Bravo
If ARM was an arm, BRN would be its biceps💪!
Cannabis and psychedelics as interests, huh? You are one crazy cat, Bravo, ....
Cannabis and psychedelics as interests, huh? You are one crazy cat, Bravo, ....
So why weren’t you a buy in at 3c? Why did you only buy in at much higher prices? Those that bought in at 3c took the much greater risk than you did.Yes and it would be pretty easy for those who bought at 3c to see the share price at 46c. Unlike those who bought at much higher prices.
Not sure about the lawsuits part..So you're saying he should have never used the word "never" aren't you?
What if I based my investment decision to buy and then hold the stock since the first comments from the company about AKida 1000 were made?
Or in my case I'm an existing shareholder at that point in time but I maintain my holding because I rightly rely upon what a company representative has stated in open forum!
Comments made by both Peter and Sean to the effect that "we are starting volume production of the chip" or "we expect steady and consistent sales going forward."
To then be told by the current CEO that they never intended Akdia 1000 to be a commercial product!
Wow, talk about opening up the floodgates to potential lawsuits!
Sorry you feel that way about me. Not going to attempt to change your mind as we are all entitled to our own opinion.
For clarity here is the Linkedin article i was referring to.
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I find it really interesting that Rob likes that interview @goodvibes. Take a look at Recogni's 1000 TOPS solution below.
In addition, Recogni has announced the availability of the Phoenix ADAS/AD ECU system, an open-source computing platform for autonomous applications. The Phoenix platform combines Recogni’s Scorpio AI inference processor and the Renesas R-Car V4H SoC for configurations up to 2000 TOPS, the highest TOPS per watt capacity on the market, according to Recogni.
Recogni Announces 1000 TOPS Class Solution for Autonomous Driving
NEWS PROVIDED BY
Recogni Inc.
Dec 13, 2022, 09:03 ET
Microprocessor Report Acknowledges Recogni's Superior High Performance Perception Processing at Very Low Power Consumption Over Competitors
SAN JOSE, Calif., Dec. 13, 2022 /PRNewswire/ -- Recogni, Inc., the leader in AI-based perception for autonomous vehicles, today announced Recogni Scorpio, the world's first 1000 TOPS (Peta-Op) class inference solution for autonomous mobility. The company's vision-inference chip enables superhuman object detection accuracy up to - 300m in real-time under various road and environment conditions, and the ability to process multiple streams of ultra-high resolution and very high frame rate cameras. Microprocessor Report noted that Recogni's solution "performs far better" than other inference engines in leading SoCs on the market.
Recogni Scorpio is the world’s first 1000 TOPS (Peta-Op) class inference solution for autonomous mobility
"Vision is fundamental to accurate perception processing and essential to autonomous driving platforms," said RK Anand, Founder and Chief Product Officer at Recogni. "From the beginning we took a unique approach of processing high resolution images at the edge to achieve near-perfect object detection and classification, and enable autonomous driving stacks to make better driving decisions. Scorpio can process multiple 8 megapixel streams at 30 frames per second in less than 10 milliseconds using only 25 watts. That's a performance order of magnitude greater than anything else on the market and, we believe, will help to accelerate autonomous driving to become a reality."
Currently being evaluated by several top tier automotive manufacturers and suppliers, Recogni's solution can achieve 1000 TOPS with less than 10ms of processing delay and below 25 watts of power consumption. This is not only 10-20 times more power efficient than competing solutions, but it enables the flexible design of autonomous driving vehicle stacks and minimizes the impact on driving range. In addition, with such a short processing time of less than 10ms, the Electronic Control Unit (ECU) has more-than-ample time for taking the necessary driving decisions. High compute capacity, efficient processing, low latency, and low power consumption are the pillars of Recogni's platform.
"Recogni's purpose built architecture is a unique approach to AI perception, allowing customers to perceive the environment in high resolution with very low latency and low power - this is a gamechanger for OEMs and suppliers looking to add new, powerful ADAS and self-driving features to new vehicles," said Marc Bolitho, Chief Executive Officer at Recogni. "Recogni's unique approach in perception processing is truly first of its kind and enables customers to deploy safe autonomous driving functions as well as extending the range for electric vehicles."
Industry Validation
Microprocessor Report's Bryon Moyer completed a thorough evaluation of Recogni's solution and reached the conclusion that, "As the industry moves to greater resolution, Recogni is well positioned, whereas other SoCs will need an upgrade." The report also notes that competing SoCs are likely to be that upgrade, but it's "two to three years behind Recogni's first chip."
The report details Recogni's product superiority in terms of supporting high-resolution cameras at high frame rates, support for red/clear/clear/blue (RCCB) image sensors, the approach of minimizing preprocessing before inference, compression algorithms to reduce the required on-chip memory and the product's self-managing capabilities.
Moyer recognized that "no other stand-alone automotive AI accelerator uses high-resolution cameras and processes each full frame (rather than targeting regions of interest. More common are SoCs that handle inference as one of those many functions." This is one of the biggest differentiators and advantages of the Recogni solution.
To download the full version of the Microprocessor Report, please visit www.linelygroup.com.
About Recogni
Recogni develops AI-based vision perception processing to autonomous driving platforms that achieves high compute and low latency with low power consumption. The company was founded in 2017 with offices in San Jose California and Munich Germany. Lead investors are GreatPoint Ventures, Celesta Capital, Mayfield, DNS Capital, as well as notable automotive OEM and tier 1 suppliers including BMW iVentures, Toyota Ventures, Bosch, Continental, Forvia and FluxUnit-OSRAM Ventures. For more information, visit www.recogni.com
that is at least 50% wrong. Renames deal was signed way before akida 1000. Also the company mentioned at that time is volume production of chips, the chips were allocated to the tap partners, 1st batch of chips are made available, and company spend more than 8 million dollars on taping out of akida 1000. And after 2 years company is telling us the same was not for commercial purposes. Which in other sense means that akida 1000 was a failure.2) Wrong, two contracts were signed officially so far. That likely would not have happened without a proof of concept. Since I invested from end of may 2020, it was clearly an IP strategy they were following.
Wrong. Now obviously you weren't an investor back then. They did their first test tape out in start of June 2020 and I remember that well, because I bought just before tape out. They then spent some months testing the chip, finally getting a contract with Renesas in December 2020.that is at least 50% wrong. Renames deal was signed way before akida 1000. Also the company mentioned at that time is volume production of chips, the chips were allocated to the tap partners, 1st batch of chips are made available, and company spend more than 8 million dollars on taping out of akida 1000. And after 2 years company is telling us the same was not for commercial purposes. Which in other sense means that akida 1000 was a failure.
There is no doubt after Sean taken over the company a lot has changed with many more new partners, new penetrations etc but that cannot defend the company that the previous plans does not go as per the plan.
Lol how is Akida 1000 a failure when you have the likes of Mercedes Benz using it in the EQXX, Nviso testing it and getting insane fps. Arm/SiFive wanting to be tech partners. Your kidding right..that is at least 50% wrong. Renames deal was signed way before akida 1000. Also the company mentioned at that time is volume production of chips, the chips were allocated to the tap partners, 1st batch of chips are made available, and company spend more than 8 million dollars on taping out of akida 1000. And after 2 years company is telling us the same was not for commercial purposes. Which in other sense means that akida 1000 was a failure.
There is no doubt after Sean taken over the company a lot has changed with many more new partners, new penetrations etc but that cannot defend the company that the previous plans does not go as per the plan.
Are we talking about the physical chip or the IP part?that is at least 50% wrong. Renames deal was signed way before akida 1000. Also the company mentioned at that time is volume production of chips, the chips were allocated to the tap partners, 1st batch of chips are made available, and company spend more than 8 million dollars on taping out of akida 1000. And after 2 years company is telling us the same was not for commercial purposes. Which in other sense means that akida 1000 was a failure.
There is no doubt after Sean taken over the company a lot has changed with many more new partners, new penetrations etc but that cannot defend the company that the previous plans does not go as per the plan.
If they are not for commercial purposes (the IP and not the physical chip) then Resenas and Megachip license agreement back then is for which product?So you're saying he should have never used the word "never" aren't you?
What if I based my investment decision to buy and then hold the stock since the first comments from the company about AKida 1000 were made?
Or in my case I'm an existing shareholder at that point in time but I maintain my holding because I rightly rely upon what a company representative has stated in open forum!
Comments made by both Peter and Sean to the effect that "we are starting volume production of the chip" or "we expect steady and consistent sales going forward."
To then be told by the current CEO that they never intended Akdia 1000 to be a commercial product!
Wow, talk about opening up the floodgates to potential lawsuits!
that is at least 50% wrong. Renames deal was signed way before akida 1000. Also the company mentioned at that time is volume production of chips, the chips were allocated to the tap partners, 1st batch of chips are made available, and company spend more than 8 million dollars on taping out of akida 1000. And after 2 years company is telling us the same was not for commercial purposes. Which in other sense means that akida 1000 was a failure.
There is no doubt after Sean taken over the company a lot has changed with many more new partners, new penetrations etc but that cannot defend the company that the previous plans does not go as per the plan.
If they are not for commercial purposes (the IP and not the physical chip) then Resenas and Megachip license agreement back then is for which product?
If our IP will be in a Renesas chip this year, my guess is it COULD BE via Arm® Cortex®-M85 processor in the Renesas R-Car V4H SoC.
I could be rong, but I don't tink so IMO.
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