CHIPS
Regular
I don't have any problems with this thread here.
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
I don't have any problems with this thread here.
Pom down under
Top 20
They are all creeping out of the woodwork
Hi SC,
I had a similar problem a while back. I found that I had inadvertently put the thread's originator, Techgirl, on ignore. I reversed that and it became visible again. Good luck!
Samod
Smoothsailing
Regular
Yes, same problem Tech girl pops up.
As for Nintendo since BRN is an IP and can be updated without changing hardware each time , wouldn’t it make sense from the Nintendos bosses point of view to integrate us now in preparation for bettering their AI in the device along the way ?
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Frangipani
Top 20
The subcontractor referred to in the AFRL contract was so obviously going to be Raytheon/RTX… 
www.linkedin.com
brainchip.com
Laguna Hills, Calif. – April 1st, 2025 – 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 is partnering with Raytheon Company, an RTX (NYSE: RTX) business, to service a contract for $1.8M from the Air Force Research Laboratory on neuromorphic radar signaling processing.
Raytheon Company will deliver services and support as a partner with BrainChip for the completion of the contract award. The Air Force Research Labs contract, under the topic number AF242-D015, is titled “Mapping Complex Sensor Signal Processing Algorithms onto Neuromorphic Chips.” The project focuses on a specific type of radar processing known as micro-Doppler signature analysis, which offers unprecedented activity discrimination capabilities.
Neuromorphic hardware represents a low-power solution for edge devices, consuming significantly less energy than traditional computing hardware for signal processing and artificial intelligence tasks. If successful, this project could embed sophisticated radar processing solutions in power-constrained and thermally constrained weapon systems, such as missiles, drones and drone defense systems.
BrainChip’s Akida™ processor is a revolutionary computing architecture that is designed to process neural networks and machine learning algorithms at ultra-low power consumption, making it ideal for edge computing applications. The company’s neuromorphic technology improves the cognitive communication capabilities on size, weight and power & cost (SWaP-C)-constrained platforms such as military, spacecraft and robotics for commercial and government markets.
“Radar signaling processing will be implemented on ever-smaller mobile platforms, so minimizing system SWaP-C is critical,” said Sean Hehir, CEO of BrainChip. “This improved radar signaling performance per watt for the Air Force Research Laboratory showcases how neuromorphic computing can achieve significant benefits in the most mission-critical use cases.”
About BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY)
BrainChip is the worldwide leader in Edge AI on-chip processing and learning. The company’s first-to-market, fully digital, event-based AI processor, AkidaTM, uses neuromorphic principles to mimic the human brain, analyzing only essential sensor inputs at the point of acquisition, processing data with unparalleled efficiency, precision, and economy of energy. Akida uniquely enables Edge learning local to the chip, independent of the cloud, dramatically reducing latency while improving privacy and data security. Akida Neural processor IP, which can be integrated into SoCs on any process technology, has shown substantial benefits on today’s workloads and networks, and offers a platform for developers to create, tune and run their models using standard AI workflows like TensorFlow/Keras. In enabling effective Edge compute to be universally deployable across real world applications such as connected cars, consumer electronics, and industrial IoT, BrainChip is proving that on-chip AI, close to the sensor, is the future, for its customers’ products, as well as the planet. Explore the benefits of Essential AI at www.brainchip.com.
#edgeai #neuromorphic #radarai | BrainChip
BrainChip is proud to announce a collaboration with Raytheon, an RTX business, in support of a U.S. Air Force contract focused on advancing neuromorphic radar…
BrainChip Partners with RTX’s Raytheon for AFRL Radar Contract
BrainChip Partners with RTX’s Raytheon for AFRL Radar Contract Laguna Hills, Calif. – April 1st, 2025 – 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 is...
brainchip.com
BrainChip Partners with RTX’s Raytheon for AFRL Radar Contract
Laguna Hills, Calif. – April 1st, 2025 – 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 is partnering with Raytheon Company, an RTX (NYSE: RTX) business, to service a contract for $1.8M from the Air Force Research Laboratory on neuromorphic radar signaling processing.
Raytheon Company will deliver services and support as a partner with BrainChip for the completion of the contract award. The Air Force Research Labs contract, under the topic number AF242-D015, is titled “Mapping Complex Sensor Signal Processing Algorithms onto Neuromorphic Chips.” The project focuses on a specific type of radar processing known as micro-Doppler signature analysis, which offers unprecedented activity discrimination capabilities.
Neuromorphic hardware represents a low-power solution for edge devices, consuming significantly less energy than traditional computing hardware for signal processing and artificial intelligence tasks. If successful, this project could embed sophisticated radar processing solutions in power-constrained and thermally constrained weapon systems, such as missiles, drones and drone defense systems.
BrainChip’s Akida™ processor is a revolutionary computing architecture that is designed to process neural networks and machine learning algorithms at ultra-low power consumption, making it ideal for edge computing applications. The company’s neuromorphic technology improves the cognitive communication capabilities on size, weight and power & cost (SWaP-C)-constrained platforms such as military, spacecraft and robotics for commercial and government markets.
“Radar signaling processing will be implemented on ever-smaller mobile platforms, so minimizing system SWaP-C is critical,” said Sean Hehir, CEO of BrainChip. “This improved radar signaling performance per watt for the Air Force Research Laboratory showcases how neuromorphic computing can achieve significant benefits in the most mission-critical use cases.”
About BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY)
BrainChip is the worldwide leader in Edge AI on-chip processing and learning. The company’s first-to-market, fully digital, event-based AI processor, AkidaTM, uses neuromorphic principles to mimic the human brain, analyzing only essential sensor inputs at the point of acquisition, processing data with unparalleled efficiency, precision, and economy of energy. Akida uniquely enables Edge learning local to the chip, independent of the cloud, dramatically reducing latency while improving privacy and data security. Akida Neural processor IP, which can be integrated into SoCs on any process technology, has shown substantial benefits on today’s workloads and networks, and offers a platform for developers to create, tune and run their models using standard AI workflows like TensorFlow/Keras. In enabling effective Edge compute to be universally deployable across real world applications such as connected cars, consumer electronics, and industrial IoT, BrainChip is proving that on-chip AI, close to the sensor, is the future, for its customers’ products, as well as the planet. Explore the benefits of Essential AI at www.brainchip.com.
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toasty
Regular
I wonder (hope) whether this will be a catalyst for other "collaborators" to come out from behind the wall of NDA's??The subcontractor referred to in the AFRL contract was so obviously going to be Raytheon/RTX…
#edgeai #neuromorphic #radarai | BrainChip
BrainChip is proud to announce a collaboration with Raytheon, an RTX business, in support of a U.S. Air Force contract focused on advancing neuromorphic radar…
View attachment 81052
BrainChip Partners with RTX’s Raytheon for AFRL Radar Contract
BrainChip Partners with RTX’s Raytheon for AFRL Radar Contract Laguna Hills, Calif. – April 1st, 2025 – 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 is...
BrainChip Partners with RTX’s Raytheon for AFRL Radar Contract
Laguna Hills, Calif. – April 1st, 2025 – 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 is partnering with Raytheon Company, an RTX (NYSE: RTX) business, to service a contract for $1.8M from the Air Force Research Laboratory on neuromorphic radar signaling processing.
Raytheon Company will deliver services and support as a partner with BrainChip for the completion of the contract award. The Air Force Research Labs contract, under the topic number AF242-D015, is titled “Mapping Complex Sensor Signal Processing Algorithms onto Neuromorphic Chips.” The project focuses on a specific type of radar processing known as micro-Doppler signature analysis, which offers unprecedented activity discrimination capabilities.
Neuromorphic hardware represents a low-power solution for edge devices, consuming significantly less energy than traditional computing hardware for signal processing and artificial intelligence tasks. If successful, this project could embed sophisticated radar processing solutions in power-constrained and thermally constrained weapon systems, such as missiles, drones and drone defense systems.
BrainChip’s Akida™ processor is a revolutionary computing architecture that is designed to process neural networks and machine learning algorithms at ultra-low power consumption, making it ideal for edge computing applications. The company’s neuromorphic technology improves the cognitive communication capabilities on size, weight and power & cost (SWaP-C)-constrained platforms such as military, spacecraft and robotics for commercial and government markets.
“Radar signaling processing will be implemented on ever-smaller mobile platforms, so minimizing system SWaP-C is critical,” said Sean Hehir, CEO of BrainChip. “This improved radar signaling performance per watt for the Air Force Research Laboratory showcases how neuromorphic computing can achieve significant benefits in the most mission-critical use cases.”
About BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY)
BrainChip is the worldwide leader in Edge AI on-chip processing and learning. The company’s first-to-market, fully digital, event-based AI processor, AkidaTM, uses neuromorphic principles to mimic the human brain, analyzing only essential sensor inputs at the point of acquisition, processing data with unparalleled efficiency, precision, and economy of energy. Akida uniquely enables Edge learning local to the chip, independent of the cloud, dramatically reducing latency while improving privacy and data security. Akida Neural processor IP, which can be integrated into SoCs on any process technology, has shown substantial benefits on today’s workloads and networks, and offers a platform for developers to create, tune and run their models using standard AI workflows like TensorFlow/Keras. In enabling effective Edge compute to be universally deployable across real world applications such as connected cars, consumer electronics, and industrial IoT, BrainChip is proving that on-chip AI, close to the sensor, is the future, for its customers’ products, as well as the planet. Explore the benefits of Essential AI at www.brainchip.com.
perceptron
Regular
This is great news. Well done team. 
supersonic001
Regular
#edgeai #neuromorphic #radarai | BrainChip
BrainChip is proud to announce a collaboration with Raytheon, an RTX business, in support of a U.S. Air Force contract focused on advancing neuromorphic radar signal processing. The contract is titled “Mapping Complex Sensor Signal Processing Algorithms onto Neuromorphic Chips" and focuses on...
FJ-215
Regular
So the RTX news is not worthy of an ASX announcement even though the signing of a subcontractor was a necessary requirement. From Appendix 4C & Quarterly Activities Report for the Period Ended 31 December 2024
"BrainChip is currently in negotiations with a major defence industry contractor, to enter into a sub-
contractor agreement for the completion of the contract award."
WTF
"BrainChip is currently in negotiations with a major defence industry contractor, to enter into a sub-
contractor agreement for the completion of the contract award."
WTF
toasty
Regular
I think its pretty clear that SH and the board want as little to do with the ASX as humanly possible. Never mind that BRN is, in fact, an Australian company..................
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toasty
Regular
A random thought just made its way through the fog. What if the redomiciling proposal is because RTX wants a wider defence/aerospace partnership but needs BRN to be a US company?#edgeai #neuromorphic #radarai | BrainChip
BrainChip is proud to announce a collaboration with Raytheon, an RTX business, in support of a U.S. Air Force contract focused on advancing neuromorphic radar signal processing. The contract is titled “Mapping Complex Sensor Signal Processing Algorithms onto Neuromorphic Chips" and focuses on...
View attachment 81053
FJ-215
Regular
Sadly the board also don't seem to want to support the SP during this call on LDA. Going to be lucky to raise $9M at this rate.I think its pretty clear that SH and the board want as little to do with the ASX as humanly possible. Never mind that BRN is, in fact, an Australian company..................
Oh well, just keep issuing more shares I guess.
TheDrooben
Pretty Pretty Pretty Pretty Good
FWIW..........
HAPPY AS LARRY - STILL BUYING
HAPPY AS LARRY - STILL BUYING
This is how Sean will sell it to sh. If we are not US listed we won't get any grants etc. We'll look into dual listing's Sean
buena suerte :-)
BOB Bank of Brainchip
In Sydney May 7th.. Day after the AGM!!!
Hoping we get something 'very positive' over the next 4/5 weeks!....
Hoping we get something 'very positive' over the next 4/5 weeks!....
And Europe, what if they want purely European companies? India, only Indian companies and so on
Bravo
If ARM was an arm, BRN would be its biceps💪!
Neuromorphic computing: the future of AI
Kyle Dickman Science Writer
Neuromorphic computing, the next generation of AI, will be smaller, faster, and more efficient than the human brain.
March 31, 2025Artificial intelligence loves electricity. By one estimate, the cost to power the world’s large language models (LLMs) will surpass the gross domestic product of the United States by 2027. That’s an estimated annual electricity bill of 25 trillion dollars, and while that’s probably an overestimate, the point is: current AI is an energy hog. To counter this, researchers at Los Alamos and across the Department of Energy (DOE) are trying to develop AI that can operate on just 20 watts—the same amount of electricity that powers two LED lightbulbs for 24 hours and roughly the amount of energy consumed by the human brain each day. If successful, the approach is a pathway to AI that’s scalable and mirrors the adaptability of natural intelligence. “We could make a mosquito-sized drone as smart as a mosquito,” says Garrett Kenyon, a computational neurologist at the Lab who specializes in AI. Kenyon calls this still-experimental idea the next generation of AI.
At the core of this AI evolution is neuromorphic computing, a paradigm inspired by the human brain’s structure and function. Unlike current AI models, which rely on binary supercomputers to process billions or even trillions of parameters, neuromorphic systems use energy-efficient electrical and photonic networks modeled after biological neural networks. In Kenyon’s words, these networks use physical hardware to mimic nature’s most efficient and powerful inference and prediction engine. “Human brains can change based on their interpretation of the world,” says Kenyon. “AI, currently, can’t.”
To illustrate this shortcoming of LLMs, one that Kenyon hopes neuromorphic AI can help solve, he references a group of technological pranksters that recently tricked self-driving cars. They flashed the cars with t-shirts emblazoned with STOP signs. The cars, unable to discern context, responded by stopping, demonstrating the deterministic nature of current AI algorithms. The car’s behavior is a product of feed-forward processing. “I see a STOP sign, therefore I stop.” Neuromorphic computers, like biological networks, are designed to process information through feedback loops and context-driven checks. “I see a STOP sign. But that STOP sign is on a t-shirt. I drive on—cheeky kid.”
“The next wave of AI will be a marriage of physics and neuroscience,” says Kenyon. In September, he helped run the DOE’s 2024 Neuromorphic Computing for Science Workshop to prioritize which projects should receive funding through the 2021CHIPS and Science Act, which allocated 280 billion dollars toward, among other things, reestablishing American dominance in computing. At the conference, neuromorphic computing experts from around the country tackled questions such as: Should scientists start by reverse engineering an insect brain or a mouse brain? Which emerging low-energy microprocessors, like the memristors being developed now at the Lab’s Center for Integrated Nanotechnologies, are future systems most likely to use? Can existing supercomputers be used to better model neuromorphic computers before significant resources are committed to building them?
Currently, large neuromorphic computers feature just over a billion neurons connected by a bit more than 100 billion synaptic connections. The human brain has 100 trillion synaptic connections. But Kenyon and his collaborators at institutions including the University of Michigan and Pacific Northwest National Laboratory view these relatively small machines as proof that neuromorphic computing can be scaled to brain-level complexity. “Once we’re able to implement the full process of creating these networks in a commercial foundry, we can scale to very large systems quickly,” says Jeff Shainline, a collaborator of Kenyon’s who works at the National Institute of Standards and Technology. In other words, once you’ve fabricated one neuron, it’s not that much harder to fabricate a million. The scientists’ near-term goal is to build out a design for a neuromorphic computer that sits within a two square meter box and houses as many neurons as the human cerebral cortex. Calculations suggest this computer could operate between 250,000–1,000,000 times faster than a biological brain and use just 10 kilowatts of power, a bit more than a home air conditioning unit.
Kenyon believes this work is laying a path toward an advanced version of neuromorphic AI, one that consumes far less energy than current AI and behaves much more like the intelligence that’s trying to design it.
People also ask
- What is neuromorphic computing? A nascent and promising branch of computing, neuromorphic computing aims to mimic the structure and function of the human brain. Powered by highly efficient artificial synapses and neurons, like the roughly virus-sized memristor circuits developed at the Los Alamos-based Center for Integrated Nanotechnology, a neuromorphic approach could deliver a future where computers consume as much energy as the human brain—and are every bit as powerful.
- How does neuromorphic computing work? Neuromorphic computers are based on the biology of the brain, which in humans is packed with 100 billion neurons. Though the most advanced computers are still just a fraction of the human brain’s complexity, they work in a similar way, with timed electrical signals used to process information in networks of artificial neurons.
DingoBorat
Slim
The sheer size of the US market, outshines any other markets.And Europe, what if they want purely European companies? India, only Indian companies and so on
The fact that we have had these 2 recent US military developmental partnerships, strengthened with ISL and now with Raytheon, with Trump's America First policies, is effing huge!
America has it's own neuromorphic offerings and although obviously not yet commercial, that can easily be changed, especially with a leg up, for a struggling Intel.
But they've said...
"Nope, we need these Aussie guys, AKIDA thing."
The implications of us being chosen, over a home grown solution, for US military "now" should be a huge boost in the confidence of shareholders, for what is to come.
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