia. Loan, Antonio etc all come with significant semi-conductor industry experience and expertise. They've been there and have done it and consequently have great networks to leverage. Pia has none of that. Pia has very good board level experience and would be suitable for other listed companies, but not Brainchip"
You then heavily paraphrased my post by saying "Despite what someone recently posted about Pia Turcinov being next to useless, questioning why she is even on our BOD"
It seems you are now suddenly agreeing with me that our prospective employees and executives having semiconductor industry related experience and networks is absolutely critical.
"once again as with Dr Lewis, Steve bringsa huge network in this briefcase...... can you place a value on that, the answer is clearly no !!"
Now it's my turn to paraphrase you.
"Semiconductor industry networks, you simply can not place a value on it", Mr Tech Laden, 6th December 2023.
Wise words, mate.
Hahaha...I got it right 6/7 times in that post....after a few more wines that % will probably fall to 1/7 timesNo proof reading for Tech either ................................ Breainchip? .............................
Pom down under
Regular
Can’t believe you expect me to read that
Hopefully someone else explains it quickly and easily lol
Getupthere
Regular
Manipulation at its best.
Big holders have been told nothing will be happening for over a year so they lend shares out to make money.
Shorters do there thing and short Brn all the way down to 20 cents.
Shorters don’t have to buy the shares back on market instead organise a after hours off market on the 30th November.
Retail always get f@“ed!
The share price will do what the share price will do.
Attachments
Fullmoonfever
Top 20
I know we use SRAM from mem in our chips but is our IP able to piggyback into something like this? @Diogenese
By Nick Flaherty
MATERIALS & PROCESSES IOT WEARABLES AI MEMORY & DATA STORAGE
Support for “always-on” sensing and response makes the devices suitable for advanced IoT and industrial segments such as smart home, security, wearables, robotics, and many more. The family of devices has scalable on-chip memory, including non-volatile RRAM, as well as high speed, secured external memory support.
“Infineon’s new PSoC Edge portfolio is built on years of experience delivering solutions to intelligently control, interact, and connect our world with highly usable and powerful MCU-based systems,” said Steve Tateosian, Senior Vice President of Microcontrollers of Infineon.
“They offer an ideal mix of scalable power and performance to support emerging AI/ML requirements, extensive HMI capabilities and security features required for next-generation applications. All supported with a deep ecosystem of software and tools, fit for task.”
The performance of the PSoC Edge family extends support for advanced graphics, voice, audio, and vision-based applications to the existing PSoC portfolio for easy migration of applications within the family, as well as an upgrade path from existing designs.
Infineon’s ModusToolbox software platform provides a collection of development tools, libraries, and embedded runtime assets for a flexible and comprehensive development experience. ModusToolbox supports a wide range of use cases including consumer IoT, industrial, smart home, wearable, and many other applications.
Imagimob Studio is an Edge AI development platform, integrated into ModusToolbox, and delivers end to end ML development, from data in to model deployed. Starter projects and Imagimob’s Ready Models make it simple to get started. Together with PSoC Edge, Imagimob makes it possible to deploy state of the art machine learning models for the edge.
The PSoC Edge family with RRAM for edge AI is available for early access customers now.
PSoC Edge MCU brings RRAM to AI at the edge
New Products | November 7, 2023By Nick Flaherty
MATERIALS & PROCESSES IOT WEARABLES AI MEMORY & DATA STORAGE
Infineon Technologies has developed a family of microcontrollers for energy efficient machine learning and AI inference at the edge with low power resistive RAM (RRAM).
The PSoC Edge devices are based on high performance ARM Cortex-M55, including Helium DSP support paired with ARM Ethos-U55 and Cortex-M33 paired with Infineon’s ultra-low power NNLite and RRAM memory from TSMC. NNLite is a proprietary hardware accelerator intended to accelerate the neural networks used in Machine learning and AI applications.Support for “always-on” sensing and response makes the devices suitable for advanced IoT and industrial segments such as smart home, security, wearables, robotics, and many more. The family of devices has scalable on-chip memory, including non-volatile RRAM, as well as high speed, secured external memory support.
“Infineon’s new PSoC Edge portfolio is built on years of experience delivering solutions to intelligently control, interact, and connect our world with highly usable and powerful MCU-based systems,” said Steve Tateosian, Senior Vice President of Microcontrollers of Infineon.
“They offer an ideal mix of scalable power and performance to support emerging AI/ML requirements, extensive HMI capabilities and security features required for next-generation applications. All supported with a deep ecosystem of software and tools, fit for task.”
The performance of the PSoC Edge family extends support for advanced graphics, voice, audio, and vision-based applications to the existing PSoC portfolio for easy migration of applications within the family, as well as an upgrade path from existing designs.
Infineon’s ModusToolbox software platform provides a collection of development tools, libraries, and embedded runtime assets for a flexible and comprehensive development experience. ModusToolbox supports a wide range of use cases including consumer IoT, industrial, smart home, wearable, and many other applications.
Imagimob Studio is an Edge AI development platform, integrated into ModusToolbox, and delivers end to end ML development, from data in to model deployed. Starter projects and Imagimob’s Ready Models make it simple to get started. Together with PSoC Edge, Imagimob makes it possible to deploy state of the art machine learning models for the edge.
The PSoC Edge family with RRAM for edge AI is available for early access customers now.
Kachoo
Regular
Well LDA will release hopefully at higher prices 25 million shares. That's now 37 million left. And then there will always be some loose sellers they covered from 150 million or something like that. Clearly they played their game well and we just had no clue.
I would even guess to say they will ask LDA for a cross trade possibly at some agreed price in the near future I could be wrong but BRN and LDA want the most $$ for those shares obviously. There will be some that have to cover higher but I think they won that round. Good thing is we can get this behind us and move on.
jtardif999
Regular
I don’t think BRN has trade marked the name ‘Brainchip’. They are the company called ‘BrainChip’. On the other hand they have trade marked the name ‘Akida’.The patented name would be as "Brainchip" one word.
But the headline might inadvertently drive some attention/interest our way, so it's a good thing
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Pom down under
Regular
Manipulation at its best.
Big holders have been told nothing will be happening for over a year so they lend shares out to make money.
Shorters do there thing and short Brn all the way down to 20 cents.
Shorters don’t have to buy the shares back on market instead organise a after hours off market on the 30th November.
Retail always get f@“ed!
The share price will do what the share price will do.
Fullmoonfever
Top 20
That's off the USPTO site and gives what they've lodged.
Brainchip, Inc. Trademarks & Logos
uspto.report
Makeme 2020
Regular
Time will tell.
Fullmoonfever
Top 20
C'mon DELL....you know ya want to
Three quarters into the post.
www.dell.com
December 5, 2023 | 5 min read
By: Jeff Clarke, vice chairman and COO, Dell Technologies
Jeff Clarke, vice chairman and chief operating officer, Dell Technologies
This year has brought the fastest adoption curve of technology I’ve ever seen. Yes, I’m talking about generative AI (GenAI), but with it comes an accelerated pace of innovation in multicloud, edge, telecom, security and the PC ecosystem. GenAI’s influence across macro- and micro-trends is huge, but it isn’t the only big thing on my mind.
Here’s what I expect in 2024:
Organizations’ outcomes are only as good as the data on which they rely — garbage in, garbage out. IDC research has found that organizations are only able to extract 38% of the value of their data, likely because locating, accessing, processing and protecting data throughout its life cycle and across disparate environments is way too difficult.
There are data copies living on-prem and across clouds, proliferating data sources, data formats and tools making it hard to unlock real business value. With data and apps running across on-prem, edge and multiple public clouds, organizations will be pressed to get control of shadow IT and simplify for a cleaner view of their entire IT estates. Multicloud isn’t new, but 2024 is the year the approach gets a boost.
Early-edge AI proof of concepts will begin to translate into better outcomes across the manufacturing, retail, healthcare and transportation industries. We will see customers create and use domain-specific, field-of-study-specific and process-specific models where data is stored and instantaneously acted on at their own unique edge.
It’s critical for organizations to use their own data to train and tune new models and run inference where data is created.
Think about a smart factory doing heavy process automation and creating real-time data. More and more resources are going to be at the edge of the network doing computation and storing information.
From Dell’s GenAI Pulse Survey, 2023
our GenAI Pulse survey, 65% of organizations that have moved beyond pilot stages expect to see meaningful results from their GenAI initiatives in the next 12 months.
LLMs kickstarted exciting possibilities with GenAI. But I believe the diverse needs of enterprises will promote the rise of smaller, flexible and more efficient language models. As AI decentralizes and the algorithm evolves to support smaller models and smaller data sets, right-sized, less power-hungry infrastructure is increasingly important. We’re also seeing an advanced speed of architecture evolution with retrieval augmented generation (RAG) and other techniques, making GenAI outcomes more accessible.
The availability of both closed- and open-source models and tools to help enterprises implement GenAI will continue to expand. This year, Meta released Llama 2 as a family of open technologies, which helped the industry shift toward openness. There will be more foundational models, accessories and tools to help develop GenAI systems, secure them and manage the data they need.
As users look to maximize these models and tools, we know that majority partnerships, like ours with Hugging Face, will help these AI builders seamlessly take advantage of open-source libraries while keeping their data securely on-premises.
We also see a big push for architectural and silicon innovation to support a range of workloads running in a highly distributed landscape. These include DPUs, FPGAs, neuromorphic and quantum computing chips, created with sustainable IT in mind to reduce energy consumption. Today, we track over 100 diverse AI accelerators in development and expect demand in 2024 to pull more options into production.
The PC continues to get more powerful. Moving beyond AI integrated into systems for better performance, we’re about to see AI come to life and deliver on the promise of digital assistants.
For example, instead of mostly command-and-control interactions driven by you typing on a keyboard, there will be additional non-text-based ways to prompt technology to have a bi-directional experience between humans and PCs. Imagine a future where you can collaborate or co-create with voice, visual commands and gestures.
Envision allowing your PC to interpret your mood, facial expression, tone of voice or even a change in the way you type for a much richer experience that delivers the result you are looking for and in your preferred format. Your PC experience will transition from searching to prompting, from reading to understanding, from editing to directing.
As we ask our devices to do more, it will require PCs that use language modeling, language processing and machine learning capabilities to improve the user experience. AI making its way to the device also brings with it efficiencies like cost effectiveness, improved privacy and security, reduced latency and sustainability benefits. It will also require a new architecture that doesn’t purely rely on the CPU or GPU for processing.
While we can’t always predict the future, we have no doubt that 2024 will be another wild ride of innovation. As a tech optimist, I am confident that innovation will drive amazing societal and business progress.
Interested in hearing more from Dell thought leaders on 2024 predictions? Click this link to register for an upcoming broadcast featuring Chief AI Officer Jeff Boudreau and Accenture Chief AI Officer Lan Guan on demystifying generative AI and key advice for the year ahead.
Three quarters into the post.
Top Tech Predictions for 2024 | Dell
Multicloud, edge, open ecosystems, PC love, and, of course, GenAI. Here's what Dell COO Jeff Clarke expects heading into 2024.
Top Tech Predictions for 2024
Multicloud, edge, open ecosystems, PC love, and, of course, GenAI. Here's what Dell COO Jeff Clarke expects heading into 2024.December 5, 2023 | 5 min read
By: Jeff Clarke, vice chairman and COO, Dell Technologies
Jeff Clarke, vice chairman and chief operating officer, Dell Technologies
This year has brought the fastest adoption curve of technology I’ve ever seen. Yes, I’m talking about generative AI (GenAI), but with it comes an accelerated pace of innovation in multicloud, edge, telecom, security and the PC ecosystem. GenAI’s influence across macro- and micro-trends is huge, but it isn’t the only big thing on my mind.
Here’s what I expect in 2024:
Data drama will boost the role of multicloud.
We’ve experienced years of data growth and advances in compute power and storage performance. Guess what? More data is coming. More power and performance are coming. Our economy lives, runs and thrives on data. And AI loves data.Organizations’ outcomes are only as good as the data on which they rely — garbage in, garbage out. IDC research has found that organizations are only able to extract 38% of the value of their data, likely because locating, accessing, processing and protecting data throughout its life cycle and across disparate environments is way too difficult.
There are data copies living on-prem and across clouds, proliferating data sources, data formats and tools making it hard to unlock real business value. With data and apps running across on-prem, edge and multiple public clouds, organizations will be pressed to get control of shadow IT and simplify for a cleaner view of their entire IT estates. Multicloud isn’t new, but 2024 is the year the approach gets a boost.
Better data outcomes are on the horizon.
We know that over 80% of data lives on-prem, and over 50% of new data will be generated at the edge. That means workloads continue to be highly distributed and decentralized as AI moves to the edge across devices and applications.Early-edge AI proof of concepts will begin to translate into better outcomes across the manufacturing, retail, healthcare and transportation industries. We will see customers create and use domain-specific, field-of-study-specific and process-specific models where data is stored and instantaneously acted on at their own unique edge.
It’s critical for organizations to use their own data to train and tune new models and run inference where data is created.
Think about a smart factory doing heavy process automation and creating real-time data. More and more resources are going to be at the edge of the network doing computation and storing information.
GenAI will move from proof of concept to proof of productivity gains.
GenAI projects will shift from proof of concept to proof of productivity gains with greater adoption and scale across organizations and industries. And according toFrom Dell’s GenAI Pulse Survey, 2023
our GenAI Pulse survey, 65% of organizations that have moved beyond pilot stages expect to see meaningful results from their GenAI initiatives in the next 12 months.
LLMs kickstarted exciting possibilities with GenAI. But I believe the diverse needs of enterprises will promote the rise of smaller, flexible and more efficient language models. As AI decentralizes and the algorithm evolves to support smaller models and smaller data sets, right-sized, less power-hungry infrastructure is increasingly important. We’re also seeing an advanced speed of architecture evolution with retrieval augmented generation (RAG) and other techniques, making GenAI outcomes more accessible.
Expect to see increased demand for open-source AI tools and the platforms that support them.
The desire for greater choice will drive demand for open-source AI tools. This will make GenAI more accessible and promote innovation and AI transparency. As open-source adoption grows, developers will seek IT platforms that can seamlessly incorporate these tools across various domains, like MLOps, ITOps and AIOps. This integration is vital to support secure and scalable AI deployments within enterprise environments.The availability of both closed- and open-source models and tools to help enterprises implement GenAI will continue to expand. This year, Meta released Llama 2 as a family of open technologies, which helped the industry shift toward openness. There will be more foundational models, accessories and tools to help develop GenAI systems, secure them and manage the data they need.
As users look to maximize these models and tools, we know that majority partnerships, like ours with Hugging Face, will help these AI builders seamlessly take advantage of open-source libraries while keeping their data securely on-premises.
We also see a big push for architectural and silicon innovation to support a range of workloads running in a highly distributed landscape. These include DPUs, FPGAs, neuromorphic and quantum computing chips, created with sustainable IT in mind to reduce energy consumption. Today, we track over 100 diverse AI accelerators in development and expect demand in 2024 to pull more options into production.
You’ll love your PC…even more
The PC continues to get more powerful. Moving beyond AI integrated into systems for better performance, we’re about to see AI come to life and deliver on the promise of digital assistants.
For example, instead of mostly command-and-control interactions driven by you typing on a keyboard, there will be additional non-text-based ways to prompt technology to have a bi-directional experience between humans and PCs. Imagine a future where you can collaborate or co-create with voice, visual commands and gestures.
Envision allowing your PC to interpret your mood, facial expression, tone of voice or even a change in the way you type for a much richer experience that delivers the result you are looking for and in your preferred format. Your PC experience will transition from searching to prompting, from reading to understanding, from editing to directing.
As we ask our devices to do more, it will require PCs that use language modeling, language processing and machine learning capabilities to improve the user experience. AI making its way to the device also brings with it efficiencies like cost effectiveness, improved privacy and security, reduced latency and sustainability benefits. It will also require a new architecture that doesn’t purely rely on the CPU or GPU for processing.
While we can’t always predict the future, we have no doubt that 2024 will be another wild ride of innovation. As a tech optimist, I am confident that innovation will drive amazing societal and business progress.
Interested in hearing more from Dell thought leaders on 2024 predictions? Click this link to register for an upcoming broadcast featuring Chief AI Officer Jeff Boudreau and Accenture Chief AI Officer Lan Guan on demystifying generative AI and key advice for the year ahead.
Pom down under
Regular
The more I think about the name brainchip the more I don’t like it for some reason, I like something that ends in Ai or similar maybe something like neuromophic intelligence or even akidaAi. I had to rebrand once after Apple didn’t like me calling my phone repair shops applecreens.That's off the USPTO site and gives what they've lodged.
Brainchip, Inc. Trademarks & Logos
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Makeme 2020
Regular
Sean loves clocking up those free flights around the globe.
Big money for the Directors nothing for shareholders.
Quatrojos
Regular
It has AI and IP in it.
Humble Genius
Regular
Thats because they wanted you to call it applescreens!
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