BRN Discussion Ongoing

[Evermont]

Worth reading twice, MegaChips expanding the the relationship is huge news.



MegaChips, which recently announced its emergence into the U.S. custom ASIC market, will now leverage BrainChip Akida™ IP to provide U.S. customers with innovative applications across a wide variety of applications, such as consumer tech, telecom/network, industrial and automotive.

"By MegaChips partnering with BrainChip we can deliver customers highly sought-after edge AI solutions and expedite time to market," said Douglas Fairbairn, Director of Business Development for MegaChips LSI USA. "Together we plan to develop innovative LSIs as the silicon partner of BrainChip, helping take customers from ideation to silicon. This collaboration helps us achieve the goal of becoming the leading U.S. ASIC supplier for any customer looking to implement AI solutions at volume."

 

[Sirod69]

AWS Announces General Availability of Amazon EC2 C7g Instances Powered by AWS-designed Graviton3 Processors

AWS today announced the general availability of Amazon EC2 C7g instances powered by AWS-designed Graviton3 processors.

www.businesswire.com

many likes from Arm on LinkedIn what do our spezialists think where is the connection to BRN?

 

[Sirod69]

I think I stand on the tube,
I must know more about the differences from research chip and neuromorphic chip, perhaps somebody can this explain in easy words that i will get it

 

[robsmark]

These points I'm about to make, may have already been raised, as I don't read as many posts as I used to a number
of years ago, please don't take offence, as there's many great posters on this site and all have merit.

Sean, Antonio and Jerome are all driving our company towards a higher plain, this professional combination
will open up many doors over the next 12 months, build business relationships, renew old connections, and at the same
time keep Peter and Anil on their toes, good job they both have extremely disciplined work ethics !

Sean raised a number of key points that all shareholders need to absorb, they are:

Keeping in close contact with clients so that we are ready to pounce when we are aware that they are about
to enter a new "design cycle", that's when the proposals are ready to be presented.
Lou always mentioned this fact, that is, intersecting a company at the right time in their "design cycle", which could
mean a number of years, not months.

The initial license fee is a large investment for any company, but the cream on the top was really the royalty
stream that follows, once a product is in the market place, well, we sit back and let the good times roll !
The basic example was license fee $1.00 royalty fee could be $3.00, $4.00, maybe even $5.00.

BUT....it can take a company 1, 2 or even 3 years to bring their product/s to market.

So the point of all this information is that, REVENUE won't magically appear in 6/12 months, it's all linked to
the size of the companies concerned, the complexity of the design, and THEIR design cycles, yes revenue is
on the immediate horizon, but try to keep things realistic as each quarter unfolds.

Despite what Antonio said at the AGM with regards a potential listing on the Nasdaq, the Board did hold meetings
prior to his inclusion, on said Board....the day will come and I'm sticking with 2025, purely my own view.

Good evening....Tech

Great post Tech.

I would like to elaborate on the time taken to bring a product to market though. Whilst I completely agree with your timeframe, I would like to point out that the timeframe could have commenced in 2020. The EAP saw a couple of dozen or so ”Tier 1” companies pay $50k or whatever it was to work Brainchip to effectively test Akida in their applications. Now as subjective as it is, I don’t think it’s unreasonable to assume that some of this testing would have occurred in real world products, Mercedes being a good example. If this were the case, I think theres potential for these companies to be further along in their journey to the commercialisation of these products that if they were to commence R&D say tomorrow. Obviously they will wait until the last possible moment to sign with Brainchip, as this will defer payment longer. The EAP has given these companies a fantastic opportunity to implement Akida, test, and prep for market, without having to provide further progress payments along the way. I think it’s possible that Akida could hit the shelves in some form sooner than later.

AIMO

 

[Sirod69]

Renesas to Demonstrate MCU of Arm Cortex-M85 Processor

Renesas will be presenting its first live demonstration of a microcontroller (MCU) based on the recently announced Arm® Cortex®-M85 processor.

www.bisinfotech.com

I don´t know if still posted

 

[Diogenese]

AWS Announces General Availability of Amazon EC2 C7g Instances Powered by AWS-designed Graviton3 Processors

AWS today announced the general availability of Amazon EC2 C7g instances powered by AWS-designed Graviton3 processors.

www.businesswire.com

many likes from Arm on LinkedIn what do our spezialists think where is the connection to BRN?

Don't think Amazon technology Inc have quite got there yet.

After all, they're only talking 25% improvement.

New C7g instances use AWS Graviton3 processors to provide up to 25% better compute performance for compute-intensive applications than current generation C6g instances powered by AWS Graviton2 processors.


WO2019118363A1 ON-CHIP COMPUTATIONAL NETWORK

[0101] ... the processing engine array 710 can read weight 706 and state 708 values from the memory subsystem 704, where the state 708 values can initially include the input data. Though not illustrated here, the processing engine array 710 can include an array of processing engines, each of which can execute, for example, a multiply-and-accumulate operation.

 

[Boab]

MegaChips Forms Strategic Partnership with BrainChip​

Thu, May 26, 2022, 11:00 PM

Partnership Provides Ultra-Low Power and High-Performance Edge AI Solutions for ASIC Customers

SAN JOSE, Calif. and LAGUNA HILLS, Calif., May 26, 2022 /PRNewswire/ -- MegaChips, the leading custom ASIC company in Japan, and BrainChip Holdings Ltd, the world's first commercial producer of ultra-low power neuromorphic AI IP, formally announced a strategic partnership signed late last year. MegaChips, which recently announced its emergence into the U.S. custom ASIC market, will now leverage BrainChip Akida™ IP to provide U.S. customers with innovative applications across a wide variety of applications, such as consumer tech, telecom/network, industrial and automotive.

"By MegaChips partnering with BrainChip we can deliver customers highly sought-after edge AI solutions and expedite time to market," said Douglas Fairbairn, Director of Business Development for MegaChips LSI USA. "Together we plan to develop innovative LSIs as the silicon partner of BrainChip, helping take customers from ideation to silicon. This collaboration helps us achieve the goal of becoming the leading U.S. ASIC supplier for any customer looking to implement AI solutions at volume."

BrainChip deploys AI at the edge in a way that existing technologies cannot. The company's tech is both high-performance and ultra-low power, enabling a range of capabilities including on-chip, in-device one-shot learning. BrainChip's IP can be used in a wide range of applications from consumer electronics to industrial IoT to electric vehicles, and smart sensors that can detect and act on visual features, odors, taste, touch, and sound.

"The MegaChips and BrainChip partnership furthers both companies' mission to offer unprecedented products," said Rob Telson, BrainChip Vice President of Worldwide Sales and Marketing. "By providing Akida's on-chip learning and ultra-low power Edge AI capabilities as an integrated technology in MegaChips' ASIC solutions, we bring practical, cutting-edge capabilities to the edge that ensure power efficiency without compromising accuracy. This is an exciting collaboration from both a business and industry-propelling perspective."

About MegaChips LSI USA Corporation

MegaChips LSI USA in Campbell, California is a wholly owned subsidiary of MegaChips Corporation headquartered in Osaka, Japan. It is one of the world's leading custom ASIC providers for consumer, telecom/network, industrial and automotive applications. MegaChips has over 30 years in business and has successfully completed more than 1,500 ASIC projects. MegaChips operates as an extension of our customers' design teams, to provide a whole solution from concept-to-silicon and has recently expanded to address the growing global demand for embedded AI solutions. With a strong emphasis on cost effectiveness, delivery schedule, and product quality, MegaChips is ISO9001 certified and ensures the highest levels of intellectual property security.

Follow MegaChips LSI USA on their website, LinkedIn, Twitter, and Facebook for more information.

About BrainChip Holdings Ltd (ASX: BRN) (OTCQX: BRCHF) (ADR: BCHPY)

BrainChip is the worldwide leader in edge AI on-chip processing and learning. The company's first-to-market neuromorphic processor, Akida™, mimics the human brain to analyze only essential sensor inputs at the point of acquisition, processing data with unparalleled efficiency, precision, and economy of energy. Keeping machine learning local to the chip, without the need to access the cloud, dramatically reduces latency while improving privacy and data security. In enabling effective edge compute to be universally deployable across real-world applications, such as connected cars, consumer electronics and industrial IoT, BrainChip is proving that on-chip AI close to the sensor is the future for customers' products as well as the planet. Explore the benefits of Essential AI at www.brainchip.com.

Follow BrainChip on Twitter: https://www.twitter.com/BrainChip_inc

Follow BrainChip on LinkedIn: https://www.linkedin.com/company/7792006

All registered or unregistered trademarks are the sole property of their respective owners.

MegaChips Media Contact
Lauren Chouinard
FortyThree, Inc.
lauren@43pr.com
831.621.5661

"Formally announced"
This partnership is not on the Brainchip Website under PARTNERS in any of the three categories.
Technology
Enablement
Channel.

 

[thelittleshort]

BrainChip IP going to the US with MegaChips!



“MegaChips, which recently announced its emergence into the U.S. custom ASIC market, will now leverage BrainChip Akida™ IP to provide U.S. customers with innovative applications across a wide variety of applications, such as consumer tech, telecom/network, industrial and automotive.”

BrainChip on LinkedIn: MegaChips Forms Strategic Partnership with BrainChip - Partnership…

MegaChips Forms Strategic Partnership with BrainChip - Partnership Provides Ultra-Low Power and High-Performance Edge AI Solutions for ASIC Customers…

www.linkedin.com

 

[Rise from the ashes]

'Imagine a pedestrian sprinting across the middle of a street at night, unaware of an incoming vehicle approaching from 50m away. A Lidar sensor, mounted on a lamp post, detects the pedestrian and immediately sends an alert to the driver and activates roadside signage with ‘Pedestrian Detected’ warning. Or imagine a bicyclist turning right at an intersection just as an autonomous shuttle approaches the same corner. A Lidar sensor, mounted on a traffic signal, detects the bicyclist and sends an alert to the autonomous shuttle that slows down immediately to avoid a collision.

Lidar: eyes wide open

Lidar is on the cusp of becoming an indispensable part of transportation infrastructure worldwide. Itai Dadon of Ouster takes a high-level overview of the technology and its applications in ITS

www.itsinternational.com

 

[Easytiger]

Nissan previews ‘ground truth perception’ ADAS capabilities​

By LAWRENCE BUTCHER April 25, 2022No Comments
+

Nissan has released details of its latest driver-assistance technology, which it says uses highly accurate, real-time information about a vehicle’s surrounding environment to dramatically enhance collision avoidance.
The ground truth perception technology, currently in development, fuses information from next-generation high-performance lidar, radar and cameras. The technology can detect the shape and distance of objects, as well as the structure of the area surrounding the vehicle, in real time with a high degree of accuracy.
Using this information, Nissan says it is possible for the vehicle to instantly analyze the current situation, judge and automatically perform required collision-avoidance operations. This technology can also detect slowed traffic and road obstacles in the distance and execute lane changes accordingly. Importantly, the technology can also provide increased support to drivers in areas where detailed map information is not available.
Takao Asami, senior vice president, leading global research and development, commented, “Nissan has been the first to market a number of advanced driver assistance technologies. When we look at the future of autonomous driving, we believe that it is of utmost importance for owners to feel highly confident in the safety of their vehicle. We are confident that our in-development ground truth perception technology will make a significant contribution to owner confidence, reduced traffic accidents and autonomous driving in the future.”
Nissan has partnered with a number of companies to research and develop the technology and share know-how; for example, the next-generation lidar is being integrated in collaboration with Luminar. In the area of advanced collision avoidance control it is critical to develop highly accurate verification technology in a digital environment. To this end, Nissan is teaming up with Applied Intuition.
In this video, Nissan experts explain the company’s latest developments in driver-assistance technology:

 

[stockduck]

Just for information...I`m thinking today about smart grids for renevable energy systems and my research maybe made a connection between:

Prof. Lazaros Iliadis

Brainchip licenses Greek cybersecurity technology

Brainchip, the Australian neural chip specialist, has licensed the cybersecurity technology of the Democritus University of Thrace, Greece. The agreement

www.electronicsweekly.com

and this one

AI in Energy, Buildings and Micro-Grids Workshop

Sustainable energy is hands down one of the biggest challenges of our times. As the EU sets its focus to reach its 2030 and 2050 goals, the role of artificial intelligence in the energy domain at…

ifipaiai.org

...there maybe some connections?

 

[JK200SX]

BrainChip IP going to the US with MegaChips!



“MegaChips, which recently announced its emergence into the U.S. custom ASIC market, will now leverage BrainChip Akida™ IP to provide U.S. customers with innovative applications across a wide variety of applications, such as consumer tech, telecom/network, industrial and automotive.”

BrainChip on LinkedIn: MegaChips Forms Strategic Partnership with BrainChip - Partnership…

MegaChips Forms Strategic Partnership with BrainChip - Partnership Provides Ultra-Low Power and High-Performance Edge AI Solutions for ASIC Customers…

www.linkedin.com

Thats great, but will be better when the "leverage" actually turns to sales and cash!

 

[Kachoo]

Thats great, but will be better when the "leverage" actually turns to sales and cash!

I do think that this stands to be one of our first direct forms of revenue to come.

Product is ready for the consumer with cash in hand let's hope. But yes I'd really like to see the revenue start to accumulate. Like a child waiting for Santa to arrive.

 

[Build-it]

Great post Tech.

I would like to elaborate on the time taken to bring a product to market though. Whilst I completely agree with your timeframe, I would like to point out that the timeframe could have commenced in 2020. The EAP saw a couple of dozen or so ”Tier 1” companies pay $50k or whatever it was to work Brainchip to effectively test Akida in their applications. Now as subjective as it is, I don’t think it’s unreasonable to assume that some of this testing would have occurred in real world products, Mercedes being a good example. If this were the case, I think theres potential for these companies to be further along in their journey to the commercialisation of these products that if they were to commence R&D say tomorrow. Obviously they will wait until the last possible moment to sign with Brainchip, as this will defer payment longer. The EAP has given these companies a fantastic opportunity to implement Akida, test, and prep for market, without having to provide further progress payments along the way. I think it’s possible that Akida could hit the shelves in some form sooner than later.

AIMO

The messaging from BRN has been that we are expecting explosive growth at the back end of 22 and watch the quarterly statements to confirm.

This would play into your opinion and supported by most I would of thought.

The research that people on this forum have put in has shined a light imo on our potential and known partners just waiting in the background before it explodes. Look no further than FF list and the iceberg to get a sense of that.

We also know the company has transformed recently and has a clear go to market strategy that requires NDA that protect both parties which can be frustrating when we are so eager for our research to be confirmed but that's the business, no leaks by brn but happy for our clients to take the glory.

As has been mentioned we need to be their at the start of new production cycles and that takes time before it can hit the market as we have seen with Mercedes.

Edge Compute.

 

[Tuliptrader]

I have been invested in this company for a long time now. I believe in the technology and it's potential to truly disrupt our generation and generations to come. I also believe that our offer could truly become the "gold standard" in neuromorphic computing.

It seems not that long ago that our dots and clues consisted of a faint aroma as you enter a room, a partially formed impression in wet sand or a tiny bone fragment buried deep in the soil.

Fast forward to today, and we now have the equivalent of a police identikit, security cam footage of of a person who just happens to be looking away so you just can't make out their face and enough DNA evidence to run a season of NCIS.

Our collective belief in this little company appears to be barreling along to its fruition. It's exciting and a little scary so hang on tight.

A sincere good luck to all holders.

Note to self, stop eating so much cheese before bed.

 

[Deleted member 118]

How Qualcomm Technologies is unlocking the power of machine learning [video]

Meet the researchers bringing AI to the connected intelligent edge.

www.qualcomm.com

How Qualcomm Technologies is unlocking the power of machine learning [video]​

Meet the researchers bringing AI to the connected intelligent edge.
APR 5, 2022
Qualcomm products mentioned within this post are offered by Qualcomm Technologies, Inc. and/or its subsidiaries.

Since its founding in 2018, Qualcomm AI Research has developed into a vital resource for the industry, impacting virtually every technology vertical, from wireless to automotive, XR, IoT (Internet of Things), and mobile. Our ever-growing team is based in San Diego, Amsterdam, Seoul, and Markham. I’ve had the pleasure to lead this initiative from the beginning. Even though the scope of our work has scaled, our culture has remained guided by purposeful innovation, passionate execution, and openness. These values ring true across the company.

Purposeful innovation​

Our researchers are working on a wide range of topics, spanning from visionary fundamental research to applied research that solves specific challenges in the market today. Virtually every technology can be optimized with machine learning, which is why we are helping to make AI ubiquitous.

Click to see a larger image.

With the breadth of topics that our team is working on, it’s important to take a system approach to full-stack AI optimization and leverage the expertise in power efficiency Qualcomm Technologies has built over the years. We’ve asked the researchers what they are most excited to be working on and how they see the future of their work. This is how they replied:

Passionate execution​

AI research does not happen in silos but is the result of work being done across teams. Finding the right balance of skills and personalities to produce innovation is key. By bringing together hardware and software experts, researchers, and engineers, the work can enable commercialization at scale. Our team has access to the latest in scientific developments and hardware to work on. The open-door policy means that employees can reach out to each other openly across seniority levels and departments, allowing ideas to be exchanged smoothly. Crucially, researchers are given autonomy around the areas of research they are pursuing. Here’s what our team has to say about successful collaborations in AI research:

Openness​

We publish papers every year at top scientific conferences such as NeurIPS, ICLR, ICML, and CVPR. Our team has also published the code for some of their innovative published papers, so that other researchers can replicate the results and build on top of it. This past year Qualcomm AI Research has grown in expertise with the acquisition of TwentyBN and Reservoir Labs. We are proud to be able to relaunch the TwentyBN computer vision datasets Jester and Something Something under the Qualcomm Developer Network umbrella. The contribution to the machine learning community does not end there. This past year we have also been hard at work on releasing new and improved versions of the AI Model Efficiency Toolkit (AIMET) and recently released an AIMET whitepaperdescribing the quantization techniques that developers can use to successfully implement on-device AI. The work of developers and researchers is also made easier with the AIMET Model Zoo, a collection of pre-trained models and recipes for quantizing 32-bit floating point models to 8-bit integers with little loss in accuracy. Here is what our team has to say about how they see their contribution to the wider AI community:

The benefits of on-device AI​

At Qualcomm AI Research, we are inventing, developing, and enabling the commercialization of power-efficient AI. These technologies are becoming increasingly accessible thanks to Qualcomm Technologies, enabling on-device AI with enhanced privacy, lower latency, and lower cost. Having compact neural network models and efficient silicon means technology can take on more tasks successfully from humans, so that they can focus on the things that matter to them. Our AI research team is central in making this possible. And we are hiring:

• Qualcomm AI Research open positions
• All Machine Learning open positions

https://assets.qualcomm.com/mobile-computing-newsletter-sign-up.html

 

[Deleted member 118]

 

[Slymeat]

"Formally announced"
This partnership is not on the Brainchip Website under PARTNERS in any of the three categories.
Technology
Enablement
Channel.

Brainchip have tweeted it, and it is on the Megachips website. It will be nice to see this on the BrainChips‘ partners page, but this formalisation of the announcement is great as a start. Hasn’t moved the shareprice overseas though!?

Products | MegaChips Corporation

We provide strategic solutions to solve your problems that range from ASIC to ASSP and module products leveraging our analog and digital technology.

megachips.com

 

[Slymeat]

And on the MegaChips news and events page

News Releases | MegaChips Corporation

Please check MegaChips latest information and new releases.

megachips.com

 

[Techinvestor17]

Brainchip have tweeted it, and it is on the Megachips website. It will be nice to see this on the BrainChips‘ partners page, but this formalisation of the announcement is great as a start. Hasn’t moved the shareprice overseas though!?

Products | MegaChips Corporation

We provide strategic solutions to solve your problems that range from ASIC to ASSP and module products leveraging our analog and digital technology.

megachips.com

Was already known, not surprising it hasn’t effected the share price.