BRN Discussion Ongoing

[supersonic001]

Edge Impulse on LinkedIn: What's New This Month: January 2025 Edition

🚀 Our First Newsletter of 2025 is Here! 🚀 We’re kicking off the year with some exciting updates: 🔍 Edge AI Innovations – Explore breakthroughs…

www.linkedin.com

 

[Taproot]

BrainChip Powers Cyberthreat Tool​

January 23, 2025by The Neuron

The integration of BrainChip’s ultra-low power neuromorphic AI into Quantum Ventura’s CyberNeuro-RT technology is poised to revolutionize cybersecurity protection for network access devices. By leveraging the Akida processor, this innovative solution enables on-chip learning and threat detection at the edge, providing a robust defense against cyber threats without relying on cloud-based servers or central processing units.
This collaboration has yielded a cutting-edge technology that can identify and adapt to emerging threats in real-time, utilizing BrainChip’s event-based neuromorphic principles to mimic the human brain and analyze essential sensor inputs with unparalleled efficiency and precision. As the demand for robust cybersecurity solutions continues to grow, this partnership is set to play a pivotal role in safeguarding WiFi access, home routers, small enterprise routers, and other network access devices from malicious attacks, ultimately enhancing the security and integrity of our increasingly interconnected world.

Introduction to Neuromorphic Processing for Cybersecurity​

The integration of neuromorphic processing into cybersecurity solutions has the potential to revolutionize the way threats are detected and mitigated. BrainChip Holdings Ltd, a company specializing in ultra-low power, fully digital, event-based, neuromorphic AI, has announced its collaboration with Quantum Ventura to provide cybersecurity protection for WiFi access, home routers, small enterprise routers, and other network access devices. This partnership aims to leverage the Akida processor, BrainChip’s flagship product, to facilitate on-chip learning for deployment of network-specific attack detection.
The increasing need for cybersecurity solutions that can thwart attacks through otherwise unsecure devices connected to the network has driven the development of innovative technologies like Quantum Ventura’s CyberNeuro-RT (CNRT). This technology offering, developed in partnership with Lockheed Martin Co.’s MFC Division and Pennsylvania State University, utilizes BrainChip’s neuromorphic processing capabilities to provide managed cybersecurity support for edge devices that cannot rely on a central server to identify threats and attacks due to cost or power issues. The integration of Akida into CNRT enables the detection of threats across multiple devices that would otherwise be vulnerable to exploitation.
The Akida neural processor and AI IP can identify unknown repeating patterns in vast amounts of noisy data, making it an asset in cyberthreat detection. By learning what normal network traffic patterns look like, Akida can detect malware, attack signatures, and other types of malicious activity. Its unique ability to learn on-device in a secure fashion, without the need for cloud retraining, allows it to quickly adapt to emerging threats.

Neuromorphic Processing and Cyberthreat Detection​

Neuromorphic processing, inspired by the human brain’s neural structure and function, offers a promising approach to cyberthreat detection. The Akida processor, with its event-based technology, is inherently lower power than conventional neural network accelerators, providing energy efficiency with high performance for partners to deliver AI solutions previously not possible on even battery-operated or fan-less embedded edge devices. BrainChip’s IP supports incremental learning, on-chip learning, and high-speed inference with unsurpassed performance in micro-watt to milli-watt power budgets, making it ideal for advanced AI/ML devices such as intelligent sensors, medical devices, and autonomous systems.
The integration of neuromorphic processing into cybersecurity solutions can provide high-quality protection against cyber threats. Akida’s on-chip learning can adapt to new threats and redirect unknown threats to the cloud, providing faster and more cost-efficient analysis capabilities than otherwise possible. This approach enables effective edge compute to be universally deployable across real-world applications, reducing latency while improving privacy and data security.

Edge AI and Cybersecurity​

Edge AI, which involves processing data at the point of acquisition, is becoming increasingly important in cybersecurity. The ability to analyze data locally, without relying on cloud connectivity, can significantly improve response times and reduce the risk of data breaches. BrainChip’s Akida processor, with its neuromorphic architecture, is well-suited for edge AI applications, enabling Edge learning locally to the chip, independent of the cloud.
The benefits of edge AI in cybersecurity are numerous. By processing data at the edge, latency is reduced, and real-time threat detection becomes possible. Additionally, edge AI can improve privacy and data security by minimizing the amount of sensitive data that needs to be transmitted to the cloud for analysis. As the number of connected devices continues to grow, the importance of edge AI in cybersecurity will only continue to increase.

Quantum Ventura’s CyberNeuro-RT Solution​

Quantum Ventura’s CyberNeuro-RT solution is a systems integration and environmental technology innovation company that aims to deliver customer-centric advanced solutions for U.S. Federal & State Governments and Private Sector customers. The CNRT solution, developed in partnership with BrainChip, Lockheed Martin Co.’s MFC Division, and Pennsylvania State University, utilizes neuromorphic processing to provide managed cybersecurity support for edge devices.
The CNRT solution has the potential to revolutionize the way cyber threats are detected and mitigated. By leveraging BrainChip’s Akida processor, Quantum Ventura can provide high-quality protection against cyber threats, reducing the risk of data breaches and improving overall cybersecurity posture. As the demand for effective cybersecurity solutions continues to grow, Quantum Ventura’s CNRT solution is well-positioned to meet the needs of government and private sector customers.

Conclusion​

The integration of neuromorphic processing into cybersecurity solutions has the potential to significantly improve the way threats are detected and mitigated. BrainChip’s collaboration with Quantum Ventura to provide cybersecurity protection for WiFi access, home routers, small enterprise routers, and other network access devices is a promising development in this field. As the importance of edge AI in cybersecurity continues to grow, companies like BrainChip and Quantum Ventura are well-positioned to deliver innovative solutions that meet the needs of government and private sector customers.

BrainChip Powers Cyberthreat Tool

The integration of BrainChip's ultra-low power neuromorphic AI into Quantum Ventura's CyberNeuro-RT technology is poised to revolutionize cybersecurity protection for network access devices. By leveraging the Akida processor, this innovative solution enables on-chip learning and threat detection...

quantumzeitgeist.com

 

[Taproot]

CyberNeuro-RT

www.quantumventura.com

An IoT, AI/ML-driven, highly-scalable, real-time network defense & threat intelligence tool with CPU, GPU or low-power neuromorphic chip deployment

At-the-edge Neuromorphic Processing

• Two offerings from the leading neuromorphic developers: Intel and Brainchip
• Small form factor, magnitudes less power consumption than GPU
• On-chip learning for deployment network specific attack detection

Intel Loihi

Brainchip Akida

 

[TheUnfairAdvantage]

CyberNeuro-RT

www.quantumventura.com

An IoT, AI/ML-driven, highly-scalable, real-time network defense & threat intelligence tool with CPU, GPU or low-power neuromorphic chip deployment

At-the-edge Neuromorphic Processing

• Two offerings from the leading neuromorphic developers: Intel and Brainchip
• Small form factor, magnitudes less power consumption than GPU
• On-chip learning for deployment network specific attack detection

Intel Loihi

Brainchip Akida

Interesting that the image of Intel Loihi appears in a USB form factor. Wasn’t aware Intel reduced Loihi down to this size. Last I checked it fit in a brief case

Didn’t Brainchip delay producing a USB version of Akida. Didn’t Brainchip also not tape out Akida 2.0.

 

[Boab]

CyberNeuro-RT

www.quantumventura.com

An IoT, AI/ML-driven, highly-scalable, real-time network defense & threat intelligence tool with CPU, GPU or low-power neuromorphic chip deployment

At-the-edge Neuromorphic Processing

• Two offerings from the leading neuromorphic developers: Intel and Brainchip
• Small form factor, magnitudes less power consumption than GPU
• On-chip learning for deployment network specific attack detection

Intel Loihi

Brainchip Akida

We are standing tall, shoulders back and chest out next to a behemoth. Admittedly a struggling one at the moment.
Our presence is certainly being felt.

 

[uiux]

If Intel wants to survive they can be a good boy and use their forges to produce our military grade neuromorphic chips

 

[7für7]

Why I have this strange feeling that half of the Chinese AI companies are anonymous short on brainchip?

 

[Diogenese]

Inferencing....thought to be BRN's strong suit...next frontier of AI

BZAI ....more proactive with news releases

BWI Investment in Blaize (BZAI) Highlights Efficiency as the Key to DeepSeek Advancements
Business Wire
Tue, January 28, 2025 at 6:00 AM CST 2 min read

BrainChip + RTX

In This Article:​

BZAI
+8.93%
BZAIW
+13.99%

• With DeepSeek driving market conversations, Blaize’s focus on low-cost Edge AI chips and scalable small language models positions it as a leader in inferencing—the next frontier of AI.
• Trump Calls DeepSeek AI a ‘Wake-Up Call,’ Highlights Need for Innovation in AI Methods

Emphasis mine

Hi Charles2,

As you say, inference is Akida's forte. It is built on highly efficient sparsity in both the activations and in the models which implement N:M coding.

The training of Akida's models has also become a strong point thanks to BRN's partnership with Edge Impulse, and its automatic model generation augmented by Akida's ML.

Akida's GenAI capabilities are also beginning to be built up with the inclusion of long skip in Akida 2. The ability to implement this in silicon relieves the CPU co-processor of the need to implement this in software, leaving the CPU to perform the deductive reasoning or whatever it does.

 

[JDelekto]

Interesting that the image of Intel Loihi appears in a USB form factor. Wasn’t aware Intel reduced Loihi down to this size. Last I checked it fit in a brief case

Didn’t Brainchip delay producing a USB version of Akida. Didn’t Brainchip also not tape out Akida 2.0.

The individual in sales, with whom I've exchanged e-mails recently, said they did offer a USB version at one point, but it "did not offer the right level of performance," so they don't offer it anymore.

It makes sense, considering it probably employed the earlier, slower USB specification, and their current I/O interface used by both the PCIe and NVMe devices use dual PCI lanes.

 

[Diogenese]

I agree with you. First of all, you are correct in stating that the car manufacturing is a dwindling industry. Especially now, considering the costs involved in producing vehicles.
MB stating that neuromorphic is at the infancy stage tells me, that they are working on technology that will be a game changer in the industry.
I don’t consider EV’s to be that game changer. There are currently arguments whether EV’s are good for the environment due to the fact that to produce the batteries is not very environmentally friendly.

So what could MB be working on besides EV’s with a luxury experience. To me it has to be driverless vehicles. Although, several companies are working on driverless vehicles, it has not been perfected. Google, Tesla and other companies have been working on driverless vehicles for years. What else would require extensive testing and certification?

Currently, I’m not hoping for an IP with a vehicle manufacturer. I believe it would be more beneficial for Brn to score an IP contract with a telecommunications company or a company involved with assistive aids such as: hearing aids, eye wear or technologies that get rid of eye wear, robotics, home appliances etc.

Brn are positioning themselves to play a part in every industry. Partnerships, although time consuming, are what will ensure our success in the near future, hopefully. As I have learnt, a lot of patience is required.

The AI industry is developing at such a fast pace atm, it is both scary and exciting.
Who was it that said:
“We live in exciting times”.

Just my opinion

BrainChip Powers Cyberthreat Tool​

January 23, 2025by The Neuron

The integration of BrainChip’s ultra-low power neuromorphic AI into Quantum Ventura’s CyberNeuro-RT technology is poised to revolutionize cybersecurity protection for network access devices. By leveraging the Akida processor, this innovative solution enables on-chip learning and threat detection at the edge, providing a robust defense against cyber threats without relying on cloud-based servers or central processing units.
This collaboration has yielded a cutting-edge technology that can identify and adapt to emerging threats in real-time, utilizing BrainChip’s event-based neuromorphic principles to mimic the human brain and analyze essential sensor inputs with unparalleled efficiency and precision. As the demand for robust cybersecurity solutions continues to grow, this partnership is set to play a pivotal role in safeguarding WiFi access, home routers, small enterprise routers, and other network access devices from malicious attacks, ultimately enhancing the security and integrity of our increasingly interconnected world.

Introduction to Neuromorphic Processing for Cybersecurity​

The integration of neuromorphic processing into cybersecurity solutions has the potential to revolutionize the way threats are detected and mitigated. BrainChip Holdings Ltd, a company specializing in ultra-low power, fully digital, event-based, neuromorphic AI, has announced its collaboration with Quantum Ventura to provide cybersecurity protection for WiFi access, home routers, small enterprise routers, and other network access devices. This partnership aims to leverage the Akida processor, BrainChip’s flagship product, to facilitate on-chip learning for deployment of network-specific attack detection.
The increasing need for cybersecurity solutions that can thwart attacks through otherwise unsecure devices connected to the network has driven the development of innovative technologies like Quantum Ventura’s CyberNeuro-RT (CNRT). This technology offering, developed in partnership with Lockheed Martin Co.’s MFC Division and Pennsylvania State University, utilizes BrainChip’s neuromorphic processing capabilities to provide managed cybersecurity support for edge devices that cannot rely on a central server to identify threats and attacks due to cost or power issues. The integration of Akida into CNRT enables the detection of threats across multiple devices that would otherwise be vulnerable to exploitation.
The Akida neural processor and AI IP can identify unknown repeating patterns in vast amounts of noisy data, making it an asset in cyberthreat detection. By learning what normal network traffic patterns look like, Akida can detect malware, attack signatures, and other types of malicious activity. Its unique ability to learn on-device in a secure fashion, without the need for cloud retraining, allows it to quickly adapt to emerging threats.

Neuromorphic Processing and Cyberthreat Detection​

Neuromorphic processing, inspired by the human brain’s neural structure and function, offers a promising approach to cyberthreat detection. The Akida processor, with its event-based technology, is inherently lower power than conventional neural network accelerators, providing energy efficiency with high performance for partners to deliver AI solutions previously not possible on even battery-operated or fan-less embedded edge devices. BrainChip’s IP supports incremental learning, on-chip learning, and high-speed inference with unsurpassed performance in micro-watt to milli-watt power budgets, making it ideal for advanced AI/ML devices such as intelligent sensors, medical devices, and autonomous systems.
The integration of neuromorphic processing into cybersecurity solutions can provide high-quality protection against cyber threats. Akida’s on-chip learning can adapt to new threats and redirect unknown threats to the cloud, providing faster and more cost-efficient analysis capabilities than otherwise possible. This approach enables effective edge compute to be universally deployable across real-world applications, reducing latency while improving privacy and data security.

Edge AI and Cybersecurity​

Edge AI, which involves processing data at the point of acquisition, is becoming increasingly important in cybersecurity. The ability to analyze data locally, without relying on cloud connectivity, can significantly improve response times and reduce the risk of data breaches. BrainChip’s Akida processor, with its neuromorphic architecture, is well-suited for edge AI applications, enabling Edge learning locally to the chip, independent of the cloud.
The benefits of edge AI in cybersecurity are numerous. By processing data at the edge, latency is reduced, and real-time threat detection becomes possible. Additionally, edge AI can improve privacy and data security by minimizing the amount of sensitive data that needs to be transmitted to the cloud for analysis. As the number of connected devices continues to grow, the importance of edge AI in cybersecurity will only continue to increase.

Quantum Ventura’s CyberNeuro-RT Solution​

Quantum Ventura’s CyberNeuro-RT solution is a systems integration and environmental technology innovation company that aims to deliver customer-centric advanced solutions for U.S. Federal & State Governments and Private Sector customers. The CNRT solution, developed in partnership with BrainChip, Lockheed Martin Co.’s MFC Division, and Pennsylvania State University, utilizes neuromorphic processing to provide managed cybersecurity support for edge devices.
The CNRT solution has the potential to revolutionize the way cyber threats are detected and mitigated. By leveraging BrainChip’s Akida processor, Quantum Ventura can provide high-quality protection against cyber threats, reducing the risk of data breaches and improving overall cybersecurity posture. As the demand for effective cybersecurity solutions continues to grow, Quantum Ventura’s CNRT solution is well-positioned to meet the needs of government and private sector customers.

Conclusion​

The integration of neuromorphic processing into cybersecurity solutions has the potential to significantly improve the way threats are detected and mitigated. BrainChip’s collaboration with Quantum Ventura to provide cybersecurity protection for WiFi access, home routers, small enterprise routers, and other network access devices is a promising development in this field. As the importance of edge AI in cybersecurity continues to grow, companies like BrainChip and Quantum Ventura are well-positioned to deliver innovative solutions that meet the needs of government and private sector customers.

BrainChip Powers Cyberthreat Tool

The integration of BrainChip's ultra-low power neuromorphic AI into Quantum Ventura's CyberNeuro-RT technology is poised to revolutionize cybersecurity protection for network access devices. By leveraging the Akida processor, this innovative solution enables on-chip learning and threat detection...

quantumzeitgeist.com

Agree,

It looks like there will be no Akida IP silicon in ADAS in the near future, and Akida simulation software appears to be impractical for EVs. As DB says, there's always hope it can make an appearance in infotainment.

However, the automotive NN market is dwarfed by the cybersecurity NN market. This is something I've dreamt of since the DUTH days, although I would like to see Akida in USB format for the retro-fit market.

I do think it is becoming clearer day-by-day that the IP only strategy was a strategic mistake. The barriers to entry were just too great, the time-to-market too long, and the customer base too small, particularly considering their sunk cost bias.

Hindsight, spilt milk, water under the bridge, missed opportunities - we're where we are, and the mis-steps are behind us - now we've learnt the foxtrot, we're ready to tango!

 

[Smoothsailing]

The individual in sales, with whom I've exchanged e-mails recently, said they did offer a USB version at one point, but it "did not offer the right level of performance," so they don't offer it anymore.

It makes sense, considering it probably employed the earlier, slower USB specification, and their current I/O interface used by both the PCIe and NVMe devices use dual PCI lanes.

I sent an email to BRN today asking to purchase a USB stick and a Wifi router/ modem and if they are available
Waiting for a reply now

 

[Terroni2105]

Agree,

It looks like there will be no Akida IP silicon in ADAS in the near future, and Akida simulation software appears to be impractical for EVs. As DB says, there's always hope it can make an appearance in infotainment.

However, the automotive NN market is dwarfed by the cybersecurity NN market. This is something I've dreamt of since the DUTH days, although I would like to see Akida in USB format for the retro-fit market.

I do think it is becoming clearer day-by-day that the IP only strategy was a strategic mistake. The barriers to entry were just too great, the time-to-market too long, and the customer base too small, particularly considering their sunk cost bias.

Hindsight, spilt milk, water under the bridge, missed opportunities - we're where we are, and the mis-steps are behind us - now we've learnt the foxtrot, we're ready to tango!

I agree Dio, but I think Sean reiterated again in that recent podcast interview he did that we are (still) an IP company. Someone correct me if my memory is not serving me well (I couldn’t be bothered listening to it again )

 

[HopalongPetrovski]

Agree,

It looks like there will be no Akida IP silicon in ADAS in the near future, and Akida simulation software appears to be impractical for EVs. As DB says, there's always hope it can make an appearance in infotainment.

However, the automotive NN market is dwarfed by the cybersecurity NN market. This is something I've dreamt of since the DUTH days, although I would like to see Akida in USB format for the retro-fit market.

I do think it is becoming clearer day-by-day that the IP only strategy was a strategic mistake. The barriers to entry were just too great, the time-to-market too long, and the customer base too small, particularly considering their sunk cost bias.

Hindsight, spilt milk, water under the bridge, missed opportunities - we're where we are, and the mis-steps are behind us - now we've learnt the foxtrot, we're ready to tango!

Hopefully we get there before we're all like this................

 

[Boab]

Hopefully we get there before we're all like this................

Tell me thats not a colostomy bag.

 

[HopalongPetrovski]

Tell me thats not a colostomy bag.

No, think it's where he keeps his emergency diaper.
C'mon BrainChip, whilst we can still get it up!

 

[DingoBorat]

The A.I. Model wars are intensifying, with 2 new Chinese ones introduced, in the last several hours.

One by Alibaba no less..

 

[Humble Genius]

If Intel wants to survive they can be a good boy and use their forges to produce our military grade neuromorphic chips

Even better would be for Intel to buy us out at US$5 / share. They will then become a behemoth and each and everyone of us will have atleast tripled our money. Some of us will have made 248x our investment and this is better than nothing

 

[Cyw]

Even better would be for Intel to buy us out at US$5 / share. They will then become a behemoth and each and everyone of us will have atleast tripled our money. Some of us will have made 248x our investment and this is better than nothing

Even better is Deepseek, NVidia, Microsoft, Amazon, Google and Meta sign up and buy our technology. I still think it is not if, but when.

 

[7für7]

Solid grey if you ask me

 

[Pom down under]

Solid grey if you ask me

Guess your talking about the SP and not your