Justchilln
Regular
Great find!
If we can sign a similar partnership with amd or arm I’ll sell my left leg for brainchip shares.
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
If we can sign a similar partnership with amd or arm I’ll sell my left leg for brainchip shares.
Stable Genius
Regular
Hi Sirod,I am from Germany it was a great day and i am really noisy how australia reacts soon
My view is that a lot of ASX investors don’t appreciate what we’ve got here. As you have Mercedes’ where Akida is being implemented there is more of an appreciation of Akida’s impact.
Generally speaking you’ve always had a reputation for highly skilled engineers as well so maybe there’s a higher knowledge base of Akida over there!
Glad to have you guys onboard!
We’ll see if the penny drops today and the price goes up as it should considering the last two engagements!
Cheers
Fact Finder
Top 20
I agree Dippy but my focus was the great unwashed.
The up to 35,000 other shareholders who do not read the 1,000 Eyes.
The Magpies of the share market who collect new shiny things that grab their attention.
Those who consider doing their own research means reading ASX announcements and occasional financial news articles.
The masses in other words who in my opinion have no idea Brainchip has press releases and a website.
I was addressing how and when the information we have will reach this group and if when it does as a price sensitive announcement might they react.
My opinion only DYOR
FF
AKIDA BALLISTA
Fact Finder
Top 20
DESIGNLINES
AI & BIG DATA DESIGNLINE
SiFive and BrainChip Partner to Demo IP Compatibility
By Sally Ward-Foxton 04.20.2022 0Share Post
SiFive and BrainChip have partnered to show their IP is compatible in SoC designs for embedded artificial intelligence (AI). The companies have demonstrated BrainChip’s neuromorphic processing unit (NPU) IP working alongside SiFive’s RISC–V host processor IP.
Brainchip’s NPU processor IP, the basis for its Akida chip, is a neuromorphic processor designed to accelerate spiking neural networks. This IP can be used to analyze inputs from most sensor types, including cameras, to provide ultra–low power analysis in real–time applications. A recent BrainChip demo showed its Akida chip in a vehicle, detecting the driver, recognizing the driver’s face, and identifying their voice simultaneously. Keyword spotting required 600 µW, facial recognition needed 22 mW, and the visual wake–word inference used to detect the driver was 6–8 mW.
ADVERTISING
BrainChip’s NPU is available as IP or in the company’s Akida chip (Source: BrainChip) (Click image to enlarge)SiFive is a provider of RISC–V processor IP, including its Intelligence series of multi–core capable RISC–V processors with vector extensions which are optimized for AI workloads in edge devices.
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SCROLL DOWN TO CONTINUE READING
“BrainChip can run [AI] algorithms on their own, but when they move into a larger system, they will need a host processor,” Chris Jones, vice president, product at SiFive, told EE Times. “You could pick a host processor that does nothing but scheduling, or you could pick a host processor that actually contributes to the AI processing, and that’s where the SiFive Intelligence product comes in.”
In an SoC design for edge AI, the AI workload would typically be split between host processor, vector processor, and AI accelerator — some parts of edge workloads are better suited to general purpose compute rather than a dedicated AI accelerator, Jones said.
“It’s advantageous for BrainChip to align with industry leaders to make sure their customers have a seamless integration experience, so BrainChip can deliver the requisite software that runs on the host processor and makes it easier for the end user to integrate their products and ours,” he said.
Jones described work done so far as the “tip of the iceberg,” adding that the two companies have so far demonstrated compatibility of BrainChip’s IP with SiFive’s RISC–V architecture. The companies will work together on an ongoing basis to further integrate software and hardware IP.
“We have ambitious plans going forward,” Jones said. “SiFive has made great strides in the last year or so, bringing vector processing to market now that [vector processing] has found its niche in AI and image signal processing.”
Part of SiFive’s plan is to build an ecosystem of AI accelerator IP providers whose products are compatible with its host processor IP.
“Our relationship with BrainChip is in no way exclusive,” Jones said. “BrainChip is the first partner we’ve gone public with, but we’re talking to many other players in this space.”
While BrainChip is the company’s first hardware IP partner, SiFive has design wins for its host processor IP, including data center AI accelerator company Tenstorrent.
“Certainly, we’re open to exploring partnerships with people who have novel technology,” he said. “Companies that are bringing IP or chips to market can’t ignore RISC–V as a platform just because of the market share we’re taking.”
Bravo
If ARM was an arm, BRN would be its biceps💪!
Plenty of sexy words In there press release.
Down to you now @Fact Finder
Lausanne, Switzerland & Laguna Hills, Calif. – April 19, 2022 – 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.
About NVISO, NVISO is an Artificial Intelligence company founded in 2009 and headquartered at the Innovation Park of the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland. Its mission is to help teach machines to understand people and their behavior to make autonomous machines safe, secure, and personalized for humans. As leader in human behavioral AI, it provides robust embedded software solutions that can sense, comprehend, and act upon human behavior in real-world environments deployed at the deep edge. It achieves this through real-time perception and observation of people and objects in contextual situations combined with the reasoning and semantics of human behavior based on trusted scientific research. NVISO’s technology is made accessible through ready-to-use AI solutions addressing Smart Mobility and Smart Health and Living applications (in-cabin monitoring systems, health assessments, and companion robot sensing) with a key focus on the deep and extreme edge with ultra-low power processing capabilities. With a singular focus on how to apply the most advanced and robust technology to industry and societal problems that matter, NVISO’s solutions help advance human potential through more robust and rich human machine interactions. ir.nviso.ai
I must say I quite like the sound of this sentence, "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.
MMM...MASS PRODUCTION AND SCALE...
Yummo!
Dijon101
Regular
I'm mostly pleased that we've been consolidating around the 90's.
No doubt bigger whales are in charge and are keeping the price around where they want to accumulate.
5% up on Tuesday followed by a wednesday that didn't give up any of our gains all points towards the coil getting tighter, ready for the next leg up.
Add to that, that the US and German brainchip price jumped 9% over night.
We are only just getting started on the commercialisation phase.
Everyone here can see the big picture.
Everyone here knows the scope of use cases our little chip has.
This is going to be such a fun ride.
No doubt bigger whales are in charge and are keeping the price around where they want to accumulate.
5% up on Tuesday followed by a wednesday that didn't give up any of our gains all points towards the coil getting tighter, ready for the next leg up.
Add to that, that the US and German brainchip price jumped 9% over night.
We are only just getting started on the commercialisation phase.
Everyone here can see the big picture.
Everyone here knows the scope of use cases our little chip has.
This is going to be such a fun ride.
Bravo
If ARM was an arm, BRN would be its biceps💪!
DESIGNLINES
AI & BIG DATA DESIGNLINE
SiFive and BrainChip Partner to Demo IP Compatibility
By Sally Ward-Foxton 04.20.2022 0
Share Post
SiFive and BrainChip have partnered to show their IP is compatible in SoC designs for embedded artificial intelligence (AI). The companies have demonstrated BrainChip’s neuromorphic processing unit (NPU) IP working alongside SiFive’s RISC–V host processor IP.
Brainchip’s NPU processor IP, the basis for its Akida chip, is a neuromorphic processor designed to accelerate spiking neural networks. This IP can be used to analyze inputs from most sensor types, including cameras, to provide ultra–low power analysis in real–time applications. A recent BrainChip demo showed its Akida chip in a vehicle, detecting the driver, recognizing the driver’s face, and identifying their voice simultaneously. Keyword spotting required 600 µW, facial recognition needed 22 mW, and the visual wake–word inference used to detect the driver was 6–8 mW.
ADVERTISING
BrainChip’s NPU is available as IP or in the company’s Akida chip (Source: BrainChip) (Click image to enlarge)
SiFive is a provider of RISC–V processor IP, including its Intelligence series of multi–core capable RISC–V processors with vector extensions which are optimized for AI workloads in edge devices.
ADVERTISEMENT
SCROLL DOWN TO CONTINUE READING
“BrainChip can run [AI] algorithms on their own, but when they move into a larger system, they will need a host processor,” Chris Jones, vice president, product at SiFive, told EE Times. “You could pick a host processor that does nothing but scheduling, or you could pick a host processor that actually contributes to the AI processing, and that’s where the SiFive Intelligence product comes in.”
In an SoC design for edge AI, the AI workload would typically be split between host processor, vector processor, and AI accelerator — some parts of edge workloads are better suited to general purpose compute rather than a dedicated AI accelerator, Jones said.
“It’s advantageous for BrainChip to align with industry leaders to make sure their customers have a seamless integration experience, so BrainChip can deliver the requisite software that runs on the host processor and makes it easier for the end user to integrate their products and ours,” he said.
Jones described work done so far as the “tip of the iceberg,” adding that the two companies have so far demonstrated compatibility of BrainChip’s IP with SiFive’s RISC–V architecture. The companies will work together on an ongoing basis to further integrate software and hardware IP.
“We have ambitious plans going forward,” Jones said. “SiFive has made great strides in the last year or so, bringing vector processing to market now that [vector processing] has found its niche in AI and image signal processing.”
Part of SiFive’s plan is to build an ecosystem of AI accelerator IP providers whose products are compatible with its host processor IP.
“Our relationship with BrainChip is in no way exclusive,” Jones said. “BrainChip is the first partner we’ve gone public with, but we’re talking to many other players in this space.”
While BrainChip is the company’s first hardware IP partner, SiFive has design wins for its host processor IP, including data center AI accelerator company Tenstorrent.
“Certainly, we’re open to exploring partnerships with people who have novel technology,” he said. “Companies that are bringing IP or chips to market can’t ignore RISC–V as a platform just because of the market share we’re taking.”
Hi FF,
Is it just me or have you noticed there's a lot people talking about tips of icebergs these days?
Attachments
Sirod69
bavarian girl ;-)
I think mercedes will be together with Akida either and bring it within the next they build.... oh its so horrible to write in english since a long time, and i was an informatic assistant in a time with DOS ... and I learnd Assembler, you know? but its really often difficult to understand you all, so, nice to be here by the 1000 eyes
Stable Genius
Regular
You speak much better English than I do German!
I take my hat off to anyone who’s multilingual!
Cheers!
Fact Finder
Top 20
Talking about people talking, what about the people in the know, that is the people outside Brainchip who have technical, commercial and market expertise and who have dug deep into Brainchip, its AKIDA technology platforms and bought a ticket on the bus:
SOCIONEXT:
“As a leading provider of ASICs worldwide, we are pleased to offer our customers advanced technologies driving new innovations,” said Noriaki Kubo, Corporate Executive Vice President of Socionext Inc. “The Akida family of products allows us to stay at the forefront of the burgeoning AI market. BrainChip and Socionext have successfully collaborated on the Akida IC development and together, we aim to commercialize this product family and support our increasingly diverse customer base.”
MEGACHIPS:
“As a trusted and loyal partner to market leaders, we deliver the technology and expertise they need to ensure products are uniquely designed for their customers and engineered for ultimate performance,” said Tetsuo Hikawa, President and CEO of MegaChips. “Working with BrainChip and incorporating their Akida technology into our ASIC solutions service, we are better able to handle the development and support processes needed to design and manufacture integrated circuits and systems on chips that can take advantage of AI at the Edge.”
MERCEDES BENZ:
“Working with California-based artificial intelligence experts BrainChip, Mercedes-Benz engineers developed systems based on BrainChip’s Akida hardware and software,” Mercedes noted in a statement describing the Vision EQXX. “The example in the Vision EQXX is the “Hey Mercedes” hot-word detection. Structured along neuromorphic principles, it is five to ten times more efficient than conventional voice control,” the carmaker claimed
VORAGO:
Bernd Lienhard, VORAGO CEO added, “We are thrilled and honored to partner with BrainChip to harness the radiation hardening capabilities of our patented HARDSIL® technology for the Phase I program with NASA. Our ongoing mission of creating components with increased availability and unmatched solutions in aerospace and defense applications paired with the Akida neuromorphic processor will create unprecedented standards moving forward in the industry.”
SiFIVE:
Employing Akida, BrainChip’s specialized, differentiated AI engine, with high-performance RISC-V processors such as the SiFive Intelligence Series is a natural choice for companies looking to seamlessly integrate an optimized processor to dedicated ML accelerators that are a must for the demanding requirements of edge AI computing,” said Chris Jones, vice president, products at SiFive. “BrainChip is a valuable addition to our ecosystem portfolio”. Jones described work done so far as the “tip of the iceberg,” adding that the two companies have so far demonstrated compatibility of BrainChip’s IP with SiFive’s RISC–V architecture. The companies will work together on an ongoing basis to further integrate software and hardware IP.”
NVISO:
“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.”
NASA:
No comment. We are not allowed to talk about it.
RENESAS:
No comment yet. We are told to expect MCU's to be released this year.
As well as these tip of the iceberg quotes we are told there are those who consider Brainchip's AKIDA technology as their Kryptonite, their strategic advantage, their strategic differentiator who have bought a ticket on the bus but are wearing dark glasses, hats pulled down, overcoat collars turned up who will not answer questions and will not speak lest they be identified and their competitors catch on and try to catch the same bus to market dominance. Their absolute and committed silence speaks louder than words.
My opinion only DYOR
FF
AKIDA BALLISTA
SOCIONEXT:
“As a leading provider of ASICs worldwide, we are pleased to offer our customers advanced technologies driving new innovations,” said Noriaki Kubo, Corporate Executive Vice President of Socionext Inc. “The Akida family of products allows us to stay at the forefront of the burgeoning AI market. BrainChip and Socionext have successfully collaborated on the Akida IC development and together, we aim to commercialize this product family and support our increasingly diverse customer base.”
MEGACHIPS:
“As a trusted and loyal partner to market leaders, we deliver the technology and expertise they need to ensure products are uniquely designed for their customers and engineered for ultimate performance,” said Tetsuo Hikawa, President and CEO of MegaChips. “Working with BrainChip and incorporating their Akida technology into our ASIC solutions service, we are better able to handle the development and support processes needed to design and manufacture integrated circuits and systems on chips that can take advantage of AI at the Edge.”
MERCEDES BENZ:
“Working with California-based artificial intelligence experts BrainChip, Mercedes-Benz engineers developed systems based on BrainChip’s Akida hardware and software,” Mercedes noted in a statement describing the Vision EQXX. “The example in the Vision EQXX is the “Hey Mercedes” hot-word detection. Structured along neuromorphic principles, it is five to ten times more efficient than conventional voice control,” the carmaker claimed
VORAGO:
Bernd Lienhard, VORAGO CEO added, “We are thrilled and honored to partner with BrainChip to harness the radiation hardening capabilities of our patented HARDSIL® technology for the Phase I program with NASA. Our ongoing mission of creating components with increased availability and unmatched solutions in aerospace and defense applications paired with the Akida neuromorphic processor will create unprecedented standards moving forward in the industry.”
SiFIVE:
Employing Akida, BrainChip’s specialized, differentiated AI engine, with high-performance RISC-V processors such as the SiFive Intelligence Series is a natural choice for companies looking to seamlessly integrate an optimized processor to dedicated ML accelerators that are a must for the demanding requirements of edge AI computing,” said Chris Jones, vice president, products at SiFive. “BrainChip is a valuable addition to our ecosystem portfolio”. Jones described work done so far as the “tip of the iceberg,” adding that the two companies have so far demonstrated compatibility of BrainChip’s IP with SiFive’s RISC–V architecture. The companies will work together on an ongoing basis to further integrate software and hardware IP.”
NVISO:
“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.”
NASA:
No comment. We are not allowed to talk about it.
RENESAS:
No comment yet. We are told to expect MCU's to be released this year.
As well as these tip of the iceberg quotes we are told there are those who consider Brainchip's AKIDA technology as their Kryptonite, their strategic advantage, their strategic differentiator who have bought a ticket on the bus but are wearing dark glasses, hats pulled down, overcoat collars turned up who will not answer questions and will not speak lest they be identified and their competitors catch on and try to catch the same bus to market dominance. Their absolute and committed silence speaks louder than words.
My opinion only DYOR
FF
AKIDA BALLISTA
Interesting. It's as if SiFive see Brainchip as the triage nurse, checking what just happened, which then passes the problem to the appropriate old style trained ML model running on a vector (graphics) processor.DESIGNLINES
AI & BIG DATA DESIGNLINE
SiFive and BrainChip Partner to Demo IP Compatibility
By Sally Ward-Foxton 04.20.2022 0
Share Post
SiFive and BrainChip have partnered to show their IP is compatible in SoC designs for embedded artificial intelligence (AI). The companies have demonstrated BrainChip’s neuromorphic processing unit (NPU) IP working alongside SiFive’s RISC–V host processor IP.
Brainchip’s NPU processor IP, the basis for its Akida chip, is a neuromorphic processor designed to accelerate spiking neural networks. This IP can be used to analyze inputs from most sensor types, including cameras, to provide ultra–low power analysis in real–time applications. A recent BrainChip demo showed its Akida chip in a vehicle, detecting the driver, recognizing the driver’s face, and identifying their voice simultaneously. Keyword spotting required 600 µW, facial recognition needed 22 mW, and the visual wake–word inference used to detect the driver was 6–8 mW.
ADVERTISING
SiFive is a provider of RISC–V processor IP, including its Intelligence series of multi–core capable RISC–V processors with vector extensions which are optimized for AI workloads in edge devices.
ADVERTISEMENT
SCROLL DOWN TO CONTINUE READING
“BrainChip can run [AI] algorithms on their own, but when they move into a larger system, they will need a host processor,” Chris Jones, vice president, product at SiFive, told EE Times. “You could pick a host processor that does nothing but scheduling, or you could pick a host processor that actually contributes to the AI processing, and that’s where the SiFive Intelligence product comes in.”
In an SoC design for edge AI, the AI workload would typically be split between host processor, vector processor, and AI accelerator — some parts of edge workloads are better suited to general purpose compute rather than a dedicated AI accelerator, Jones said.
“It’s advantageous for BrainChip to align with industry leaders to make sure their customers have a seamless integration experience, so BrainChip can deliver the requisite software that runs on the host processor and makes it easier for the end user to integrate their products and ours,” he said.
Jones described work done so far as the “tip of the iceberg,” adding that the two companies have so far demonstrated compatibility of BrainChip’s IP with SiFive’s RISC–V architecture. The companies will work together on an ongoing basis to further integrate software and hardware IP.
“We have ambitious plans going forward,” Jones said. “SiFive has made great strides in the last year or so, bringing vector processing to market now that [vector processing] has found its niche in AI and image signal processing.”
Part of SiFive’s plan is to build an ecosystem of AI accelerator IP providers whose products are compatible with its host processor IP.
“Our relationship with BrainChip is in no way exclusive,” Jones said. “BrainChip is the first partner we’ve gone public with, but we’re talking to many other players in this space.”
While BrainChip is the company’s first hardware IP partner, SiFive has design wins for its host processor IP, including data center AI accelerator company Tenstorrent.
“Certainly, we’re open to exploring partnerships with people who have novel technology,” he said. “Companies that are bringing IP or chips to market can’t ignore RISC–V as a platform just because of the market share we’re taking.”
Fantastic summary as always @Fact Finder. Your posts are incredibly valued by me personally and a lot of others.
buena suerte :-)
BOB Bank of Brainchip
Some good gains overnight in the US & Germany .....
BCHPY
Brainchip Holdings Ltd.
Sponsored ADR (1 ADS : 40 Ordinary)28.00
2.419.42%
28.76 / 31.36 (200 x 200)
BRCHF
Brainchip Holdings Ltd.
Ordinary Shares0.77
0.0659.22%
0.75 / 0.77 (2000 x 39835)
BRAINCHIP HOLDINGS LTD
ISIN: AU000000BRN8 | WKN: A14Z7W | Symbol: 24Y | Type: EquityOverviewChartsNewsKey DataPrice HistorySustainability
Frankfurt
WatchlistPortfolio
BuySell
DayWeek1 Month6 Months1 Year3 YearsMax.
| 20/04/22 19:13:42 | |
| Last price | 0.719 |
| Change to prev. day | +9.02% |
Fact Finder
Top 20
The following quote has long been attributed to Abraham Lincoln but in recent times it is thought he may have collected it from a French writer but whether they were his original words or not they are relevant to the campaign that the AFR, the MF, HC and others including WANCA have run against this company and as they imply eventually the above words will drown out these manipulators for:
"You can fool all the people some of the time and some of the people all the time, but you cannot fool all the people all the time."
"One can fool some men, or fool all men in some places and times, but one cannot fool all men in all places and ages."
That which is inevitable is approaching at faster and faster pace and those with patience and vision will be vindicated many times over.
My opinion only DYOR
FF
AKIDA BALLISTA
buena suerte :-)
BOB Bank of Brainchip
Sellers
Hmmmmnnn !!! 1 x share @ 0.91 :-(Orders table
| BUYERSMARKET | BUYERSVOLUME | BUYERSPRICE $ | SELLERSPRICE $ | SELLERSVOLUME | SELLERSMARKET | |
|---|---|---|---|---|---|---|
| ASX | 37,000 | 1.100 | 0.910 | 1 | ASX | |
| ASX | 16,500 | 1.100 | 0.935 | 854 | ASX | |
| ASX | 2,570 | 1.050 | 0.935 | 2,427 | ASX | |
| ASX | 2,000 | 1.000 | 0.950 | 631 | ASX | |
| ASX | 77,000 | 0.980 | 0.955 | 11,666 | ASX | |
| ASX | 2,346 | 0.980 | 0.955 | 2,446 | ASX | |
| ASX | 1,530 | 0.980 | 0.955 | 1 |
Sirod69
bavarian girl ;-)
can somebody say or find something about this ... from a brainchip follower at twitter
salespop.net
Automation: Who Is This Human Being? by Nikolaus Kimla - SalesPOP!
The topic of automation and humans is important to consider and think about because humans are the ones behind creating AI. So who is this human?
salespop.net
Fullmoonfever
Top 20
Quick surf while heading to the office and haven't had chance to register but one for the more technically adept?
Not sure what's in there....well, data sheet by looks.
Not sure what's in there....well, data sheet by looks.
T2M Akida-Scalable Neural Network AI Silicon IP | ChipEstimate.com IP Catalog
AKIDA - Neuromorphic Computing
www.chipestimate.com
The thlot pickens FF, thanks for the reminders.
>>>>>>>>>> Oh when the " SAINTS " Go marching in Chippers <<<<<<<<<
GLTAH
Akida Ballista
Hotty
Taproot
Regular
Neural computing technology leader BrainChip appoints T2M for global marketing, representation and business development
Design And Reuse - Catalog of IP Cores and Silicon on Chip solutions for IoT, Automotive, Security, RISC-V, AI, ... and Asic Design Platforms and Resources
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