BRN Discussion Ongoing

[Humble Genius]

Unfortunately I wont be able to make it to the AGM, and perhaps someone can ask a multi question regarding NDA's:

a, How many active NDA's does BRN have currently in place? The answer should be requested as a specific number, or a number range, An answer like "Northward of 100 NDA's" is not good enough. Senior members at BRN should know the number, give or take 1 or 2.

b. Of the current active NDA's, what percentage have been signed since this time last year?

c. How many of the NDA's from this time last year are not current or being pursued any more?

I think the answers to these questions would give us some further insight on the level of work going on behind the scenes, and I don't think there should be any issues with the company withholding this information from us.

 

[Tothemoon24]

Dare to dream Brainchip Australia future Blue Chip Stock

Markus Schäfer on LinkedIn: #visioneqxx #mercedesbenz #leadinelectric #futureofmobility | 35 comments

Would you like to go for a drive in the moonlight? The Moon Guidance feature in our VISION EQXX is a cool and intuitive visualisation that helps drivers… | 35 comments on LinkedIn

www.linkedin.com

 

[Deadpool]

View attachment 36812

Interesting @MrNick
I normally take Robs "likes" with a grain of salt as there's quite a few, (no offence Rob) but this one I find intriguing, seeing this "like" is Hino trucks at the Brisbane Truck show.
I was pondering, I know Renesas and Toyota have history and Hino is an arm of Toyota but
Directed Technology's is a Tier 1 supplier of connected technology solutions for automotive, enterprise and government organizations and their customers include

I'm surmising and hoping that Directed Technology's is an aussie customer of BRN through Megachips.

Directed Technologies

directedtechnologies.com.au

We've got that many dots happening at the moment, its not funny.
Go BRN

 

[Sirod69]

Yes yes, I see, I can celebrate alone again, as always, my course is also nice and green

 

[Wags]

I guess it is getting hard not to know what is going on even if it is not on the ASX. Obviously we will ignore the odd one out in the following
View attachment 36776

Thats GOLD

 

[Sirod69]

Hi Frederick,

IMEC are from Zurich and Zurich leans strongly to analog NNs. I haven't found any patents from IMEC which indicate they have a finger in the digital SNN pie, but there is an 18 month blackout on patent applications.

Analog has many theoretical charms, but the reality is, as you intimate, fraught. IC manufacturing, while incredibly precise on a macro-scale, has a lot of dimensional variability on the nano scale, resulting in significant component variability in nano-dimensioned devices such as capacitors and memristors, which causes inconsistency in operations such as adding electric currents. Basically, IC manufacture relies on chemical etching to create patterns on silicon, and this can be affected by such things as the crystal orientation structure of the silicon and doped layers.

IMEC about their paper, perhaps than we will know more about them?

Our paper on opening the black box of a digital neuromorphic processor and helping algorithm designers benchmark/optimize neuromorphic algorithms will be presented at ISCAS 2023 next week!

The work's motivation is to relieve algorithm designers' pain when designing neuromorphic algorithms targeting low-power and low-latency requirements. To do so, we proposed a 3-level benchmarking strategy based on our SENECA neuromorphic processor. By unlocking the black box of the hardware and abstracting the key neural processing operations, this approach can give insights to algorithm designers who don't have sufficient hardware backgrounds.

My colleague Manolis Sifalakis will present this paper on May 23 at ISCAS. Join us in person at #ISCAS 2023 to learn more!

Link to the preprint version of the paper: https://lnkd.in/e-3uRxuA

 

[Fullmoonfever]

Interesting @MrNick
I normally take Robs "likes" with a grain of salt as there's quite a few, (no offence Rob) but this one I find intriguing, seeing this "like" is Hino trucks at the Brisbane Truck show.
I was pondering, I know Renesas and Toyota have history and Hino is an arm of Toyota but
Direct Technology's is a Tier 1 supplier of connected technology solutions for automotive, enterprise and government organizations and their customers include

I'm surmising and hoping that Direct Technology's is an aussie customer of BRN through Megachips.

Directed Technologies

directedtechnologies.com.au

We've got that many dots happening at the moment, its not funny.
Go BRN

Did someone mentions DOTs again

 

[Fullmoonfever]

Teksun also apparently own Tekt.

Wonder if there will be any overlap into some of the Tekt products in time.

About - Gotekt

gotekt.com

About Tekt​

Forefront of
Innovation​

Welcome to the world of Tekt. Discover the huge range of smart and connected devices that meet the requirements of our routine life. From bone conduction headphones to window cleaning robots.

The sweat-proof, lightweight and comfortable, Tekt product gives durability
and functionality and looks chic to suit the requirements of your lifestyle.


Since 2010, we are enabling the digital transformation journey for smart and connected devices. Copyright(ed) Innovative products based on mobile and intelligent sensor technologies that assist us to connect and control anything anywhere.

These unique products can work with a broad range of protocols and are climate-proof. We at Tekt include the full scope of next-generation products.

 

[Learning]

This is too advanced for my understanding. If our more knowledgeable members can look to see anything worth considering!

Google Research released a blog regarding Vision Transformer today.

Sparse video tubes for joint video and image vision transformers

Posted by AJ Piergiovanni and Anelia Angelova, Research Scientists, Google Video understanding is a challenging problem that requires reasoning abo...

ai.googleblog.com

This diagram looks interesting;

It's look similar to Brainchip;

Vision Transformers (ViTs) - Their Popularity And Unique Architecture

Learn how this powerful fusion empowers AI applications with unprecedented performance and efficiency, taking innovation to the next level.

brainchip.com

Learning 🏖

 

[BrnPos2022]

Teksun also apparently own Tekt.

Wonder if there will be any overlap into some of the Tekt products in time.

About - Gotekt

gotekt.com

About Tekt​

Forefront of​

Innovation​

Welcome to the world of Tekt. Discover the huge range of smart and connected devices that meet the requirements of our routine life. From bone conduction headphones to window cleaning robots.

The sweat-proof, lightweight and comfortable, Tekt product gives durability
and functionality and looks chic to suit the requirements of your lifestyle.


Since 2010, we are enabling the digital transformation journey for smart and connected devices. Copyright(ed) Innovative products based on mobile and intelligent sensor technologies that assist us to connect and control anything anywhere.

These unique products can work with a broad range of protocols and are climate-proof. We at Tekt include the full scope of next-generation products.

View attachment 36823

 

[Sirod69]

a well-known German site

Quantum Ventura
BrainChip is designed to help detect cyber threats
May 19, 2023 9:27 am | Iris Straw

BrainChip announced that AI/ML research and technologies specialist Quantum Ventura will use BrainChip's Akida technology to develop new cyber threat detection tools.

https://www.elektroniknet.de/halbleiter/brainchip-soll-bei-der-erkennung-von-cyber-threats-helfen.204901.html

 

[Bravo]

IMEC about their paper, perhaps than we will know more about them?

Our paper on opening the black box of a digital neuromorphic processor and helping algorithm designers benchmark/optimize neuromorphic algorithms will be presented at ISCAS 2023 next week!

The work's motivation is to relieve algorithm designers' pain when designing neuromorphic algorithms targeting low-power and low-latency requirements. To do so, we proposed a 3-level benchmarking strategy based on our SENECA neuromorphic processor. By unlocking the black box of the hardware and abstracting the key neural processing operations, this approach can give insights to algorithm designers who don't have sufficient hardware backgrounds.

My colleague Manolis Sifalakis will present this paper on May 23 at ISCAS. Join us in person at #ISCAS 2023 to learn more!

Link to the preprint version of the paper: https://lnkd.in/e-3uRxuA
View attachment 36821

Hi @Sirod69,

Looks interesting. Worth keeping tabs on IMO. Thanks for sharing!

 

[Bravo]

Hi Dodgy Knees, my superhero is Russell Coight.

Who's yours? Don't tell me. Is it Shrek?

View attachment 36818


PS: I'm a bit surprised Rob liked my dancing. I thought I was still in the bad books for my comments about the wrinkly table-cloth circa 2022. Post the times when the tablecloth completely disappeared off the map.

Primarily because Russell's such an amazing dancer. He's so low-key about his gift. It's super-heroic IMO and something I really admire about him and aspire to be like when I grow up.

 

[Bravo]

Here's the longer & arguably better version.

 

[Humble Genius]

Unveiling AI Innovations: Teksun at Embedded Vision Summit

Live at the Embedded Vision Summit Discover the Next Frontier of AI: Teksun Live at the Embedded Vision Summit, Unveiling the Latest Innovations MILPITAS, CA, UNITED STATES, May 19, 2023/EINPresswire.com/ -- Today, Teksun Inc., a leading provider of AI and ML solutions, is ready to unveil an...

www.ksn.com

Unveiling AI Innovations: Teksun at Embedded Vision Summit​

​

NEWS PROVIDED BY
EIN Presswire
May 19, 2023, 8:32 AM ET

Live at the Embedded Vision Summit
Discover the Next Frontier of AI: Teksun Live at the Embedded Vision Summit, Unveiling the Latest Innovations
MILPITAS, CA, UNITED STATES, May 19, 2023/EINPresswire.com/ -- Today, Teksun Inc., a leading provider of AI and ML solutions, is ready to unveil an advanced prototype in collaboration with BrainChip at Booth No. #517, during the highly anticipated Embedded Vision Summit. Prepare to be captivated as we showcase an array of cutting-edge, Ready-to-Use AI Algorithms that will leave you in awe. Brace yourself for the unveiling of our solutions:
Teksun Telep Intrusion Detection
Teksun Telep Car Occupancy Detection
Teksun Telep Driver Monitoring
Join us from May 22-24 at the Santa Clara Convention Center for this remarkable event!
BrainChip is a global leader in on-chip processing and learning for edge AI. Its groundbreaking neuromorphic processor, AkidaTM, mimics the human brain to analyze crucial sensor inputs at the point of acquisition, providing unparalleled efficiency, precision, and energy economy. By keeping machine learning local to the chip and avoiding cloud access, latency is significantly reduced while improving privacy and data security. BrainChip's on-chip AI brings effective edge computing to connected cars, consumer electronics, and industrial IoT applications. The company believes that on-chip AI close to the sensor is the future of products and our planet.
Brijesh Kamani, Founder & CEO at Teksun Group, expressed excitement about partnering with BrainChip and extended congratulations for their groundbreaking Neuromorphic architecture. Through their collaboration, they have successfully delivered advanced, energy-efficient solutions that are both innovative and user-friendly for their customers. The upcoming Embedded Vision Summit presents an ideal platform to showcase the remarkable progress achieved by BrainChip and Teksun. They will demonstrate how their joint efforts are set to revolutionize the AI and ML markets.
Expressing his enthusiasm for the rapid progress made with Teksun, Rob Telson, Vice President of Ecosystems and Partnerships at BrainChip, also expressed his anticipation for supporting Teksun's future customers. He highlighted the adoption of BrainChip's Akida as a crucial distinguishing factor for Teksun's edge AI product offerings. The upcoming Embedded Vision Summit presents an exceptional opportunity to showcase how their collaborative endeavors will drive notable advancements in the AI and ML markets.

 

[Sirod69]

We are not named (if then under Tier1)
But, i found it quite interesting.

Arm in Automotive, SOAFEE and SDV​

In Episode 2 of The Garage, join us for a conversation between host Dr. John Heinlein, Chief Marketing Officer from Sonatus and Robert Day, Director, North America Automotive GTM for Arm. This wide ranging topic covers the whole spectrum of how Arm is working to enable automotive innovation and the many ways Sonatus is participating in this ecosystem. We cover hardware, silicon suppliers, necessary elements to achieve SDV, standards, and software trends.

Timestamps:
1:08: Arm’s role in automotive
2:43: Arm-based automotive silicon suppliers
3:43: The shift to software-defined vehicles and four pillars to achieving SDV
5:05: Pillar 1 for SDV: Use of standards
5:37: Pillar 2 for SDV: Use of new software methodologies and technologies
6:12: Pillar 3 for SDV: Vehicle simulation and development in the cloud
6:41: Pillar 4 for SDV: Collaboration
7:28: SOAFEE: Scalable Open Architecture For the Embedded Edge
9:02: Cloud-native design for automotive
10:58: Future trends in automotive hardware and software architecture
12:09: ECU and workload consolidation
13:04: Summary

 

[Tothemoon24]

 

[Sirod69]

We've written about Nota AI before. The Seoul-based start-up has developed an AI solution for safe crossing. That alone is worth mentioning.

Nota AI highlights how technology can reduce Vulnerable Road User risk

The South Korean traffic solutions company Nota AI, which specialises in using Artificial Intelligence to better manage road safety, will explain to delegates at the ITS European Congress in Lisbon next week how technology can be used to reduce vulnerable road user related accident risks.

Nota AI highlights how technology can reduce Vulnerable Road User risk - Highways News

The South Korean traffic solutions company Nota AI, which specialises in using Artificial Intelligence to better manage road safety, will explain to delegates at the ITS European Congress in Lisbon next week how technology can be used to reduce vulnerable road user related accident risks. The...

highways-news.com

 

[Deleted member 118]

It was only a matter of time before more information became available from nasa

MENTAT | SBIR.gov

www.sbir.gov

Deep Neural Networks (DNN) have become a critical component of tactical applications, assisting the warfighter in interpreting and making decisions from vast and disparate sources of data. Whether image, signal or text data, remotely sensed or scraped from the web, cooperatively collected or intercepted, DNNs are the go-to tool for rapid processing of this information to extract relevant features and enable the automated execution of downstream applications. Deployment of DNNs in data centers, ground stations and other locations with extensive power infrastructure has become commonplace but at the edge, where the tactical user operates, is very difficult. Secure, reliable, high bandwidth communications are a constrained resource for tactical applications which limits the ability to routed data collected at the edge back to a centralized processing location. Data must therefore be processed in real-time at the point of ingest which has its own challenges as almost all DNNs are developed to run on power hungry GPUs at wattages exceeding the practical capacity of solar power sources typically available at the edge. So what then is the future of advanced AI for the tactical end user where power and communications are in limited supply. Neuromorphic processors may provide the answer. Blue Ridge Envisioneering, Inc. (BRE) proposes the development of a systematic and methodical approach to deploying Deep Neural Network (DNN) architectures on neuromorphic hardware and evaluating their performance relative to a traditional GPU-based deployment. BRE will develop and document a process for benchmarking a DNN’ s performance on a standard GPU, converting it to run on commercially available neuromorphic hardware, training and evaluating model accuracy for a range of available bit quantizations, characterizing the trade between power consumption and the various bit quantizations, and characterizing the trade between throughput/latency and the various bit quantizations. This process will be demonstrated on a Deep Convolutional Neural Network trained to classify Electronic Warfare (EW) emitters in data collected by AFRL in 2011. The BrainChip Akida Event Domain Neural Processor development environment will be utilized for demonstration as it provides a simulated execution environment for running converted models under the discrete, low quantization constraints of neuromorphic hardware. In the option effort we pursue direct Spiking Neural Network (SNN) implementation and compare performance on the Akida hardware, and potentially other vendor’s hardware as well. We demonstrate the capability operating on real hardware in a relevant environment by conducting a data collection and demonstration activity at a U.S. test range with relevant EW emitters.