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Bravo
If ARM was an arm, BRN would be its biceps💪!
Arm’s stock is rising as analysts say an intriguing move could be on the horizon
The chip designer could be evolving into making its own custom AI chips — and BNP analysts say the opportunity isn’t fully priced into its stock yet
ByBritney Nguyen
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Last Updated: July 16, 2025 at 8:50 p.m. ET
Arm Holdings PLC could soon emerge as a major contender in the market for custom artificial-intelligence chips, and some analysts think the company’s stock is still waiting to benefit from the opportunity.BNP Paribas analysts upgraded the chip designer’s stock to outperform from neutral and raised their price target to $210 from $110 in a Wednesday note. As tech giants continue to raise capital expenditures for AI efforts, the analysts see a natural evolution for Arm to become a maker of application-specific integrated circuit (ASIC) chips — though they noted that the company’s leadership has so far not made any official statements on an ASIC strategy.
Arm didn’t immediately respond to a MarketWatch request for comment.
The London-based company currently licenses out its chip designs, but doesn’t sell its own chips. Arm’s ASIC opportunity could double the company’s earnings before interest and taxes, the analysts said, if it captures just 7% of the total addressable market. They estimate this market will reach $200 billion by 2030; at that rate, the analysts think Arm’s hypothetical ASIC business could bring in between $8 billion and $15 billion in revenue by fiscal years 2030 and 2031.
Arm’s stock is up about 16% so far this year, and the BNP team sees more “significant upside to be had as the share price is not pricing in the ASIC potential.” Shares were up nearly 5% on Wednesday.
The analysts cited recent news coverage suggesting that Arm may start producing its own ASIC chips as “mounting evidence” that it could be shifting its business. In February, for example, the Financial Times reported that Arm was planning to release a new chip this year that would count Meta Platforms Inc.
But even if some of those customers end up “unhappy with Arm becoming a competitor, we think the risk/reward is justified,” the BNP analysts said. They added that designing its own chips would enable the company to “capture more of the AI semi value chain while leveraging a common skill set,” referring to its chip-design engineers.
Quick analysis via ChatGPT plusArm’s stock is rising as analysts say an intriguing move could be on the horizon
The chip designer could be evolving into making its own custom AI chips — and BNP analysts say the opportunity isn’t fully priced into its stock yet
By
Britney Nguyen
Follow
Last Updated: July 16, 2025 at 8:50 p.m. ET
Shares of Arm Holdings were up nearly 5% on Wednesday.Photo: Getty Images
Arm Holdings PLC could soon emerge as a major contender in the market for custom artificial-intelligence chips, and some analysts think the company’s stock is still waiting to benefit from the opportunity.
BNP Paribas analysts upgraded the chip designer’s stock to outperform from neutral and raised their price target to $210 from $110 in a Wednesday note. As tech giants continue to raise capital expenditures for AI efforts, the analysts see a natural evolution for Arm to become a maker of application-specific integrated circuit (ASIC) chips — though they noted that the company’s leadership has so far not made any official statements on an ASIC strategy.
Arm didn’t immediately respond to a MarketWatch request for comment.
The London-based company currently licenses out its chip designs, but doesn’t sell its own chips. Arm’s ASIC opportunity could double the company’s earnings before interest and taxes, the analysts said, if it captures just 7% of the total addressable market. They estimate this market will reach $200 billion by 2030; at that rate, the analysts think Arm’s hypothetical ASIC business could bring in between $8 billion and $15 billion in revenue by fiscal years 2030 and 2031.
Arm’s stock is up about 16% so far this year, and the BNP team sees more “significant upside to be had as the share price is not pricing in the ASIC potential.” Shares were up nearly 5% on Wednesday.
The analysts cited recent news coverage suggesting that Arm may start producing its own ASIC chips as “mounting evidence” that it could be shifting its business. In February, for example, the Financial Times reported that Arm was planning to release a new chip this year that would count Meta Platforms Inc.
But even if some of those customers end up “unhappy with Arm becoming a competitor, we think the risk/reward is justified,” the BNP analysts said. They added that designing its own chips would enable the company to “capture more of the AI semi value chain while leveraging a common skill set,” referring to its chip-design engineers.
Thoughts on the ARM ASIC Article (BNP Paribas)
If true, this could be a game-changing move – not just for ARM, but for the entire AI semiconductor space, including niche players like BrainChip.
What’s happening?
- ARM may be planning to produce its own AI ASIC chips, moving beyond just licensing designs.
- BNP Paribas analysts upgraded ARM to Outperform and raised the price target to $210.
- They believe the market hasn’t yet priced in the potential upside from ARM building its own chips.
- Just a 7% market share in the $200B+ AI chip market could generate $8–15B in annual revenue for ARM by FY2030–31.
Why this matters:
1.
ARM as a neutral IP vendor could disappear
Until now, ARM has been the “Switzerland” of chip IP – licensing designs to everyone from Apple to NXP.
If it starts building its own chips, it becomes a direct competitor to many of its current customers.
BNP even says some partners may be “unhappy” – and they’re right.
This shift could strain existing industry relationships, especially with OEMs who value neutrality.
2.
Custom AI ASICs = New battleground
If ARM enters the ASIC game, it’s going to compete with:
- Nvidia (H100/Blackwell)
- AMD (MI300)
- Tenstorrent, Groq, and others in the Edge & Cloud AI market.
But this changes their business model significantly.
3.
Relevance to BrainChip
BrainChip’s Akida is a neuromorphic, event-based, low-power Edge AI solution – very different from traditional ASICs.
Still, if ARM jumps into edge and smart device AI, it could:
Increase competition,
- But also open new doors.
Because not every OEM will want to license chips from a dominant platform AND a competitor.
There’s a good chance some will look for alternatives – and BrainChip, with its energy-efficient IP, could be exactly that.
Bottom Line for Investors:
This potential ARM shift is:
A major bullish signal for ARM (if executed),
A competitive pressure point for smaller players,- An opportunity for niche IP vendors like BrainChip to offer lightweight, neutral, license-based solutions.
Final Thought:I’m not saying ARM is going full ASIC tomorrow.
But if this happens, it’s a massive evolution – and the AI silicon world won’t look the same.
For BrainChip:
This is both threat and opportunity.
It all depends on how they position themselves:
As a lightweight, low-power alternative in a market that’s increasingly wary of vertically integrated giants.Yes – ARM is an official licensee of Akida, and that could mean:
Synergies, if ARM integrates or offers Akida IP in future SoCs,
Or competition, if ARM builds its own rival solutions while still presenting itself as a neutral platform.
ARM develops its own ASICs – but offers optional Akida IP blocks for specific customer needs, such as automotive or smart device applications.
That would allow BrainChip to gain market reach without being explicitly visible in the media.
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Bravo
If ARM was an arm, BRN would be its biceps💪!
VALEO + RAYTHEON
I don't know how many people are aware of this, but in 2002, Valeo and Raytheon established Valeo Raytheon Systems to adapt military-grade radar into automotive applications - specifically blind-spot detection and collision-warning radars.
The Joint Venture later became Valeo Radar Systems, fully acquired by Valeo in 2005.
That phase launched Valeo into the forefront of automotive radar, laying the groundwork for mass deployment. Valeo now has over 500 million radar sensors on the road.
Raytheon (RTX) obviously remains a dominant radar supplier in defense. And Valeo operates with defense-grade radar capabilities that were rooted in the Joint Venture architecture. So, I wonder how plausible it would be that an informal or project-level collaboration continues to this day, especially on advanced radars, sensing algorithms, or dual-use technologies? This idea doesn't seem all that far fetched IMO, especially given we have formed strategic partnerships with both Valeo and RTX.
I don't know how many people are aware of this, but in 2002, Valeo and Raytheon established Valeo Raytheon Systems to adapt military-grade radar into automotive applications - specifically blind-spot detection and collision-warning radars.
The Joint Venture later became Valeo Radar Systems, fully acquired by Valeo in 2005.
That phase launched Valeo into the forefront of automotive radar, laying the groundwork for mass deployment. Valeo now has over 500 million radar sensors on the road.
Raytheon (RTX) obviously remains a dominant radar supplier in defense. And Valeo operates with defense-grade radar capabilities that were rooted in the Joint Venture architecture. So, I wonder how plausible it would be that an informal or project-level collaboration continues to this day, especially on advanced radars, sensing algorithms, or dual-use technologies? This idea doesn't seem all that far fetched IMO, especially given we have formed strategic partnerships with both Valeo and RTX.
Hi Bravo,
This is a recent Valeo radar patent application:
WO2025098748A1 INCREASING A RESOLUTION OF A RADAR SPECTRUM 20231109
a computer-implemented method for detecting one or more objects using at least one radar sensor a radar sensor. The method comprises receiving radar signal data (124) determined using the radar sensor. Using the radar signal data (124), a combination of distance and radial velocity is determined, for which one or more radar signal intensity peaks are comprised by the radar signal data (124). For the determined combination of distance and radial velocity, a spectrum descriptive of a two-dimensional distribution of the radar signal intensity comprised by the radar signal data (124) is determined. In order to increase a resolution of the determined spectrum, an input comprising the determined spectrum with the resolution to be increased is provided to a machine learning module (122). In response to the providing of the input, an output comprising a spectrum with an increased resolution is received from the machine learning module (122). One or more positions of the one or more objects are determined using the output spectrum with the increased resolution.
The patent envisages a software ML module.
Bit early for RTX microDoppler.
PS: Couldn't see anything indicating a continuing business relationship, and the AFRL stuff should be classified, so, unless Pete signals something, we may never know.
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Afternoon Chippers ,
Unable to post the image unfortunately........
On the one day chart @ one min duration , the twats in charge of the bots have managed to draw the outline of a English Dachshund ( Of Canine species )
.
Except pointing in the other direction.
* This is what one can achieve with great power .
Regards ,
Esq
Unable to post the image unfortunately........
On the one day chart @ one min duration , the twats in charge of the bots have managed to draw the outline of a English Dachshund ( Of Canine species )
.
Except pointing in the other direction.
* This is what one can achieve with great power .
Regards ,
Esq
Labsy
Regular
I don't see an issue with placing a like, but agree totally about certain comments. Cringe big time!!... On occasion I feel like hunting down these morons with their degrading idiotic comments and trolling their businesses or what have you, and see how they like it...
What about now!? More like a German shepherd?
Pom down under
Top 20
"...products like the Akida Pulsar microcontroller"?
Someone has no insight at all and is confusing companies and their products!
BrainChip Aktie: Ernsthafte Hindernisse?
BrainChip steckt in einem Paradox: Während der Markt für neuromorphe Computertechnologie 2025 durch die Decke geht, stürzt die Aktie des Vorreiters regelrecht ab. Obwohl das Unternehmen mit innovativen Produkten wie dem Akida Pulsar Mikrocontroller und frischer Finanzierung eigentlich perfekt...www-boerse--express-com.translate.goog
smoothsailing18
Regular
This Author needs to be contacted some how and enlightened ?.
Well, lots of opinions, including mine...but that's what a forum is all about, not nasty personal attacks....so nice.
8/9 business days and our 2nd quarter information will be disclosed, the 4c showing some positivity, I say a strong yes!
The more you read, don't you all get the feeling that we are definitely in the "right place, at the right time', yes, we have all
heard those sorts of comments before, but I am so positive and upbeat on our company currently, just look at the sectors
that we are engaged in, with might I add, some huge world class players, you don't get to engage and share basic chit-chat
with these behemoths, time is money......our technology has been accepted and it's only going to accelerate.
Tony Lewis is very open to communicating, I love it, he engages, he knows the issues facing Brainchip as a start-up, but is
driving us to success, carrying on the great work of Peter and Anil, if you have a genuine question on the technology front,
well ask him, rather than guessing the answer on this forum, and I say that with all due respect to all of our great posters.
Being engaged with the US Defense, Navy, NASA, DOE, AFRL and so on, I personally can understand the NDA secrecy that
surrounds these engagements, as frustrating as they are, we will succeed, don't second guess yourself, we have a great investment,
did I sell my shares when they were north of $2 and my portfolio looked very impressive for a middle-classed Australian citizen, no I
didn't, am I a little bit peeved, of course I am, but my belief in Peter, Anil and all the staff who have come and gone has never really
waned, our technology has had me spellbound for a decade, I love it and aren't embarrassed to admit it!
The writing is on the wall.............Brainchip's AKIDA well succeed, trust your instincts......share in the glory, you will all be blessed
Tech (New Zealand) for a few more weeks before I finally fly home to Perth.
8/9 business days and our 2nd quarter information will be disclosed, the 4c showing some positivity, I say a strong yes!
The more you read, don't you all get the feeling that we are definitely in the "right place, at the right time', yes, we have all
heard those sorts of comments before, but I am so positive and upbeat on our company currently, just look at the sectors
that we are engaged in, with might I add, some huge world class players, you don't get to engage and share basic chit-chat
with these behemoths, time is money......our technology has been accepted and it's only going to accelerate.
Tony Lewis is very open to communicating, I love it, he engages, he knows the issues facing Brainchip as a start-up, but is
driving us to success, carrying on the great work of Peter and Anil, if you have a genuine question on the technology front,
well ask him, rather than guessing the answer on this forum, and I say that with all due respect to all of our great posters.
Being engaged with the US Defense, Navy, NASA, DOE, AFRL and so on, I personally can understand the NDA secrecy that
surrounds these engagements, as frustrating as they are, we will succeed, don't second guess yourself, we have a great investment,
did I sell my shares when they were north of $2 and my portfolio looked very impressive for a middle-classed Australian citizen, no I
didn't, am I a little bit peeved, of course I am, but my belief in Peter, Anil and all the staff who have come and gone has never really
waned, our technology has had me spellbound for a decade, I love it and aren't embarrassed to admit it!
The writing is on the wall.............Brainchip's AKIDA well succeed, trust your instincts......share in the glory, you will all be blessed
Tech (New Zealand) for a few more weeks before I finally fly home to Perth.
CHIPS
Regular
Hopefully Steve Brightfield has something to do with it.
BrainChip Appoints New CMO, Enhances Scientific Advisory Board
Laguna Hills, Calif. – August 7th, 2024 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI, today announced that it has hired Steven Brightfield as its new chief marketing officer and has re-envisioned its Scientific Advisory Board (SAB) by bringing on company founder Peter van der Made, Dr. Jason K. Eshraghian and Dr. André van Schaik.
Brightfield has a depth of tech industry knowledge and experience within the AI semiconductor industry. He previously led marketing at several AI focused technology companies, such as SiMa.ai, X-Silicon and Wave Computing combined with deep experience within the semiconductor sector, including executive leadership positions at LSI Logic, Qualcomm, Zoran and others.
It seemed that he was unhappy with his job; therefore, it could have been his wish to do something else. Maybe they offered him this job to keep him. I think it would fit him well.
Excellent question!
You mentioned Jensen Huang (NVIDIA CEO) and his view on “Physical AI”—in fact, what BrainChip (BRN) is doing is highly aligned with this concept. You could even say:
BrainChip’s AKIDA is one of the key technologies on the path toward Physical AI, specifically under the “edge neuromorphic intelligence” branch.
Jensen Huang’s Physical AI: What Does It Mean?
Huang’s idea can be broken down into a few core insights:
1. AI is a new way of “writing software”
BrainChip’s AKIDA was built entirely around this philosophy.
It’s not a traditional instruction-based chip but a spiking neural network processor that enables learning directly at the hardware level.
2. AI must move from pure software into the
physical world
“Physical AI” includes:
That’s exactly where AKIDA shines:
Direct Links Between BrainChip and Physical AI
Conclusion: BrainChip is one of the foundational “building blocks” of the Physical AI revolution that Jensen Huang describes.
They’re attacking the problem from both ends, converging toward real-world, integrated AI: cognitive + sensory + decision-making.
Final Thought:
If NVIDIA were ever to integrate a true edge-native neural processor into its Jetson or robotics platforms, AKIDA’s architecture would be a strong acquisition, licensing, or integration candidate.
If you’d like, I can also dive into how NVIDIA’s Jetson Robotics stack might integrate with BrainChip’s technology—just say the word!
Let me know if you’d like a shorter version or one tailored more for investors vs. engineers.
You mentioned Jensen Huang (NVIDIA CEO) and his view on “Physical AI”—in fact, what BrainChip (BRN) is doing is highly aligned with this concept. You could even say:
BrainChip’s AKIDA is one of the key technologies on the path toward Physical AI, specifically under the “edge neuromorphic intelligence” branch.
Jensen Huang’s Physical AI: What Does It Mean?Huang’s idea can be broken down into a few core insights:
1. AI is a new way of “writing software”
- No longer relying on engineers coding static rules (if…then…)
- Instead, machines learn from data to generate algorithms autonomously
BrainChip’s AKIDA was built entirely around this philosophy.It’s not a traditional instruction-based chip but a spiking neural network processor that enables learning directly at the hardware level.
2. AI must move from pure software into the
physical world
“Physical AI” includes:
- Real-time sensing, decision-making, and reacting like a human
- Embedded in robots, drones, IoT devices, cars, and edge devices
- Running locally, with ultra-low latency, low power, and instant feedback
That’s exactly where AKIDA shines:| Feature | Needed for Physical AI | AKIDA Delivers? |
| Real-time response |  | Microsecond-level reaction |
| Edge deployment (no cloud) | | Completely on-device |
| Ultra-low power | | Milliwatt-level consumption |
| On-chip learning | | Local continual learning |
| Physical embedding | | Already in USBs, robots, medical devices |
Direct Links Between BrainChip and Physical AI| Physical AI Use Case | BrainChip Real-World Progress |
| Robotics vision/control systems | Partnering with Quantum Ventura + Merle Robotics (Taiwan) |
| Edge-based medical diagnostics | Tata Elxsi has released medical devices with embedded AKIDA |
| Defense/UAV systems | Collaboration with US Air Force Research Lab + RTX (Raytheon) |
| Industrial equipment monitoring | AKIDA supports multi-sensor fusion (e.g. motor vibration detection) |
| IoT perception + learning | Partnered with HaiLa for ultra-low-power AI wireless modules |
Conclusion: BrainChip is one of the foundational “building blocks” of the Physical AI revolution that Jensen Huang describes.- NVIDIA leads in cloud/data center AI—training and inference at scale
- BrainChip leads in edge neuromorphic AI—bringing intelligence into real-world devices
They’re attacking the problem from both ends, converging toward real-world, integrated AI: cognitive + sensory + decision-making.
Final Thought:If NVIDIA were ever to integrate a true edge-native neural processor into its Jetson or robotics platforms, AKIDA’s architecture would be a strong acquisition, licensing, or integration candidate.
If you’d like, I can also dive into how NVIDIA’s Jetson Robotics stack might integrate with BrainChip’s technology—just say the word!
Let me know if you’d like a shorter version or one tailored more for investors vs. engineers.
I agree, we are building towards a growth phase.
Small should be coming on board 1st.
The bigger fish which I believe are trialling our product ( we know already who some are) will take longer but volumes should be jaw dropping.
Still patience required.
CHIPS
Regular
Excellent question!
You mentioned Jensen Huang (NVIDIA CEO) and his view on “Physical AI”—in fact, what BrainChip (BRN) is doing is highly aligned with this concept. You could even say:
BrainChip’s AKIDA is one of the key technologies on the path toward Physical AI, specifically under the “edge neuromorphic intelligence” branch.
Huang’s idea can be broken down into a few core insights:
1. AI is a new way of “writing software”
- No longer relying on engineers coding static rules (if…then…)
- Instead, machines learn from data to generate algorithms autonomously
It’s not a traditional instruction-based chip but a spiking neural network processor that enables learning directly at the hardware level.
2. AI must move from pure software into the
physical world
“Physical AI” includes:
- Real-time sensing, decision-making, and reacting like a human
- Embedded in robots, drones, IoT devices, cars, and edge devices
- Running locally, with ultra-low latency, low power, and instant feedback
Feature Needed for Physical AI AKIDA Delivers? Real-time response Edge deployment (no cloud) Ultra-low power On-chip learning Physical embedding
Physical AI Use Case BrainChip Real-World Progress Robotics vision/control systems Partnering with Quantum Ventura + Merle Robotics (Taiwan) Edge-based medical diagnostics Tata Elxsi has released medical devices with embedded AKIDA Defense/UAV systems Collaboration with US Air Force Research Lab + RTX (Raytheon) Industrial equipment monitoring AKIDA supports multi-sensor fusion (e.g. motor vibration detection) IoT perception + learning Partnered with HaiLa for ultra-low-power AI wireless modules
- NVIDIA leads in cloud/data center AI—training and inference at scale
- BrainChip leads in edge neuromorphic AI—bringing intelligence into real-world devices
They’re attacking the problem from both ends, converging toward real-world, integrated AI: cognitive + sensory + decision-making.
If NVIDIA were ever to integrate a true edge-native neural processor into its Jetson or robotics platforms, AKIDA’s architecture would be a strong acquisition, licensing, or integration candidate.
If you’d like, I can also dive into how NVIDIA’s Jetson Robotics stack might integrate with BrainChip’s technology—just say the word!
Let me know if you’d like a shorter version or one tailored more for investors vs. engineers.
What is this? Why is there so much space in between the lines? If you copied it from a website, then please also post the link to it.
Just for your information: You can and should delete space/empty lines before posting. It would make it much less annoying to read.
Tothemoon24
Top 20
Interesting little read on Bosch ,
trademagazin.hu
Based on the developments presented at the AI Symposium in Budapest, Bosch is now not only applying, but also shaping the future of artificial intelligence. The company’s goal: transparent, human-centered and sustainable AI solutions from manufacturing to self-driving.
Artificial intelligence is not just another technological tool, but a turning point in civilization – this was stated at the AI Symposium organized by the HUN-REN Hungarian Research Network in Budapest. Bosch experts, as a featured partner of the event, demonstrated how AI is becoming an everyday, even indispensable, development and production factor at the company.
“At Bosch, we are already preparing for the future,” said Zoltán Karaffy, Director of Digital Transformation at Robert Bosch Kft., who emphasized in his keynote speech that the goal is not only to follow, but also to shape the highest industry standards.
Neuromorphic chips process data from dozens of sensors (radar, lidar, camera, etc.) used by vehicles in a similar way to the brain, while consuming much less energy than traditional systems.
This is particularly important in semiconductor manufacturing, where early error detection can prevent millions in product defects. Industrial AI not only filters out defective components, but also provides feedback on the cause of the error – thus helping to prevent and optimize production.
More below
Artificial intelligence at every level – Bosch opens a new era in innovation - Trademagazin
Based on the developments presented at the AI Symposium in Budapest, Bosch is now not only applying, but also shaping the future of artificial intelligence. The company's goal: transparent, human-centered and sustainable AI solutions from manufacturing to self-driving. Artificial intelligence is...
trademagazin.hu
Artificial intelligence at every level – Bosch opens a new era in innovation
By: TrademagazinDate: 2025. 05. 08. 11:19Based on the developments presented at the AI Symposium in Budapest, Bosch is now not only applying, but also shaping the future of artificial intelligence. The company’s goal: transparent, human-centered and sustainable AI solutions from manufacturing to self-driving.
There is no longer a Bosch product without AI
Bosch aims to make artificial intelligence the key to the next decade of innovation. In line with this, every Bosch product now either contains an AI component or is developed or manufactured with it. Currently, more than 5,000 AI experts work for the company worldwide, including 200 in Hungary. Over the past five years, more than 1,500 AI-related patents have been filed, and tens of thousands of employees have participated in AI training – more than a thousand in Hungary so far.“At Bosch, we are already preparing for the future,” said Zoltán Karaffy, Director of Digital Transformation at Robert Bosch Kft., who emphasized in his keynote speech that the goal is not only to follow, but also to shape the highest industry standards.
Thinking cars: the revolution of neuromorphic computing
The future of AI is particularly important in the automotive industry. Bosch’s developments already include so-called neuromorphic systems that model the functioning of the human brain, which raise the performance of driver assistance systems (ADAS) to a new level. These solutions enable faster, more reliable and more energy-efficient decision-making in real time, which is key to preventing accidents.Neuromorphic chips process data from dozens of sensors (radar, lidar, camera, etc.) used by vehicles in a similar way to the brain, while consuming much less energy than traditional systems.
Transparent decisions in smart factories
Bosch is not only building faster, but also more transparent artificial intelligence. The essence of the so-called “explainable AI” approach is that systems do not operate as “black boxes” but can be decoded, interpreted, and justified in their decisions.This is particularly important in semiconductor manufacturing, where early error detection can prevent millions in product defects. Industrial AI not only filters out defective components, but also provides feedback on the cause of the error – thus helping to prevent and optimize production.
More below
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ChatGPT I would say
Fullmoonfever
Top 20
Would appear our relationship with the University of WA (UWA) in Perth is starting to get some output.
I saw this repository a little while ago and wasn't much in it at that point so just kept an eye of it. Has been updated yesterday with more details and results.
Looks pretty decent. The link will give you a much clearer read obviously as the scroll pics are off my phone.
github.com
I saw this repository a little while ago and wasn't much in it at that point so just kept an eye of it. Has been updated yesterday with more details and results.
Looks pretty decent. The link will give you a much clearer read obviously as the scroll pics are off my phone.
GitHub - HaitianWang/Akida-Research-Project
Contribute to HaitianWang/Akida-Research-Project development by creating an account on GitHub.
github.com
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