BRN Discussion Ongoing
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Vladsblood
Regular
Aged in Silicon Valley’s finest Akida casing too lolMorning Chippers ,
US market had a good run last night.
Tasting notes.
I'm getting notes of truffles , dash of lobster , sprinkling of wagyu with lingering afternotes of fruity conyac on my palate rounding out with the crisp smell of $.
Should , in theory , be a POSITIVE DAY .
.
Regards,
Esq.
Vlad
Frangipani
Regular
I recently shared my findings and thoughts on a Toulouse-based start-up called Neurobus (“We’re going to build a strong European company that brings neuromorphic solutions to satellites and space!”).
neurobus.space
Another interesting company in the space business to keep an eye on is Think Orbital (https://thinkorbital.com/), selected by NASA six months ago to partner on their Space Capabilities-2 initiative alongside six other US companies, including Space X, Blue Origin and Northrop Grumman (https://www.nasa.gov/news-release/s...rate-with-nasa-to-advance-space-capabilities/).
Neurobus Pioneering Space, One Neuron at a Time
As pioneers and trusted partners in the field of neuromorphic technology for space and edge computing applications, Neurobus offers cutting-edge, low-power, high-performance solutions inspired by the brain's architecture. We're committed to advance these sectors by enhancing data processing...
Another interesting company in the space business to keep an eye on is Think Orbital (https://thinkorbital.com/), selected by NASA six months ago to partner on their Space Capabilities-2 initiative alongside six other US companies, including Space X, Blue Origin and Northrop Grumman (https://www.nasa.gov/news-release/s...rate-with-nasa-to-advance-space-capabilities/).
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Bravo
If ARM was an arm, BRN would be its biceps💪!
Very interesting sargeant Shultz @IloveLamp !
Back in November 2022 Innoviz and Outsight announced a partnership to accelerate LiDAR adoption in smart cities and and industrial applications. The partnership they said will "combine Innoviz's high-performance LiDAR, InnovizOne, with Outsight's processing software solution, allowing seamless integration of 3D localization and perception technology for smart infrastructure, vehicle and industrial applications".
Outsight and Innoviz are both founding members of the LiDAR Coalition, of which Valeo is also a member.
I discovered that one year ago Raul Bravo ( President and Co-Founder of Outsight and no relative of mine sadly
) congratulated Clement Nouvel (Ceo of Valeo on the announcement that Stellantis had chosen Valeo's Scala 3 LiDAR to equip multiple models of their automotive brands from 2024.This would suggest they are all quite friendly at the very least and maybe there's a lot more collaboration going on behind doors that we're unaware of at this stage
Clément Nouvel on LinkedIn: Valeo's third generation LiDAR chosen by Stellantis for its level 3… | 13 comments
Stellantis has chosen our third-generation LiDAR to equip multiple models of its various automotive brands from 2024. Valeo's next generation SCALA LiDAR paves… | 13 comments on LinkedIn
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SERA2g
Founding Member
Hey mate. If you're keen to perch up at a bar somewhere in Perth and work through what's happening at Brainchip I'm happy to lend an ear and my thoughts. It might help you to pull the trigger and sell or to have some extra confidence in holding, I don't know, but I find sometimes talking through things can help with clarity and hopefully that'll give you some comfort with your decision, one way or the other.
I'm sure @BlueAnt will be keen to join
Wow, amazing the same old games going on in here! Traders and private investors trying to manipulate the "thought" patterns here for self benefit etc.
Funny how not ONE mentions BRN UP last night - 12% on USA markets - and up 10% on EURO markets.
-------------------------------------------
Want to change how BRN gets NO......... ASX news posted? Change the management to AUSTRALIANS.
Y.
Funny how not ONE mentions BRN UP last night - 12% on USA markets - and up 10% on EURO markets.
-------------------------------------------
Want to change how BRN gets NO......... ASX news posted? Change the management to AUSTRALIANS.
Y.
SERA2g
Founding Member
Hi Esq!Morning Chippers ,
US market had a good run last night.
Tasting notes.
I'm getting notes of truffles , dash of lobster , sprinkling of wagyu with lingering afternotes of fruity conyac on my palate rounding out with the crisp smell of $.
Should , in theory , be a POSITIVE DAY .
Regards,
Esq.
I am always impressed by your hand drawn charts and now this calendar.
But..... Have you heard of excel?
Keep up the good work mate.
Bravo
If ARM was an arm, BRN would be its biceps💪!
So InnovizTwo LiDAR shows up on Arm's Automotive Partner page.Very interesting sargeant Shultz @IloveLamp !
Back in November 2022 Innoviz and Outsight announced a partnership to accelerate LiDAR adoption in smart cities and and industrial applications. The partnership they said will "combine Innoviz's high-performance LiDAR, InnovizOne, with Outsight's processing software solution, allowing seamless integration of 3D localization and perception technology for smart infrastructure, vehicle and industrial applications".
Outsight and Innoviz are both founding members of the LiDAR Coalition, of which Valeo is also a member.
I discovered that one year ago Raul Bravo ( President and Co-Founder of Outsight and no relative of mine sadly
This would suggest they are all quite friendly at the very least and maybe there's a lot more collaboration going on behind doors that we're unaware of at this stage
View attachment 49501
View attachment 49502
Clément Nouvel on LinkedIn: Valeo's third generation LiDAR chosen by Stellantis for its level 3… | 13 comments
Stellantis has chosen our third-generation LiDAR to equip multiple models of its various automotive brands from 2024. Valeo's next generation SCALA LiDAR paves… | 13 comments on LinkedInwww.linkedin.com
It looks like their previous LiDAR called InnovizOne used Arms Cortex-A57.
Remember what experience NVISO had comparing AKIDA with an Arm Cortex A57.
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Fullmoonfever
Top 20
Mate, I'm just waiting for when you go cuneiformAfternoon SERA2g ,
Keep it old school I say.
My new wrighting instrument combines old with the new.
.
Regards,
Esq.
SharesForBrekky
Regular
I'm thinking the more advanced Akida becomes, the more ancient Esq becomes with his writing implements, haha.
I think what Esq has just shown us here is his generation 2.0 of his writing tools. Maybe Esq is now working on generation 3.0 ie. hieroglyphics. Looking forward to it Esq!
Was also expecting a good run today, but alas here we areMorning Chippers ,
US market had a good run last night.
Tasting notes.
I'm getting notes of truffles , dash of lobster , sprinkling of wagyu with lingering afternotes of fruity conyac on my palate rounding out with the crisp smell of $.
Should , in theory , be a POSITIVE DAY .
Regards,
Esq.
Surely this was cooked up at the Mad Hatter's hubble-bubble party.
Smart Image Recognition Sensor with Ultralow System Latency and Power Consumption
Agency:
Department of Defense
Branch:
Navy
Program | Phase | Year:
STTR | BOTH | 2022
Solicitation:
DoD STTR 22.A
Topic Number:
N22A-T008
NOTE: The Solicitations and topics listed on this site are copies from the various SBIR agency solicitations and are not necessarily the latest and most up-to-date. For this reason, you should use the agency link listed below which will take you directly to the appropriate agency server where you can read the official version of this solicitation and download the appropriate forms and rules.
The official link for this solicitation is: https://rt.cto.mil/rtl-small-business-resources/sbir-sttr
Release Date:
December 01, 2021
Open Date:
January 12, 2022
Application Due Date:
February 10, 2022
Close Date:
February 10, 2022
Description:
OUSD (R&E) MODERNIZATION PRIORITY: General Warfighting Requirements (GWR);Microelectronics;Quantum Science
TECHNOLOGY AREA(S): Electronics
OBJECTIVE: Develop a novel smart visual image recognition system that has intrinsic ultralow power consumption and system latency, and physics-based security and privacy.
DESCRIPTION: Image-based recognition in general requires a complicated technology stack, including lenses to form images, optical sensors for opto-to-electrical conversion, and computer chips to implement the necessary digital computation process. This process is serial in nature, and hence, is slow and burdened by high-power consumption. It can take as long as milliseconds, and require milliwatts of power supply, to process and recognize an image. The image that is digitized in a digital domain is also vulnerable to cyber-attacks, putting the users’ security and privacy at risk. Furthermore, as the information content of images needs to be surveilled and reconnoitered, and continues to be more complex over time, the system will soon face great challenges in system bottleneck regarding energy efficiency, system latency, and security, as the existing digital technologies are based on digital computing, because of the required sequential analog-to-digital processing, analog sensing, and digital computing.
It is the focus of this STTR topic to explore a much more promising solution to mitigate the legacy digital image recognition latency and power consumption issues via processing visual data in the optical domain at the edge. This proposed technology shifts the paradigm of conventional digital image processing by using analog instead of digital computing, and thus can merge the analog sensing and computing into a single physical hardware. In this methodology, the original images do not need to be digitized into digital domain as an intermediate pre-processing step. Instead, incident light is directly processed by a physical medium. An example is image recognition [Ref 1], and signal processing [Ref 2], using physics of wave dynamics. For example, the smart image sensors [Ref 1] have judiciously designed internal structures made of air bubbles. These bubbles scatter the incident light to perform the deep-learning-based neuromorphic computing. Without any digital processing, this passive sensor can guide the optical field to different locations depending on the identity of the object. The visual information of the scene is never converted to a digitized image, and yet the object can be identified in this unique computation process. These novel image sensors are extremely energy efficient (a fraction of a micro Watt) because the computing is performed passively without active use of energy. Combined with photovoltaic cells, in theory, it can compute without any energy consumption, and a small amount of energy will be expended upon successful image recognition and an electronic signal needs to be delivered to the optical and digital domain interface. It is also extremely fast, and has extremely low latency, because the computing is done in the optical domain. The latency is determined by the propagation time of light in the device, which is on the order of no more than hundreds of nanoseconds. Therefore, its performance metrics in terms of energy consumption and latency are projected to exceed those of conventional digital image processing and recognition by up to at least six orders of magnitude (i.e., 100,000 times improvement). Furthermore, it has the embedded intrinsic physics-based security and privacy because the coherent properties of light are exploited for image recognition. When these standalone devices are connected to system networks, cyber hackers cannot gain access to original images because such images have never been created in the digital domain in the entire computation process. Hence, this low-energy, low-latency image sensor system is well suited for the application of 24/7 persistent target recognition surveillance system for any intended targets.
In summary, these novel image recognition sensors, which use the nature of wave physics to perform passive computing that exploits the coherent properties of light, is a game changer for image recognition in the future. They could improve target recognition and identification in degraded vision environment accompanied by heavy rain, smoke, and fog. This smart image recognition sensor, coupled with analog computing capability, is an unparalleled alternative solution to traditional imaging sensor and digital computing systems, when ultralow power dissipation and system latency, and higher system security and reliability provided by analog domain, are the most critical key performance metrics of the system.
PHASE I: Develop, design, and demonstrate the feasibility of an image recognition device based on a structured optical medium. Proof of concept demonstration should reach over 90% accuracy for arbitrary monochrome images under both coherent and incoherent illumination. The computing time should be less than 10 µs. The throughput of the computing is over 100,000 pictures per second. The projected energy consumption is less than 1 mW. The Phase I effort will include prototype plans to be developed under Phase II.
PHASE II: Design image recognition devices for general images, including color images in the visible or multiband images in the near-infrared (near-IR). The accuracy should reach 90% for objects in ImageNet. The throughput reaches over 10 million pictures per second with computation time of 100 ns and with an energy consumption less than 0.1 mW. Experimentally demonstrate working prototype of devices to recognize barcodes, handwritten digits, and other general symbolic characters. The device size should be no larger than the current digital camera-based imaging system.
PHASE III DUAL USE APPLICATIONS: Fabricate, test, and finalize the technology based on the design and demonstration results developed during Phase II, and transition the technology with finalized specifications for DoD applications in the areas of persistent target recognition surveillance and image recognition in the future for improved target recognition and identification in degraded vision environment accompanied by heavy rain, smoke, and fog.
The commercial sector can also benefit from this crucial, game-changing technology development in the areas of high-speed image and facial recognition. Commercialize the hardware and the deep-learning-based image recognition sensor for law enforcement, marine navigation, commercial aviation enhanced vision, medical applications, and industrial manufacturing processing.
AusEire
Founding Member. It's ok to say No to Dot Joining
robsmark
Regular
How is expressing an opinion baiting?
Ian
Founding Member
DingoBorat
Slim
What's Rob's game?
We don't even have a loose dot link with InnovizOne do we?..
"BMW Group series production unit shipments began in the third quarter of 2023 – the Company began shipping production units of its InnovizOne LiDAR sensor components to the BMW Group's first generation program coupled with the final iteration of the perception software"
Shhhhhh he is a master baiter
In a case of trespass, the defendant's barrister summed up the deference argument in one word: "Usufruct".
Quick as a flash, the complainant's barrister replied: "So are youse."
I think the safety net for holders is the value of the patent portfolio.
Talking about my ’mistakes’, how patronising. Every consider that you might have made a mistake too?
We’ve been ‘commercialised’ for 3 years now - and in that time we’ve accomplished nothing commercially.
Screenshot what you like mate, I CGIF. You think I’d be unhappy if success eventually came?! Facts are we are going backwards.
That alone is worth many multiples the current market cap.
On top of that Gen 2 is ready for market.
AI at the Edge is not long off being exponential.
So the worst case scenario IMO is a take over at many, many times today's value.
Most would be disappointed but profit is profit.
In summary I am not the least bit concerned about my investment in BRN.
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