The answer given here is by a user of this platform and HC.The question was asked why BRN wasn’t included, the answer below.
Thanks for repeating, but I already understood. Are you German, if I may ask? Or do you live in Germany?Well that shows you have misunderstood my answer. I was stating that there are also smart people on that forum too and that the chatter at times can go in either direction now and then. Meaning don't sweat the small stuff. You don't want to start flooding the forum over there with gifs. If you cannot answer someone over there I'm sure someone else on that forum can because I've seen some good answers and responses over there.
https://www.srcinc.com/products/int...ondor-high-performance-embeded-computing.html
Agile Condor® High-Performance Embedded Computing
The Agile Condor high-performance embedded computing (HPEC) architecture offers sensor-agnostic, on-board, real-time data processing to deliver actionable intelligence to the warfighter.
Originally designed to fly in a pod-based enclosure onboard RPA, the Agile Condor system comprises advanced hardware, software and processing algorithms that can deliver super-computer-like performance in extremely size, weight and power (SWaP) constrained environments, whether in the air, in space, on land or at sea
Utilizing high-performance embedded computing, agile condor, for intelligent processing: An artificial intelligence platform for remotely piloted aircraft | Semantic Scholar
For the first time ever, and in real-time, the Agile Condor system demonstrated: image processing, video processing and pattern recognition through the use of deep convolutional neural networks. A newly invented, high performance, pod-based computer architecture, called Agile Condor (patent...www.semanticscholar.org
View attachment 76671
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https://bascomhunter.com/products-s...c-processors/asic-solutions/3u-vpx-snap-card/
3U VPX SNAP Card
Bascom Hunter’s SNAP Card (Spiking Neuromorphic Advanced Processor) is a high-performance 3U OpenVPX AI/ML processor built for rugged, mission-critical environments. The card is SOSA-aligned, HOST-compatible, and conduction cooled. It combines a Xilinx UltraScale+ RFSoC FPGA with five BrainChipAKD1000 spiking neuromorphic processors to achieve the best of both signal processing and neuromorphic computing – featuring a total of 6million neurons and 50 billion synapses across the card. Unlike traditional machine learning accelerators such as GPUs or TPUs, neuromorphic processors are designed to mimic the biological efficiency of the human brain, allowing the SNAP Card to run multiple ML models in parallel at exceptionally low power — just 1W per model — without sacrificing speed or accuracy while the FPGA enhances input/output operations and performs any desired signal processing tasks. This combination in a rugged, interoperable, and military-hardened package makes Bascom Hunter’s SNAP Card the ideal solution for the concurrent and parallel processing of real-time, multi-modal, and multi sensor data on autonomous, unattended, denied, or otherwise battery constrained military systems.
View attachment 76673
– Automated Target Recognition (ATR) on full motion video feeds and imagery (to include 4k and higher)
– Real-time detection and identification of threat radars and their acquisition/operating modes
– Detection of FISINT (Foreign Instrumentation Signature Intelligence) and/or hacking across the airframe’s 1553 communications bus
– Perform communications analysis to include speech-to-text and foreign language translation of intercepted communications
– Fuse multiple infrared cameras (e.g., SWIR, MWIR, LWIR) to provide a combined infrared operating picture on the ground Multi-user, simultaneous modulation/demodulation
-------
Compare the advertised feature set of the Bascom Hunter product with the features highlighted in the Agile Condor promo video:
https://www.srcinc.com/products/int...ondor-high-performance-embeded-computing.html
Agile Condor® High-Performance Embedded Computing
The Agile Condor high-performance embedded computing (HPEC) architecture offers sensor-agnostic, on-board, real-time data processing to deliver actionable intelligence to the warfighter.
Originally designed to fly in a pod-based enclosure onboard RPA, the Agile Condor system comprises advanced hardware, software and processing algorithms that can deliver super-computer-like performance in extremely size, weight and power (SWaP) constrained environments, whether in the air, in space, on land or at sea
Utilizing high-performance embedded computing, agile condor, for intelligent processing: An artificial intelligence platform for remotely piloted aircraft | Semantic Scholar
For the first time ever, and in real-time, the Agile Condor system demonstrated: image processing, video processing and pattern recognition through the use of deep convolutional neural networks. A newly invented, high performance, pod-based computer architecture, called Agile Condor (patent...www.semanticscholar.org
View attachment 76671
-------
https://bascomhunter.com/products-s...c-processors/asic-solutions/3u-vpx-snap-card/
3U VPX SNAP Card
Bascom Hunter’s SNAP Card (Spiking Neuromorphic Advanced Processor) is a high-performance 3U OpenVPX AI/ML processor built for rugged, mission-critical environments. The card is SOSA-aligned, HOST-compatible, and conduction cooled. It combines a Xilinx UltraScale+ RFSoC FPGA with five BrainChipAKD1000 spiking neuromorphic processors to achieve the best of both signal processing and neuromorphic computing – featuring a total of 6million neurons and 50 billion synapses across the card. Unlike traditional machine learning accelerators such as GPUs or TPUs, neuromorphic processors are designed to mimic the biological efficiency of the human brain, allowing the SNAP Card to run multiple ML models in parallel at exceptionally low power — just 1W per model — without sacrificing speed or accuracy while the FPGA enhances input/output operations and performs any desired signal processing tasks. This combination in a rugged, interoperable, and military-hardened package makes Bascom Hunter’s SNAP Card the ideal solution for the concurrent and parallel processing of real-time, multi-modal, and multi sensor data on autonomous, unattended, denied, or otherwise battery constrained military systems.
View attachment 76673
– Automated Target Recognition (ATR) on full motion video feeds and imagery (to include 4k and higher)
– Real-time detection and identification of threat radars and their acquisition/operating modes
– Detection of FISINT (Foreign Instrumentation Signature Intelligence) and/or hacking across the airframe’s 1553 communications bus
– Perform communications analysis to include speech-to-text and foreign language translation of intercepted communications
– Fuse multiple infrared cameras (e.g., SWIR, MWIR, LWIR) to provide a combined infrared operating picture on the ground Multi-user, simultaneous modulation/demodulation
-------
Compare the advertised feature set of the Bascom Hunter product with the features highlighted in the Agile Condor promo video:
https://www.srcinc.com/products/int...ondor-high-performance-embeded-computing.html
Agile Condor® High-Performance Embedded Computing
The Agile Condor high-performance embedded computing (HPEC) architecture offers sensor-agnostic, on-board, real-time data processing to deliver actionable intelligence to the warfighter.
Originally designed to fly in a pod-based enclosure onboard RPA, the Agile Condor system comprises advanced hardware, software and processing algorithms that can deliver super-computer-like performance in extremely size, weight and power (SWaP) constrained environments, whether in the air, in space, on land or at sea
Utilizing high-performance embedded computing, agile condor, for intelligent processing: An artificial intelligence platform for remotely piloted aircraft | Semantic Scholar
For the first time ever, and in real-time, the Agile Condor system demonstrated: image processing, video processing and pattern recognition through the use of deep convolutional neural networks. A newly invented, high performance, pod-based computer architecture, called Agile Condor (patent...www.semanticscholar.org
View attachment 76671
-------
https://bascomhunter.com/products-s...c-processors/asic-solutions/3u-vpx-snap-card/
3U VPX SNAP Card
Bascom Hunter’s SNAP Card (Spiking Neuromorphic Advanced Processor) is a high-performance 3U OpenVPX AI/ML processor built for rugged, mission-critical environments. The card is SOSA-aligned, HOST-compatible, and conduction cooled. It combines a Xilinx UltraScale+ RFSoC FPGA with five BrainChipAKD1000 spiking neuromorphic processors to achieve the best of both signal processing and neuromorphic computing – featuring a total of 6million neurons and 50 billion synapses across the card. Unlike traditional machine learning accelerators such as GPUs or TPUs, neuromorphic processors are designed to mimic the biological efficiency of the human brain, allowing the SNAP Card to run multiple ML models in parallel at exceptionally low power — just 1W per model — without sacrificing speed or accuracy while the FPGA enhances input/output operations and performs any desired signal processing tasks. This combination in a rugged, interoperable, and military-hardened package makes Bascom Hunter’s SNAP Card the ideal solution for the concurrent and parallel processing of real-time, multi-modal, and multi sensor data on autonomous, unattended, denied, or otherwise battery constrained military systems.
View attachment 76673
– Automated Target Recognition (ATR) on full motion video feeds and imagery (to include 4k and higher)
– Real-time detection and identification of threat radars and their acquisition/operating modes
– Detection of FISINT (Foreign Instrumentation Signature Intelligence) and/or hacking across the airframe’s 1553 communications bus
– Perform communications analysis to include speech-to-text and foreign language translation of intercepted communications
– Fuse multiple infrared cameras (e.g., SWIR, MWIR, LWIR) to provide a combined infrared operating picture on the ground Multi-user, simultaneous modulation/demodulation
-------
Compare the advertised feature set of the Bascom Hunter product with the features highlighted in the Agile Condor promo video:
And arduino is working with axelera togetherThey are working with megachips and arm together
Axelera AI - Extreme Performance, Excellent Efficiency. Accelerating Inference at the Edge.
Bring data insights to the edge, increasing the performance of your solutions with a cost-effective and efficient inference chip. Axelera’s AI processing unit is designed to seamlessly integrate into your innovations so you can focus on your customer!www.axelera.ai
https://www.srcinc.com/products/int...ondor-high-performance-embeded-computing.html
Agile Condor® High-Performance Embedded Computing
The Agile Condor high-performance embedded computing (HPEC) architecture offers sensor-agnostic, on-board, real-time data processing to deliver actionable intelligence to the warfighter.
Originally designed to fly in a pod-based enclosure onboard RPA, the Agile Condor system comprises advanced hardware, software and processing algorithms that can deliver super-computer-like performance in extremely size, weight and power (SWaP) constrained environments, whether in the air, in space, on land or at sea
Utilizing high-performance embedded computing, agile condor, for intelligent processing: An artificial intelligence platform for remotely piloted aircraft | Semantic Scholar
For the first time ever, and in real-time, the Agile Condor system demonstrated: image processing, video processing and pattern recognition through the use of deep convolutional neural networks. A newly invented, high performance, pod-based computer architecture, called Agile Condor (patent...www.semanticscholar.org
View attachment 76671
-------
https://bascomhunter.com/products-s...c-processors/asic-solutions/3u-vpx-snap-card/
3U VPX SNAP Card
Bascom Hunter’s SNAP Card (Spiking Neuromorphic Advanced Processor) is a high-performance 3U OpenVPX AI/ML processor built for rugged, mission-critical environments. The card is SOSA-aligned, HOST-compatible, and conduction cooled. It combines a Xilinx UltraScale+ RFSoC FPGA with five BrainChipAKD1000 spiking neuromorphic processors to achieve the best of both signal processing and neuromorphic computing – featuring a total of 6million neurons and 50 billion synapses across the card. Unlike traditional machine learning accelerators such as GPUs or TPUs, neuromorphic processors are designed to mimic the biological efficiency of the human brain, allowing the SNAP Card to run multiple ML models in parallel at exceptionally low power — just 1W per model — without sacrificing speed or accuracy while the FPGA enhances input/output operations and performs any desired signal processing tasks. This combination in a rugged, interoperable, and military-hardened package makes Bascom Hunter’s SNAP Card the ideal solution for the concurrent and parallel processing of real-time, multi-modal, and multi sensor data on autonomous, unattended, denied, or otherwise battery constrained military systems.
View attachment 76673
– Automated Target Recognition (ATR) on full motion video feeds and imagery (to include 4k and higher)
– Real-time detection and identification of threat radars and their acquisition/operating modes
– Detection of FISINT (Foreign Instrumentation Signature Intelligence) and/or hacking across the airframe’s 1553 communications bus
– Perform communications analysis to include speech-to-text and foreign language translation of intercepted communications
– Fuse multiple infrared cameras (e.g., SWIR, MWIR, LWIR) to provide a combined infrared operating picture on the ground Multi-user, simultaneous modulation/demodulation
-------
Compare the advertised feature set of the Bascom Hunter product with the features highlighted in the Agile Condor promo video:
But if you are ambidextrous, you need 2 differrent screwdrivers.
Again @manny100 I think you’re underplaying our situation a bit. Of course BRN won’t be a NVidia we play in different markets (for now). The edge, the way I see it is a much bigger opportunity than data centre domination; the edge will unfold with so much ‘surface area’ of potential use cases and opportunities that haven’t been thought of yet. If BRN secures 1% of a multi-trillion dollar edge industry which will also include the space industry where we already know we are going to dominate then that’s 1% of trillions! I’m sure it’ll finish up being much more than 1% too. AIMO.The knockers on HC are largely traders who try to push the price down to the lowest support level.
They are still going in hard.
No ceiling on a share price for me.
We have a global reach just like NVIDIA. We have an SOI of 2 billion , NVIDIA have an SOI of about 25 billion.
If NVIDIA had only 2 bill SOI like us instead of being $US147.22 last night they would have been around $US1850 per share.
So, NVIDIA may be sky high in revenue and net earnings but the enormous SOI holds them back. Even if we get to 10% of NVIDIA then SOI to SOI comparatively today our US share price would be $US185, 1% of NVIDIA would see us at $US18.50 per share today.
Not saying we will be anything like NVIDIA but by US standards our SOI is not that high so we only need to be a little NVIDIA to do well SP wise.
Given the Edge is likely to be big we should aim for a least little plus.
Dreaming but maybe FF's $A40 or even $US40 is not unachievable - market willing and BRN performs as we expect.
Our SOI is likely to grow a bit over time as well.
Its likely as the Edge grows we will see the inevitable 'Edge' share market bubble at some point.
One of my favourite musicians of all time has come back from the dead to help the BRN cause. What a synergy!!Can find it in this thread
Just realized yours was for the MDA....
What's the bet that MDA wants to protect their neuromorphic satellite payloads and the space based infrastructure with neuromorphic cyber security.......
https://thestockexchange.com.au/threads/hypersonic.1094/
Quantum Ventura also teamed with Lockheed Martin for "Hypersonic Threat Detection" using bio-inspired processing, neuromorphic computing and Advanced AI
Also interesting is this one which seems more focused on sensors:
https://web.archive.org/web/20210413022958/https://www.sbir.gov/node/1713521
Autonomous Missile Detection using Bio-Inspired Sensors
OBJECTIVE:
Develop innovative designs for a bio-inspired sensor that is optimized for autonomously detecting, identifying, tracking, and reporting dim missile threats in cluttered and noisy scenes.
It's interesting when it references research from a Thomas Petty:
5. D. Scribner, T. Petty and P. Mui, "Neuromorphic readout integrated circuits and related spike-based image processing," 2017 IEEE International Symposium on Circuits and Systems (ISCAS), Baltimore, MD, 2017, pp. 1-4.
https://patentscope.wipo.int/search/en/detail.jsf?docId=US300738519
US20200249080 - OPTICAL INFORMATION COLLECTION SYSTEM
Applicants
THOMAS EDMUND PETTY
NORTHROP GRUMMAN SYSTEMS CORPORATION
Abstract
An optical information collection system includes a neuromorphic sensor to collect optical information from a scene in response to change in photon flux detected at a plurality of photoreceptors of the neuromorphic sensor. A sensor stimulator stimulates a subset of the plurality of photoreceptors according to an eye movement pattern in response to a control command. A controller generates the control command that includes instructions to execute the eye movement pattern
View attachment 76656
Who had some early engagement with BrainChip on Linked in:
https://www.linkedin.com/posts/loud...ntelligence-activity-6610404160271601665-ADx0
View attachment 76655
What if you are ambidextrous and all thumbs?But if you are ambidextrous, you need 2 differrent screwdrivers.
Beat me to itTom Petty. Program manager in advanced electronics. That's quite the pivot.
Yep, just using examples to show if we keep our SOI in reasonable check and the market is huge we should do very, very well. Sean is on record of saying BRN in a decade aim to be in the top 2 or 3 leaders in the Edge industry. If that is the case we should have a decent chunk of the market and a very decent SP. A lot of course has to go right for us.Again @manny100 I think you’re underplaying our situation a bit. Of course BRN won’t be a NVidia we play in different markets (for now). The edge, the way I see it is a much bigger opportunity than data centre domination; the edge will unfold with so much ‘surface area’ of potential use cases and opportunities that haven’t been thought of yet. If BRN secures 1% of a multi-trillion dollar edge industry which will also include the space industry where we already know we are going to dominate then that’s 1% of trillions! I’m sure it’ll finish up being much more than 1% too. AIMO.
Don't you dare bag chicken salt.Afternoon Chippers ,
May have been posted before...
New partner in crime , ANDES TECHNOLOGY,
Apparently their partners have integrated & shipped over 12 BILLION with their secret seasoning incorporated.
*Correction, over 14 billion SOC.
Chicken salt is old school , time for a flavour revolution...
AKIDA BALLISTA , exhibiting umami character.
Andes Technology - Wikipedia
en.m.wikipedia.org
Regards,
Esq.