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I had to get an overview first. Here is an interesting article. Translated but that's probably no matter.
The article is only a few months old, but it has been overtaken by events and time. Seems to me that RISC-Vs are conquering the market much faster. I'm blinking at China. I know, but still...
______________________________________________________________________________________________________________________________________________
"Open Source Processor Architecture
Analysis: Can RISC-V prevail?
17.12.2021 By Michael Eckstein
The open source chip architecture RISC-V scores with free access and supposedly lower costs. But can it hold its own against the dominant established ISAs x86 and ARM and conquer significant market shares? An analysis with an outlook.
Based on RISC-V processors from IP supplier SiFive, Renesas Electronics develops automotive controllers for driver assistance systems (ADAS), autonomous driving (AD), electric vehicles (EV) and connected gateways (CoGW). (Image: Renesas)
While the planned mega takeover of processor IP developer ARM by Nvidia is faltering, business with the open source instruction set architecture (ISA) RISC-V is picking up speed worldwide. This is confirmed by a recent analysis by management consultants Deloitte Global. According to this, the market for RISC-V processor cores will reach around double the volume of this year next year - and double again in 2023. According to Deloitte, the background to this is that the market that can be addressed with RISC-V processor cores is constantly expanding. This assessment is based on analyses by market observers such as Semico Research and Omdia.
According to the research, however, revenue will grow more slowly than might be expected from an open source solution. In 2023, it is expected to reach just under $800 million. The analysts forecast that in 2024, revenues from open source ISA could reach the $1 billion mark. The billion mark is then expected to fall one year later.
RISC-V has many advocates - but also powerful adversaries
Until now, computing cores - which are used, for example, in the central processing units (CPUs) in computers, data centers and smartphones - have mostly been the proprietary intellectual property of companies such as Intel, AMD or ARM. With their CPUs and SoCs (system on chips) or processor IPs, these three dominate the volume markets worldwide.
RISC-V, on the other hand, offers users typical open source advantages: The use of ISA is basically possible free of charge. Not least young companies can thus save license fees - at least in principle. However, since developing their own cores is not trivial, many companies will ultimately fall back on ready-made cores from developers such as SiFive or Andes Technology - and ultimately pay license fees for them. Nevertheless, there is another advantage: As open source, RISC-V is not subject to export restrictions. This makes it attractive for companies, especially in China, that are affected by these restrictions or fear being affected by them.
Flexibility and free access thanks to open source
Added to this is greater flexibility: RISC-V designs can be modified and tailored for specific applications. Market success proves that the ISA is compatible with a range of applications, Deloitte writes: "Although some doubters continue to argue that RISC-V could cause problems in different ecosystems, companies are using RISC-V cores for artificial intelligence (AI) image sensors, security management, AI computing, and machine control systems for 5G."
Other companies would plan to use them in various memory, graphics and machine learning applications. Even Intel's Foundry Services division is working with RISC-V vendor SiFive.
Not yet ready for all customers and applications
According to the Deloitte consultants, RISC-V is not yet suitable for all markets and customers. For example, the relatively young technology has only a few high-profile design successes to show. It lacks some of the key features of ARM or x86 ISAs, as well as the same level of developer support.
In addition, there are practically no advantages if a RISC-V design is finally to be realized in silicon. The same manufacturing technology is used in the foundry. Deloitte therefore assumes that even in 2025 sales of x86- and ARM-based chips will be many times higher than those of RISC-V-based designs.
RISC-V on the Chinese market
So who is interested in RISC-V? According to the analysts, the answer varies depending on the player.
Especially in China, RISC-V is used extensively. As a result of the latest US sanctions, Chinese manufacturers have already lost access to x86 or ARM ISAs - or must fear that this will happen. Even if trade policy eases, Chinese companies would have to reckon with the "ISA rug being pulled out from under their feet at any time".
With RISC-V, they could not only circumvent this danger, but also help China achieve one of its ambitious goals - namely, to reduce its dependence on chip imports. The country has been trying for years to become more self-sufficient in the production of chips. The road is rocky, however, because China has such an immense demand for semiconductors.
A look at the composition of the RISC-V Foundation's members proves the enormous importance of the open source ISA for the Middle Kingdom: Around one third of the organization's members are from China. In addition, several large Chinese companies have already announced RISC-V chips.
RISC-V for startup market
RISC-V is important not least for startups. Deloitte estimates that in the three years from 2020 to 2022, venture capitalists (VCs) will invest about $22 billion in startup chip companies of all kinds. By comparison, that's more than the $21 billion they invested in the entire 11 years between 2005 and 2016.
For startups with little capital and a monthly burn rate, expensive license fees they have to spend on a proprietary processor IP can be a drag - unlike for financially strong smartphone manufacturers, for example. Against this backdrop, it's not surprising that nearly a quarter of new ASIC and FPGA implementations by startups include at least one RISC-V processor, according to the Wilson Research Group's end-2020
RISC-V in the Artificial Intelligence (AI) Market
A number of new AI chip designs apparently use RISC-V, according to research by Deloitte. AI could be the backdoor through which the open ISA gains access to data centers. So far, x86 chips from Intel and, with some distance, AMD dominate here, ARM-based servers are only to be found in a few data centers so far, server processors based on RISC-V do not play a role.
It doesn't have to stay that way: Data centers have to process more and more AI workloads. Currently, GPUs from Nvidia are mostly used as AI accelerators, but specialized chips based on ARM are also becoming more common. RISC-V proponents like James Prior, Senior Director of Product Marketing and Communications at IP developer SiFive, see enormous potential for the open architecture here. Already there is speculation that AI chips could enable RISC-V to break into the data center market sooner than expected.
RISC-V in the automotive and IoT embedded market
The served addressable market (SAM) for automotive RISC-V was around 4 million cores in 2020. By the end of next year it could grow to around 150 million cores and even to 2.9 billion cores by 2025. That's the prediction of Semico Research augurs in their latest report, "RISC-V Market: Momentum Building," updated in February 2021. This focuses on four semiconductor devices where RISC-V cores lend themselves to use: Advanced Performance Multicore SoC, Value Multicore SoC, Basic SoCs and FPGAs.
The cooperation between Renesas Electronics and SiFive shows that these figures are not made up out of thin air: The two companies want to develop "high-end RISC-V solutions for automotive applications". As part of the "strategic partnership", SiFive is licensing its RISC-V core IP portfolio to Renesas.
The same manufacturer also cooperates with the Taiwanese RISC-V specialist Andes Technology. In the fall of 2020, Renesas announced that it would integrate the 32-bit RISC-V CPU cores "AndesCore" from the IP developer into its new ASSPs (Application-Specific Standard Products).
In general, chips for the automotive market are less about high performance than about energy efficiency and safety. RISC-V could score points here with its flexibility - for example, because only required functions need to be implemented. This is an argument that also applies to the IoT market.
But despite the fundamentally positive development of RISC-V, ARM will continue to dominate the embedded market over the next few years. After all, market researcher Omdia expects global market revenue for RISC-V-based IP, software and tools to rise from $52.0 million in 2018 to $1.1 billion in 2025.
RISC-V in the PC market
In the PC market, the open processor architecture will not play a role in the near future because energy efficiency has hardly played a role so far, at least for desktop PCs. According to Deloitte experts, among others, it is therefore unlikely that the PC market will switch to RISC-V on a large scale in the near future.
It is true that there is a Chinese initiative to use the technology to build laptops that support various open-source browsers. But the targeted numbers are vanishingly small: Just 2,000 laptops with RISC-V CPUs are expected to hit the market by the end of 2022. By comparison, around 300 million PCs were sold worldwide in the Corona year 2020.
Similar efforts are also underway in Russia, as the IT magazine Anandtech reported in July. According to the report, state-backed conglomerate Rostec, which specializes in technology investments, has reached an agreement with server company Yadro and chip designer Syntacore to develop RISC-V processors for computers, laptops and servers. Targeted unit sales here: Approx. 60,000 units sold by 2025.
According to Semico Research, RISC-V has a real chance of being used in larger quantities, at least in the notebook market: Up to 300 million processor cores are expected to be sold in this segment by the end of 2022. And energy efficiency and thus ultimately battery life definitely play an important role here.
Quintessence
At the moment, the large traditional chip manufacturers have little reason to worry that RISC-V will affect their business - Deloitte experts are certain of that. The costs of licensing an ISA from ARM may rise, but they generally amount to "only" a few million dollars. The license fees for Intel's x86 ISA are likely to be in a similar target corridor.
In the context of a new chip design for a popular smartphone or other application where chip volumes are in the millions, reducing ISA licensing costs through the use of RISC-V alone is unlikely to be a significant issue. There are numerous costs associated with making a chip: Design, verification, validation, software, fabrication, redevelopment if the first design contains a bug, and so on. All told, it will likely cost more than $500 million to manufacture a new chip with an advanced design in 2022.
Against this background, it will be interesting to see whether RISC-V can assert itself in an industry that has been dominated by two large, established companies for many years: Processors with Intel or ARM ISA had almost 100 percent market share in 2020.
Over the past decades, there have been nearly 50 different ISAs. Only a few of them are still around. And the remaining ones, such as MIPS, ARC or Tensilica, occupy only small niches. Little will change in this constellation in the near future. At least there is hope for the followers of RISC-V that there is still room for another ISA, which is recognizably conquering market shares."
https://www.elektronikpraxis.vogel.de/analyse-kann-sich-risc-v-durchsetzen-a-1083795/
The article is only a few months old, but it has been overtaken by events and time. Seems to me that RISC-Vs are conquering the market much faster. I'm blinking at China. I know, but still...
______________________________________________________________________________________________________________________________________________
"Open Source Processor Architecture
Analysis: Can RISC-V prevail?
17.12.2021 By Michael Eckstein
The open source chip architecture RISC-V scores with free access and supposedly lower costs. But can it hold its own against the dominant established ISAs x86 and ARM and conquer significant market shares? An analysis with an outlook.
Based on RISC-V processors from IP supplier SiFive, Renesas Electronics develops automotive controllers for driver assistance systems (ADAS), autonomous driving (AD), electric vehicles (EV) and connected gateways (CoGW). (Image: Renesas)
While the planned mega takeover of processor IP developer ARM by Nvidia is faltering, business with the open source instruction set architecture (ISA) RISC-V is picking up speed worldwide. This is confirmed by a recent analysis by management consultants Deloitte Global. According to this, the market for RISC-V processor cores will reach around double the volume of this year next year - and double again in 2023. According to Deloitte, the background to this is that the market that can be addressed with RISC-V processor cores is constantly expanding. This assessment is based on analyses by market observers such as Semico Research and Omdia.
According to the research, however, revenue will grow more slowly than might be expected from an open source solution. In 2023, it is expected to reach just under $800 million. The analysts forecast that in 2024, revenues from open source ISA could reach the $1 billion mark. The billion mark is then expected to fall one year later.
RISC-V has many advocates - but also powerful adversaries
Until now, computing cores - which are used, for example, in the central processing units (CPUs) in computers, data centers and smartphones - have mostly been the proprietary intellectual property of companies such as Intel, AMD or ARM. With their CPUs and SoCs (system on chips) or processor IPs, these three dominate the volume markets worldwide.
RISC-V, on the other hand, offers users typical open source advantages: The use of ISA is basically possible free of charge. Not least young companies can thus save license fees - at least in principle. However, since developing their own cores is not trivial, many companies will ultimately fall back on ready-made cores from developers such as SiFive or Andes Technology - and ultimately pay license fees for them. Nevertheless, there is another advantage: As open source, RISC-V is not subject to export restrictions. This makes it attractive for companies, especially in China, that are affected by these restrictions or fear being affected by them.
Flexibility and free access thanks to open source
Added to this is greater flexibility: RISC-V designs can be modified and tailored for specific applications. Market success proves that the ISA is compatible with a range of applications, Deloitte writes: "Although some doubters continue to argue that RISC-V could cause problems in different ecosystems, companies are using RISC-V cores for artificial intelligence (AI) image sensors, security management, AI computing, and machine control systems for 5G."
Other companies would plan to use them in various memory, graphics and machine learning applications. Even Intel's Foundry Services division is working with RISC-V vendor SiFive.
Not yet ready for all customers and applications
According to the Deloitte consultants, RISC-V is not yet suitable for all markets and customers. For example, the relatively young technology has only a few high-profile design successes to show. It lacks some of the key features of ARM or x86 ISAs, as well as the same level of developer support.
In addition, there are practically no advantages if a RISC-V design is finally to be realized in silicon. The same manufacturing technology is used in the foundry. Deloitte therefore assumes that even in 2025 sales of x86- and ARM-based chips will be many times higher than those of RISC-V-based designs.
RISC-V on the Chinese market
So who is interested in RISC-V? According to the analysts, the answer varies depending on the player.
Especially in China, RISC-V is used extensively. As a result of the latest US sanctions, Chinese manufacturers have already lost access to x86 or ARM ISAs - or must fear that this will happen. Even if trade policy eases, Chinese companies would have to reckon with the "ISA rug being pulled out from under their feet at any time".
With RISC-V, they could not only circumvent this danger, but also help China achieve one of its ambitious goals - namely, to reduce its dependence on chip imports. The country has been trying for years to become more self-sufficient in the production of chips. The road is rocky, however, because China has such an immense demand for semiconductors.
A look at the composition of the RISC-V Foundation's members proves the enormous importance of the open source ISA for the Middle Kingdom: Around one third of the organization's members are from China. In addition, several large Chinese companies have already announced RISC-V chips.
RISC-V for startup market
RISC-V is important not least for startups. Deloitte estimates that in the three years from 2020 to 2022, venture capitalists (VCs) will invest about $22 billion in startup chip companies of all kinds. By comparison, that's more than the $21 billion they invested in the entire 11 years between 2005 and 2016.
For startups with little capital and a monthly burn rate, expensive license fees they have to spend on a proprietary processor IP can be a drag - unlike for financially strong smartphone manufacturers, for example. Against this backdrop, it's not surprising that nearly a quarter of new ASIC and FPGA implementations by startups include at least one RISC-V processor, according to the Wilson Research Group's end-2020
RISC-V in the Artificial Intelligence (AI) Market
A number of new AI chip designs apparently use RISC-V, according to research by Deloitte. AI could be the backdoor through which the open ISA gains access to data centers. So far, x86 chips from Intel and, with some distance, AMD dominate here, ARM-based servers are only to be found in a few data centers so far, server processors based on RISC-V do not play a role.
It doesn't have to stay that way: Data centers have to process more and more AI workloads. Currently, GPUs from Nvidia are mostly used as AI accelerators, but specialized chips based on ARM are also becoming more common. RISC-V proponents like James Prior, Senior Director of Product Marketing and Communications at IP developer SiFive, see enormous potential for the open architecture here. Already there is speculation that AI chips could enable RISC-V to break into the data center market sooner than expected.
RISC-V in the automotive and IoT embedded market
The served addressable market (SAM) for automotive RISC-V was around 4 million cores in 2020. By the end of next year it could grow to around 150 million cores and even to 2.9 billion cores by 2025. That's the prediction of Semico Research augurs in their latest report, "RISC-V Market: Momentum Building," updated in February 2021. This focuses on four semiconductor devices where RISC-V cores lend themselves to use: Advanced Performance Multicore SoC, Value Multicore SoC, Basic SoCs and FPGAs.
The cooperation between Renesas Electronics and SiFive shows that these figures are not made up out of thin air: The two companies want to develop "high-end RISC-V solutions for automotive applications". As part of the "strategic partnership", SiFive is licensing its RISC-V core IP portfolio to Renesas.
The same manufacturer also cooperates with the Taiwanese RISC-V specialist Andes Technology. In the fall of 2020, Renesas announced that it would integrate the 32-bit RISC-V CPU cores "AndesCore" from the IP developer into its new ASSPs (Application-Specific Standard Products).
In general, chips for the automotive market are less about high performance than about energy efficiency and safety. RISC-V could score points here with its flexibility - for example, because only required functions need to be implemented. This is an argument that also applies to the IoT market.
But despite the fundamentally positive development of RISC-V, ARM will continue to dominate the embedded market over the next few years. After all, market researcher Omdia expects global market revenue for RISC-V-based IP, software and tools to rise from $52.0 million in 2018 to $1.1 billion in 2025.
RISC-V in the PC market
In the PC market, the open processor architecture will not play a role in the near future because energy efficiency has hardly played a role so far, at least for desktop PCs. According to Deloitte experts, among others, it is therefore unlikely that the PC market will switch to RISC-V on a large scale in the near future.
It is true that there is a Chinese initiative to use the technology to build laptops that support various open-source browsers. But the targeted numbers are vanishingly small: Just 2,000 laptops with RISC-V CPUs are expected to hit the market by the end of 2022. By comparison, around 300 million PCs were sold worldwide in the Corona year 2020.
Similar efforts are also underway in Russia, as the IT magazine Anandtech reported in July. According to the report, state-backed conglomerate Rostec, which specializes in technology investments, has reached an agreement with server company Yadro and chip designer Syntacore to develop RISC-V processors for computers, laptops and servers. Targeted unit sales here: Approx. 60,000 units sold by 2025.
According to Semico Research, RISC-V has a real chance of being used in larger quantities, at least in the notebook market: Up to 300 million processor cores are expected to be sold in this segment by the end of 2022. And energy efficiency and thus ultimately battery life definitely play an important role here.
Quintessence
At the moment, the large traditional chip manufacturers have little reason to worry that RISC-V will affect their business - Deloitte experts are certain of that. The costs of licensing an ISA from ARM may rise, but they generally amount to "only" a few million dollars. The license fees for Intel's x86 ISA are likely to be in a similar target corridor.
In the context of a new chip design for a popular smartphone or other application where chip volumes are in the millions, reducing ISA licensing costs through the use of RISC-V alone is unlikely to be a significant issue. There are numerous costs associated with making a chip: Design, verification, validation, software, fabrication, redevelopment if the first design contains a bug, and so on. All told, it will likely cost more than $500 million to manufacture a new chip with an advanced design in 2022.
Against this background, it will be interesting to see whether RISC-V can assert itself in an industry that has been dominated by two large, established companies for many years: Processors with Intel or ARM ISA had almost 100 percent market share in 2020.
Over the past decades, there have been nearly 50 different ISAs. Only a few of them are still around. And the remaining ones, such as MIPS, ARC or Tensilica, occupy only small niches. Little will change in this constellation in the near future. At least there is hope for the followers of RISC-V that there is still room for another ISA, which is recognizably conquering market shares."
https://www.elektronikpraxis.vogel.de/analyse-kann-sich-risc-v-durchsetzen-a-1083795/
If this great partnership ANN doesn’t lift the BRN SP in tomorrow trading session, nothing will.
BRN will very soon be a household name in AI and leading edge technology.
Congratulations my fellow shareholders.
BRN is the most underrated future blue chip stock of asx imo.
Learning
Learning to the Top 🕵♂️
Hi Steve,
Let me stick my nose in and answer your question, (Foundry) partner are the Company's thats fabricate computer chips.
Its great to be a shareholder.
Labsy
Regular
We can help them compete on mobile market.Brand new, hot off the press...
BrainChip and SiFive Partner to Deploy AI/ML Technology at the Edge
BrainChip and SiFive Partner to Deploy AI/ML Technology at the Edgewww.businesswire.com
Dream team! Yeaaah!
Attachments
Deadpool
hyper-efficient Ai
If nothing more at this stage, at least the word is getting out about our beloved company .
| Brainchip Akida As-it-happens update ⋅ 6 April 2022 | |
| NEWS | |
| BrainChip, SiFive partner to bring AI and ML to edge computing | VentureBeat VentureBeat The integration of BrainChip's Akida technology and SiFive's multi-core capable RISC-V processors is expected to provide an efficient solution for ... | |
| BrainChip and SiFive Partner to Deploy AI/ML Technology at the Edge | Business Wire Business Wire BrainChip's AkidaTM is a revolutionary advanced neural networking processor architecture that brings AI to the edge in a way that existing ... | |
| BrainChip to Bring AI & ML to Edge Computing with SiFive - ReadITQuik ReadITQuik By combining BrainChip's Akida technology and SiFive's multi-core capable RISC-V processors, the duo will provide an efficient solution for ... | |
| BrainChip and SiFive Partner to Deploy AI/ML Technology at the Edge - AiThority.com AiThority.com BrainChip's Akida is a revolutionary advanced neural networking processor architecture that brings AI to the edge in a way that existing ... | |
| BrainChip Continues Expansion with Sales Partnerships in New Geographic Markets MarketScreener These relationships serve as a gateway for introducing Akida technology to customers looking to leverage BrainChip's IP across a wide range of ... | |
| BrainChip and SiFive hook up for edge AI - Electronics Weekly Electronics Weekly BrainChip's Akida is a neural networking processor architecture that brings AI to the edge. SiFive Intelligence solutions with their configurable ... |
Ahboy
Regular
Not BRN, but worth a ponder.
World’s longest 165-mile 'drone superhighway’ proposed in the UK
A UK consortium wants to build the world’s largest and longest “drone superhighway,” connecting towns and cities across the United Kingdom.
dronedj.com
World’s longest 165-mile 'drone superhighway’ proposed in the UK
A UK consortium wants to build the world’s largest and longest “drone superhighway,” connecting towns and cities across the United Kingdom.
dronedj.com
World’s longest 165-mile ‘drone superhighway’ proposed in the UK
Ishveena Singh - Mar. 24th 2022 2:02 am PT @IshveenaSingh
Comments
A UK consortium has revealed its blueprint to build the world’s largest and longest “drone superhighway,” connecting towns and cities across the nation. The 165-mile (265 km) Project Skyway is being hailed as “the most ambitious transport project proposed for the UK since the advent of the railway network in the 18th century.”
Led by Unified Traffic Management (UTM) software provider Altitude Angel, the consortium says it would initially connect the Midlands with the Southeast to cover cities such as Reading, Oxford, Milton Keynes, Cambridge, Coventry, and Rugby. In the second phase of the project, the superhighway could be extended to Southampton on the south coast and Ipswich on the east coast.
The idea is to enable businesses in these regions to develop and grow through the commercialization of new drone-based products, processes, and services. However, a decision on whether the project would receive the green light is not expected for a few weeks at least.
But that’s not stopping Richard Parker, CEO and founder at Altitude Angel, from calling the proposed drone superhighway a harbinger of the second transport revolution in Britain. Here’s Parker:
Parker also points out that existing drone corridors or research facilities restrict access to operators by imposing punitive financial barriers to fly. Meanwhile, the drone superhighway planned in the UK would support fully automated drone flights beyond visual line of sight (BVLOS) from any drone company that completes a series of basic technical integrations, without requiring a specialist hardware onboard the drone.
Parker’s company is counting on the success of this highly ambitious project. Because once the UK drone superhighway is established, Altitude Angel would be able to market its detect and avoid technology to any organization, airport, or city in the UK or beyond, which wants to operate a similar corridor.
SharesForBrekky
Regular
Here is a neuromorphic computing article mentioning Brainchip:
Looks like you need to sign in to download the full report though.
Neuromorphic Computing Market 2022 Is growing Across the Globe surve in Latest Report 2028| Intel, IBM, BrainChip Holdings, Qualcomm - Blackswan Real Estate
MarketandResearch.biz first project, Global Neuromorphic Computing Market from 2022 to 2028, provide
blackswanzine.com
Looks like you need to sign in to download the full report though.
stuart888
Regular
The use cases for edge computing are beyond comprehension and growing by the month. This video by the Amazon Ceo of Worldwide Consumer Logistics is a fantastic listen. Not only does he highlight the AI/ML history of adoption at Amazon, but importance of every organization having their Chief Data Science person on the Board of Directors and is the most important person for every key decision. Plus all the use cases for 5 sensor human like AI (Brainchip) with robotics.
SiDEvans
Regular
Might have been posted before. Great to see this opportunity developing with ISL.
Good day all round in the US but I think they may have liked this bit of news.
Good day all round in the US but I think they may have liked this bit of news.
wilzy123
Founding Member
BrainChip and NVISO Partner on Human Behavioral Analytics in Automotive and Edge AI Devices
Wed, April 20, 2022, 8:00 AM
LAGUNA HILLS, Calif. & LAUSANNE, Switzerland, April 19, 2022
(BUSINESS WIRE)--BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of neuromorphic AI IP and chips, and nViso SA (NVISO), the leading human behavioral analytics AI company, today announced a collaboration targeting battery-powered applications in robotics and mobility/automotive to address the need for high levels of AI performance with ultra-low power technologies. The initial effort will include implementing NVISO’s AI solutions for Social Robots and In-cabin Monitoring Systems on BrainChip’s Akida™ processors.
Developers of automotive and consumer technologies are striving for devices that better respond to human behavior—which requires tools and applications to interpret human behavior captured from cameras and sensors on devices. However, these environments can be constrained by limited compute performance, power consumption, and cloud connectivity lapses. Akida addresses these weaknesses with high performance and ultra-low power (micro- to milliwatts) as well as by performing AI/ML processing of vision/image, motion, and sound data directly on devices, instead of in a remote cloud. Since information is not sent off-device, user privacy and security are also protected.
NVISO’s technology is uniquely able to analyze signals of human behavior such as facial expressions, emotions, identity, head poses, gaze, gestures, activities, and objects with which users interact. In robotics and in-vehicle applications, human behavior analytics detect the user’s emotional state to provide personalized, adaptive, interactive, safe devices and systems. The result of the collaboration between NVISO and BrainChip is expected to enable more advanced, more capable, and more accurate AI on consumer products.
"Our work with BrainChip will support AI’s demanding power/cost/performance needs for OEMs, even at mass production and scale, so they can benefit from faster and more efficient development cycles," said Tim Llewellynn, CEO of NVISO. "Ultra-low power edge-based consumer processing is expected to deliver a more intelligent and individualized user experience, and we believe running our AI solutions for Social Robots and In-cabin Monitoring Systems on Akida will provide a competitive edge for joint customers demanding always-on features on low power budgets."
"NVISO’s human behavioral analytics AI systems offer fascinating possibilities in homes, cars, buildings, hospitals, and more, and we’re enthusiastic about supporting these functions with BrainChip’s processing performance and energy efficiency," said Sean Hehir, BrainChip CEO. "This is not only a collaboration between two companies, it’s advancing the state of the art in AI with platforms for edge AI devices to interpret human behavior, improving product performance and user experience."
BrainChip’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 AI/ML local to the chip, independent of the cloud, also dramatically reduces latency while improving privacy and data security.
Source: https://finance.yahoo.com/news/brainchip-nviso-partner-human-behavioral-220000220.html
Kachoo
Regular
I was about to post this you beat me lol.
D
Deleted member 118
Guest
News & Media - NVISO
NEWS AND MEDIA In our news room, you’ll find the latest updates from NVISO.Read our press releases, news, blog articles and get accessto social media accounts and press images. PRESS KIT NEWS AND MEDIA In our news room, you’ll find the latest updates from NVISO.Read our press releases, news...
www.nviso.ai
Fact Finder
Top 20
Thanks Wilzy. Your not just a funny Gif. Regards. FF
buena suerte :-)
BOB Bank of Brainchip
D
Deleted member 118
Guest
Introducing NICOBO - Panasonic's Smart but Vulnerable Companion | Appliances | Products & Solutions | Feature Story
Archive of Panasonic Feature Stories: Enjoy a series of featured topics of Panasonic including its CSR activities, SNS initiatives and more.
D
Deleted member 118
Guest
I’m buying one, because at least I can blame the cat and not my dog now.
mashable.com
Panasonic's Nicobo is a pricey robot cat that farts whenever it feels like it
It's still really cute, though.
Last edited by a moderator:
wilzy123
Founding Member
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