I did some research and Renasas is supplying chips to Syntiant
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Getupthere
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Perceive AI Launches 2nd Edge AI Chip For Low Power Applications — Forbes
Company claims Ergo2 is up to four times faster than Perceive’s first-generation Ergo chip, and can handle much larger models such as NLP.
Perceive AI Launches 2nd Edge AI Chip For Low Power Applications
Company claims Ergo2 is up to four times faster than Perceive’s first-generation Ergo chip, and can handle much larger models such as NLP.
Edge AI is coming into its own, with a variety of chips being launched that offer low cost, low power, and high performance. While training AI models gets most of the attention in the media, Inference processing will end up getting most of the revenue, especially at the edge. Global Market Insights, a respected market intelligence firm, projects that the market for Edge AI will top $5B in 2023, with a 20% CAGR through the next decade. While our gut feel is that $5B is too high, we feel the 20% growth forecast is far too low.
At any rate, the market is attracting many contenders, including Perceive, which was spun out of Xperi Corporation in 2018 to concentrate on this opportunity, and now already has its second product ready for market.
What did Perceive Announce?
The company is not replacing its Ergo product, but rather is adding a higher performance and more capable chip for demanding edge applications. As the table below shows, the new device delivers a big boost in image classification, and consumes less than 20 mW. Thats Milliwatts, or 1/1000 of a watt. We know of no competitor who can claim that, and still deliver about 1000 inferences per second.
There are many companies readying or shipping chips for Edge AI, including SiMa.ai, Hailo Technologies, AlphaICs, Recogni, EdgeCortix, Flex Logix, Roviero, BrainChip, Syntiant, Untether AI, Expedera, Deep AI, Andes, Plumerai, in addition to Intel, AMD (Xilinx) and of course NVIDIA. Some, like NVIDIA and SiMa.ai are heading down the SoC route, where the chip offers a more complete solution including Arm or RISC-V CPU cores and I/O.
In contrast, Perceive (and others such as Hailo) has focussed on customers who are looking for an AI accelerator that attaches to an SoC for a specific application. Interestingly, the Ergo chip does not require external DRAM, although it supports connectivity to a NOR Flash to contain the weights for larger models. This can be a cost advantage for applications such as speech-to-text , audio applications, and video processing tasks like video super resolution and pose detection. Compared to existing products such as the Hailo-8 accelerator at 2-4 watts, the Ergo is targeting lower power (tens of milliwatts vs 2-4 watts for Hailo-8) albeit with lower performance.
Conclusions
As we’ve always said, the edge market is far easier to penetrate than training in the data center because different applications have dramatically different requirements. While an image processor for autonomous vehicles requires higher performance at higher power levels, a smart camera or an embedded speech to text processor demands a lower power envelope, and a lower cost. And many auto makers will prefer an SoC like NVIDIA Drive instead of designing their own SoC; Tesla is an exception to the rule.
Consequently, there is plenty of room for specific low-power processors such as Perceive, and the company is smart to quickly extend their first foray with a faster sub-watt processor. The software will be key to their success, enabling larger models to run efficiently on the new Ergo2.
We would note that there are many more competitors entering this market, so check back soon to stay up to date!
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Can't wait for Sean Hehir's next CEO address at the AGMImagine if BRN all of a sudden released its 4c now rather than late January and it contained good revenue. Shorters would get destroyed.
David holland
Regular
I can't either the CEO Made a statement, and I want to see if his backed up his words, no excuses if you put your head on the block pls make sure your rightCan't wait for Sean Hehir's next CEO address at the AGM
Dhm
Regular
It is articles like this one that hide Brainchip behind a veil of perceived mediocracy. A whole heap of 'competitors' in edge ai inference make a reader believe that the edge market is populated with like or similar products. It doesn't, for example, say that Intel pushed its own product aside to embrace Akida. I would love it for someone with the skill set to do a table of competitors to compare just who is the undisputed leader in this edge field.
Perceive AI Launches 2nd Edge AI Chip For Low Power Applications — Forbes
Company claims Ergo2 is up to four times faster than Perceive’s first-generation Ergo chip, and can handle much larger models such as NLP.apple.news
Perceive AI Launches 2nd Edge AI Chip For Low Power Applications
Company claims Ergo2 is up to four times faster than Perceive’s first-generation Ergo chip, and can handle much larger models such as NLP.
Edge AI is coming into its own, with a variety of chips being launched that offer low cost, low power, and high performance. While training AI models gets most of the attention in the media, Inference processing will end up getting most of the revenue, especially at the edge. Global Market Insights, a respected market intelligence firm, projects that the market for Edge AI will top $5B in 2023, with a 20% CAGR through the next decade. While our gut feel is that $5B is too high, we feel the 20% growth forecast is far too low.
At any rate, the market is attracting many contenders, including Perceive, which was spun out of Xperi Corporation in 2018 to concentrate on this opportunity, and now already has its second product ready for market.
What did Perceive Announce?
The company is not replacing its Ergo product, but rather is adding a higher performance and more capable chip for demanding edge applications. As the table below shows, the new device delivers a big boost in image classification, and consumes less than 20 mW. Thats Milliwatts, or 1/1000 of a watt. We know of no competitor who can claim that, and still deliver about 1000 inferences per second.
There are many companies readying or shipping chips for Edge AI, including SiMa.ai, Hailo Technologies, AlphaICs, Recogni, EdgeCortix, Flex Logix, Roviero, BrainChip, Syntiant, Untether AI, Expedera, Deep AI, Andes, Plumerai, in addition to Intel, AMD (Xilinx) and of course NVIDIA. Some, like NVIDIA and SiMa.ai are heading down the SoC route, where the chip offers a more complete solution including Arm or RISC-V CPU cores and I/O.
In contrast, Perceive (and others such as Hailo) has focussed on customers who are looking for an AI accelerator that attaches to an SoC for a specific application. Interestingly, the Ergo chip does not require external DRAM, although it supports connectivity to a NOR Flash to contain the weights for larger models. This can be a cost advantage for applications such as speech-to-text , audio applications, and video processing tasks like video super resolution and pose detection. Compared to existing products such as the Hailo-8 accelerator at 2-4 watts, the Ergo is targeting lower power (tens of milliwatts vs 2-4 watts for Hailo-8) albeit with lower performance.
Conclusions
As we’ve always said, the edge market is far easier to penetrate than training in the data center because different applications have dramatically different requirements. While an image processor for autonomous vehicles requires higher performance at higher power levels, a smart camera or an embedded speech to text processor demands a lower power envelope, and a lower cost. And many auto makers will prefer an SoC like NVIDIA Drive instead of designing their own SoC; Tesla is an exception to the rule.
Consequently, there is plenty of room for specific low-power processors such as Perceive, and the company is smart to quickly extend their first foray with a faster sub-watt processor. The software will be key to their success, enabling larger models to run efficiently on the new Ergo2.
We would note that there are many more competitors entering this market, so check back soon to stay up to date!
C-Suite News, Analysis And Advice For Top Decisionmakers
Sign up for the Forbes CxO Newsletter sent every Monday.
I wish I did have such a skillset.
This list of other edge inhabitants contains names I have never heard of. Can those with greater knowledge name which of these names that are pretenders, also those that are coming close, and those that are legitimate competition?
SiMa.ai, Hailo Technologies, AlphaICs, Recogni, EdgeCortix, Flex Logix, Roviero, Syntiant, Untether AI, Expedera, Deep AI, Andes, Plumerai, in addition to Intel, AMD (Xilinx)
“and consumes less than 20 mW. Thats Milliwatts, or 1/1000 of a watt. We know of no competitor who can claim that, and still deliver about 1000 inferences per second.”Perceive AI Launches 2nd Edge AI Chip For Low Power Applications — Forbes
Company claims Ergo2 is up to four times faster than Perceive’s first-generation Ergo chip, and can handle much larger models such as NLP.
Perceive AI Launches 2nd Edge AI Chip For Low Power Applications
Company claims Ergo2 is up to four times faster than Perceive’s first-generation Ergo chip, and can handle much larger models such as NLP.
Edge AI is coming into its own, with a variety of chips being launched that offer low cost, low power, and high performance. While training AI models gets most of the attention in the media, Inference processing will end up getting most of the revenue, especially at the edge. Global Market Insights, a respected market intelligence firm, projects that the market for Edge AI will top $5B in 2023, with a 20% CAGR through the next decade. While our gut feel is that $5B is too high, we feel the 20% growth forecast is far too low.
At any rate, the market is attracting many contenders, including Perceive, which was spun out of Xperi Corporation in 2018 to concentrate on this opportunity, and now already has its second product ready for market.
What did Perceive Announce?
The company is not replacing its Ergo product, but rather is adding a higher performance and more capable chip for demanding edge applications. As the table below shows, the new device delivers a big boost in image classification, and consumes less than 20 mW. Thats Milliwatts, or 1/1000 of a watt. We know of no competitor who can claim that, and still deliver about 1000 inferences per second.
There are many companies readying or shipping chips for Edge AI, including SiMa.ai, Hailo Technologies, AlphaICs, Recogni, EdgeCortix, Flex Logix, Roviero, BrainChip, Syntiant, Untether AI, Expedera, Deep AI, Andes, Plumerai, in addition to Intel, AMD (Xilinx) and of course NVIDIA. Some, like NVIDIA and SiMa.ai are heading down the SoC route, where the chip offers a more complete solution including Arm or RISC-V CPU cores and I/O.
In contrast, Perceive (and others such as Hailo) has focussed on customers who are looking for an AI accelerator that attaches to an SoC for a specific application. Interestingly, the Ergo chip does not require external DRAM, although it supports connectivity to a NOR Flash to contain the weights for larger models. This can be a cost advantage for applications such as speech-to-text , audio applications, and video processing tasks like video super resolution and pose detection. Compared to existing products such as the Hailo-8 accelerator at 2-4 watts, the Ergo is targeting lower power (tens of milliwatts vs 2-4 watts for Hailo-8) albeit with lower performance.
Conclusions
As we’ve always said, the edge market is far easier to penetrate than training in the data center because different applications have dramatically different requirements. While an image processor for autonomous vehicles requires higher performance at higher power levels, a smart camera or an embedded speech to text processor demands a lower power envelope, and a lower cost. And many auto makers will prefer an SoC like NVIDIA Drive instead of designing their own SoC; Tesla is an exception to the rule.
Consequently, there is plenty of room for specific low-power processors such as Perceive, and the company is smart to quickly extend their first foray with a faster sub-watt processor. The software will be key to their success, enabling larger models to run efficiently on the new Ergo2.
We would note that there are many more competitors entering this market, so check back soon to stay up to date!
C-Suite News, Analysis And Advice For Top Decisionmakers
Sign up for the Forbes CxO Newsletter sent every Monday.
They can’t be too well informed
Getupthere
Regular
I think this article is a good sign that the leader in this space Akida is not mentioned at all.Was recently reading about Hailo 8. Uses 2 to 4 watts and they call that low power
market opportunity for 2023 is $5 billion dollars and growing.
Nice….
Only a matter of time folks.
DYOR.
Fact Finder
Top 20
Hi @Dhm
This article was posted the other day. It is a load of old string pulled together to make what appears to be a rope. Ergo & Ergo2 are pre trained single use chips no incremental on chip or one shot learning. You cannot add another type of processing once you have bought and deployed it.
As for the competitors they have chosen anything that sounds like it might have something to do with Ai.
Have a look at DeepAi. Don’t waste your time on it not worth the effort. A paid advertisement:
Now back to work.
My opinion only DYOR
FF
AKIDA BALLISTA
Taproot
Regular
This is the way forward,
LAS VEGAS, NV – Today at CES 2023, Panasonic Automotive Systems Company of America, a global expert in connected automotive infotainment solutions and division of Panasonic Corporation of North America, announced an update for its SkipGen in-vehicle infotainment (IVI) system by demonstrating an industry-first automotive integration that provides customers simultaneous access to Siri while using Apple CarPlay or Alexa by simply speaking either “Hey Siri” or “Alexa,” respectively.
Panasonic Automotive’s SkipGen creates a customer friendly experience for in-vehicle voice requests through the company’s deep experience integrating Apple CarPlay with their offerings, paired with the implementation of Amazon’s latest Alexa Auto SDK. On SkipGen, some customers may want to use Siri for iPhone features in Apple CarPlay, or Alexa for in-vehicle controls and more. This increases customer value by providing simultaneous access to Siri and Alexa with their corresponding capabilities on a single system through the wake words.
Currently, 123.5 million U.S. adults will use voice assistants at least once per month, and that number is forecast to grow to 126.8 million – nearly half of U.S. adults – by 2025. Voice services are becoming more capable every day, but to be truly useful, they need to be readily accessible wherever and whenever customers need them by providing more choice. That is why Amazon and Panasonic Automotive have collaborated to develop this integration for SkipGen, which is enabled by the Alexa Auto SDK, and relies on Panasonic’s deep experience integrating Siri and CarPlay into automotive systems.
“Our latest integration with Amazon’s SDK builds on our strong multi-year relationship and collaboration to elevate ambient digital experiences across different environments,” said Andrew Poliak, CTO of Panasonic Automotive Systems Company of America. “Customers want to be able to take their voice assistants with them on the road, and we are excited to be able to team up on an industry-first integration that seamlessly enables phone calls, music playback, navigation, and more.”
"Voice interoperability is a pillar of Amazon’s broader vision to scale ambient intelligence. We believe customers and device makers should have flexibility and choice, and we provide the best experience when customers have simultaneous access to multiple voice services on a device,” said Aaron Rubenson, VP of Amazon Alexa. “We’re excited about this cross-industry collaboration, as it builds on this shared vision and can improve the way people interact with their vehicles.”
Amazon founded the Voice Interoperability Initiative (VII), a program with the mission to ensure voice-enabled products provide customers with choice and flexibility by supporting multiple voice AIs simultaneously on a single device. Amazon launched VII in 2019 with 35 companies, and that number is now over 90 members strong.
In addition to the benefits of the multi-assistant integration, the Alexa Auto SDK provides core Alexa functionality, such as wake word detection, speech recognition, and synthesis. It also offers capabilities for customizing car control features, monitoring and controlling smart home devices, getting weather reports, interacting with media playback, executing local search and navigation, and accessing local voice control to use certain Alexa features when internet connectivity is unavailable.
“Voice interoperability as offered on the SkipGen system is a great example of the powerful experiences that can be unlocked with Amazon’s latest Automotive SDK,” said Anes Hodzic, VP of Amazon Smart Vehicles. “We’re thrilled to partner with Panasonic Automotive to enable this functionality for automakers, and continue on our vision to deliver personalized, proactive, and intuitive digital experiences that delight drivers and passengers.”
About Panasonic Automotive Systems Company of America
Panasonic Automotive Systems Company of America is a division company of Panasonic Corporation of North America and is a leading global supplier of automotive infotainment and connectivity system solutions. Panasonic Automotive is head quartered in Peachtree City, Georgia, with sales, marketing and engineering operations in Farmington Hills, Mich. For more information on Panasonic Automotive, please visit https://na.panasonic.com/us/automotive-solutions
Media Contact, Panasonic Automotive:
Maria Rohrer
248-385-4734
Maria.Rohrer@us.panasonic.com
Panasonic Automotive Updates SkipGen In-Vehicle Infotainment System to Offer Industry-First Wake Word Access to Siri and Alexa
January 04, 2023LAS VEGAS, NV – Today at CES 2023, Panasonic Automotive Systems Company of America, a global expert in connected automotive infotainment solutions and division of Panasonic Corporation of North America, announced an update for its SkipGen in-vehicle infotainment (IVI) system by demonstrating an industry-first automotive integration that provides customers simultaneous access to Siri while using Apple CarPlay or Alexa by simply speaking either “Hey Siri” or “Alexa,” respectively.
Panasonic Automotive’s SkipGen creates a customer friendly experience for in-vehicle voice requests through the company’s deep experience integrating Apple CarPlay with their offerings, paired with the implementation of Amazon’s latest Alexa Auto SDK. On SkipGen, some customers may want to use Siri for iPhone features in Apple CarPlay, or Alexa for in-vehicle controls and more. This increases customer value by providing simultaneous access to Siri and Alexa with their corresponding capabilities on a single system through the wake words.
Currently, 123.5 million U.S. adults will use voice assistants at least once per month, and that number is forecast to grow to 126.8 million – nearly half of U.S. adults – by 2025. Voice services are becoming more capable every day, but to be truly useful, they need to be readily accessible wherever and whenever customers need them by providing more choice. That is why Amazon and Panasonic Automotive have collaborated to develop this integration for SkipGen, which is enabled by the Alexa Auto SDK, and relies on Panasonic’s deep experience integrating Siri and CarPlay into automotive systems.
“Our latest integration with Amazon’s SDK builds on our strong multi-year relationship and collaboration to elevate ambient digital experiences across different environments,” said Andrew Poliak, CTO of Panasonic Automotive Systems Company of America. “Customers want to be able to take their voice assistants with them on the road, and we are excited to be able to team up on an industry-first integration that seamlessly enables phone calls, music playback, navigation, and more.”
"Voice interoperability is a pillar of Amazon’s broader vision to scale ambient intelligence. We believe customers and device makers should have flexibility and choice, and we provide the best experience when customers have simultaneous access to multiple voice services on a device,” said Aaron Rubenson, VP of Amazon Alexa. “We’re excited about this cross-industry collaboration, as it builds on this shared vision and can improve the way people interact with their vehicles.”
Amazon founded the Voice Interoperability Initiative (VII), a program with the mission to ensure voice-enabled products provide customers with choice and flexibility by supporting multiple voice AIs simultaneously on a single device. Amazon launched VII in 2019 with 35 companies, and that number is now over 90 members strong.
In addition to the benefits of the multi-assistant integration, the Alexa Auto SDK provides core Alexa functionality, such as wake word detection, speech recognition, and synthesis. It also offers capabilities for customizing car control features, monitoring and controlling smart home devices, getting weather reports, interacting with media playback, executing local search and navigation, and accessing local voice control to use certain Alexa features when internet connectivity is unavailable.
“Voice interoperability as offered on the SkipGen system is a great example of the powerful experiences that can be unlocked with Amazon’s latest Automotive SDK,” said Anes Hodzic, VP of Amazon Smart Vehicles. “We’re thrilled to partner with Panasonic Automotive to enable this functionality for automakers, and continue on our vision to deliver personalized, proactive, and intuitive digital experiences that delight drivers and passengers.”
About Panasonic Automotive Systems Company of America
Panasonic Automotive Systems Company of America is a division company of Panasonic Corporation of North America and is a leading global supplier of automotive infotainment and connectivity system solutions. Panasonic Automotive is head quartered in Peachtree City, Georgia, with sales, marketing and engineering operations in Farmington Hills, Mich. For more information on Panasonic Automotive, please visit https://na.panasonic.com/us/automotive-solutions
Media Contact, Panasonic Automotive:
Maria Rohrer
248-385-4734
Maria.Rohrer@us.panasonic.com
you're picking my brain now as I've been somewhat AWOL with 2 little kids.
Think it was Feb/March 2020. around then i think
Rise from the ashes
Regular
Brilliant Veggies that is correct march 2020 but I reckon they had it a bit earlier as they would have messed around with it before we found out officially. So February is good
Thank you for taking part in the quiz.
I'll get the subscription sorted in about 20 minutes for you
Rise from the ashes
Regular
Rise from the ashes
Regular
I'm really starting to be a big FAN of your postings here, Learning
🏖
Rise from the ashes
Regular
BrainChip Holdings (ASX:BRN) Scheduled Market Update Presentation, March 2020
27 Mar 2020 - BrainChip Holdings Limited (ASX:BRN) CEO Louis DiNardo, Founder and CTO Peter van der Made, and Founder and CDO Anil Mankar provide an update on the company.
Jumpchooks
Regular
Yes, I agree. It keeps reminding me of "Big Brother" Orson Wells had wonderful foresight. My eyes are notorious for wandering when I'm at the beach. Luckily my grandkids keep me in check, digging holes and trying to hold back the tide.
Jumpchooks
Regular
FF you are a Major Contributor to this Forum ( as well as many others), thank you sooo much to you all. I hope you all bought BRN in large numbers at a Low SP. Your justice deserves. I hope to meet some of you in the near future. My great wish is that AKIDA call only contribute towards Good and not be used for Offensive Warfare, Defence maybe.I have hammered away at the importance of Renesas to Brainchip in the automotive space, time and time again, since December, 2020 when first announced.
Then here someone recently posted that it seemed unlikely any big names will be revealed at CES 2023.
Well with the following article from 2020 I will have one final crack at getting across that despite the ignorance of many WANCAs and HC manipulators RENESAS IS A BIG NAME IN THE AUTOMOTIVE OEM SPACE and they are revealing their taped out AKIDA technology MCUs at CES 2023 - real product being delivered to the automotive industry by one of the biggest OEMs bigger than “Bosch, Micron, Nexperia, nVIDIA, Qualcomm and Xilinx”.
As we used to say at primary school ‘suck on them eggs.’
My blunt opinion only DYOR
FF
AKIDA BALLISTA
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By David Manners 4th May 2020
NXP, Infineon, Renesas, TI, ST stay top five for auto ICs
NXP, Infineon, Renesas, Texas Instruments and STMicroelectronics maintained their positions in the top five of Strategy Analytics’ annual assessment of the automotive semiconductor industry vendor market share rankings.
NXP, Infineon, Renesas, Texas Instruments and STMicroelectronics maintained their positions in the top five of Strategy Analytics’ annual assessment of the automotive semiconductor industry vendor market share rankings.
Total automotive semiconductor revenues taken by vendors in 2019 were down 1.3% to $37.2 billion, compared to 2018, with NXP, Infineon, Renesas, Texas Instruments and STMicroelectronics maintaining their top five rankings.
The gap between NXP and Infineon effectively closed to zero, while STMicroelectronics was the only company to be able to demonstrate revenue growth.
“2019 continued to see global automotive semiconductor demand slowing down with vehicle production flat or down in all of the major regions including China,” noted SA’s Ian Riches, “this was partially offset by revenue opportunities coming from high growth applications such as ADAS, electrified powertrains and wireless connectivity. However, this was not enough to translate to automotive semiconductor vendor revenue growth in 2019.”
“Our analysis shows a lot of companies struggled to show positive revenue growth in 2019, though there were some notable vendor year-on-year revenue increases, as exemplified by Bosch, Micron, Nexperia, nVIDIA, Qualcomm and Xilinx,” says report author Asif Anwar, “we will see a major shakeup in market share rankings moving forwards. In 2019, Infineon announced that the company had entered into a definitive agreement to acquire Cypress. This acquisition closed successfully in April 2020, and effectively propels Infineon into the number 1 spot moving forwards.”
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