Pocketchange321
Member
What the actual fuck thats so blatant, how is this not immediately punished? Like I would think they head software to track that easily? Whaaaat?
BRN Discussion Ongoing
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Baneino
Regular
"That exactly what you see when the market is not allowed to decide anything. Micro-trades every 15 seconds, always 1 share, always the same price - that's not an investor, that's a bot making its rounds.
Such behavior is often seen when either: - the order book is tested for liquidity
artificial volume is to be generated (keyword wash trading)
the price is to be kept within a narrow range in a controlled manner
Is this illegal? Not necessarily. Is it transparent? Not necessarily.
But it is a cler indication that the 'free market' does not rule here, but that an algorithm is "playing for time.
Such patterns are nothing new at BRN - especially in phases in which the news situation is calm, but movement is being prepared under the surface. You don't have to be an aluhut to recognize this: It's not a coincidence, it's a system.
As always, only the next major movement will decide whether this is good or bad. Until then, don't get nervous - just recognize the game.
The Pope
Regular
Anil mankar likes this. 
www.linkedin.com
Ever seen a 'Bread Sandwich'? | Joanne Smith
Ever seen a 'Bread Sandwich'? It’s exactly what it sounds like, just bread. No filling. And just like some bids, it ticks the boxes but leaves you wondering… where’s the flavour? More often than not I see bids that are: ‼️ Full of content ‼️ Technically accurate ‼️ Tick all the boxes... But...
Pom down under
Top 20
TENNs is a NN model, so it can be used on any NN-capable processor.
In Akida 2, the neuromorphic engines (NE) are arranged in groups of 4 to form nodes. One of the NEs is used for the TENNs model.
TENNs can operate in recurrence mode or in convolution mode.
TENNs performs inference in recurrence mode. It can be trained in convolution mode.
Had a quick scan couldn't see this posted as yet?
www.linkedin.com
Why On-Device AI Matters? | Sk Afridi Rahaman
Why On-Device AI Matters? Over the past year, BrainChip has made major strides—securing new patents and expanding its suite of Akida neuromorphic processors. Their partnerships with leading organizations like the Air Force Research Labs, Frontgrade Gaisler, and others signal strong market...
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Space Cadet
Regular
Well one of my holdings up 35% this morning. Come on BRN.
SC
SC
Fullmoonfever
Top 20
Just a positive recent article in Manufacturing Business Outlook.
Appears media & industry coverage becoming slowly more prevalent.
manufacturingbusinessoutlook.com
NewsSmart Manufacturing
ByMBO
BrainChip Holdings Ltd, the world’s first commercial producer of ultra-low power, fully digital, event-based, brain-inspired AI, has officially announced a whole new lineup of partners who are developing revolutionary technology demonstrations and products with the Akida™ Edge AI Box.
In case you weren’t aware, Akida™ Edge AI Box happens to be a compact, cutting-edge appliance which provides AI/ML processing power to support a wide variety of markets, such as manufacturing, warehouse, retail, hospitals, energy, automotive, and aviation. More on that would reveal how this particular technology actually makes for an embedded Linux solution with Ethernet, Bluetooth, and USB interfaces.
The stated integration treads up a long distance to let its underlying innovation provide a complete edge AI computing platform based on Brainchip’s Akida AKD1000 IC.
Another detail worth a mention is rooted in the solution’s pledge to put BrainChip’s event-based neural processing, capable of closely mimicking the learning ability of the human brain, into energy-efficient, portable hardware. This it does to deliver powerful AI computing performance level, a level which has consistently showed to exceed market standards for edge AI computing appliances.
Here, Dual Akida processors also step in to seamlessly perform on-chip learning, independent of the cloud, for application security, reduced training overhead, and faster learning.
Beyond its technological brilliance, the solution also offers the prospect of substantial cost efficiency. In fact, an example of that can be had once you consider it would be financially viable to deploy Akida Edge AI Box in every patient’s room to monitor their health and safety; in every store aisle to gauge shopping experience; in every car, truck, boat, or plane in the fleet to manage logistics.
Furthermore, we ought to mention that BrainChip developed the Akida Edge AI Box in partnership with VVDN Technologies, a premier electronics innovation and manufacturing company. VVDN would on to manufacture BrainChip Akida Edge AI Box Developer Kit, as well as custom versions of the product with OEMs for volume commercial applications.
All in all, BrainChip Akida can be used as an event-based computing platform ideal for early detection, low-latency solutions for robotics, drones, automotive and traditional sense-detect-classify-track solutions. Complementing the same would be Brainchip’s decision to provide range of software, hardware, and IP products for integration into existing and future designs.
“The Akida Edge Box is a great platform for running AI in standalone edge environments where footprint, cost and efficiency is critical, while not compromising performance,” said Sean Hehir, CEO of BrainChip. “We look forward to announcing more partners developing edge AI for their customers’ specific use cases and more importantly, we look forward to the ideas these companies will bring to life with the Akida Edge AI Box.”
Anyway, talk about companies that are currently leveraging this technology, we begin from the Edge AI Model training and Development space, where Edge Impulse is demonstrating how easy it is to build and deploy custom machine learning models directly on the Akida Edge AI box.
Next up, there is the field of gesture recognition. Here, BeEmotion, an innovator at the intersection of AI and human behavior that provides cutting-edge solutions, is banking on Brainchip’s technology to enhance interaction, prevent accidents, and bring enjoyment to the everyday use of technology.
Then, we have the subject of climate change, an area which is witnessing AI Labs, a pioneer in AI, robotic process automation, and software development, using Akida to forecast and gain visibility into contributors to climate change, such as emissions.
Moving on, the model evaluation field also stands to gain from Akida and that is evident in DeGirum, a leader in AI innovation with comprehensive solutions that accelerate the adoption of AI at the edge, and its successful attempt to streamline AI workflows.
Hold on, we still have a couple of bits left to unpack, as we haven’t yet touched upon how Quantum Ventura Inc., provider of advanced R&D to the federal government in fields such as machine learning, hyperspectral imaging, and cybersecurity, is leveraging Akida to enhance its CyberNeuro-RT (CNRT) technology, which happens to be an AI/ML-driven, highly-scalable, real-time network defense & threat intelligence tool.
Appears media & industry coverage becoming slowly more prevalent.
Laying the Blueprint on Using Edge AI to Support a Wide Spectrum of Industries | Manufacturing Business Outlook
BrainChip Holdings Ltd, the world’s first commercial producer of ultra-low power, fully digital, event-based, brain-inspired AI, has officially announced
manufacturingbusinessoutlook.com
Laying the Blueprint on Using Edge AI to Support a Wide Spectrum of Industries
NewsSmart Manufacturing
ByMBO
BrainChip Holdings Ltd, the world’s first commercial producer of ultra-low power, fully digital, event-based, brain-inspired AI, has officially announced a whole new lineup of partners who are developing revolutionary technology demonstrations and products with the Akida™ Edge AI Box.
In case you weren’t aware, Akida™ Edge AI Box happens to be a compact, cutting-edge appliance which provides AI/ML processing power to support a wide variety of markets, such as manufacturing, warehouse, retail, hospitals, energy, automotive, and aviation. More on that would reveal how this particular technology actually makes for an embedded Linux solution with Ethernet, Bluetooth, and USB interfaces.
The stated integration treads up a long distance to let its underlying innovation provide a complete edge AI computing platform based on Brainchip’s Akida AKD1000 IC.
Another detail worth a mention is rooted in the solution’s pledge to put BrainChip’s event-based neural processing, capable of closely mimicking the learning ability of the human brain, into energy-efficient, portable hardware. This it does to deliver powerful AI computing performance level, a level which has consistently showed to exceed market standards for edge AI computing appliances.
Here, Dual Akida processors also step in to seamlessly perform on-chip learning, independent of the cloud, for application security, reduced training overhead, and faster learning.
Beyond its technological brilliance, the solution also offers the prospect of substantial cost efficiency. In fact, an example of that can be had once you consider it would be financially viable to deploy Akida Edge AI Box in every patient’s room to monitor their health and safety; in every store aisle to gauge shopping experience; in every car, truck, boat, or plane in the fleet to manage logistics.
Furthermore, we ought to mention that BrainChip developed the Akida Edge AI Box in partnership with VVDN Technologies, a premier electronics innovation and manufacturing company. VVDN would on to manufacture BrainChip Akida Edge AI Box Developer Kit, as well as custom versions of the product with OEMs for volume commercial applications.
All in all, BrainChip Akida can be used as an event-based computing platform ideal for early detection, low-latency solutions for robotics, drones, automotive and traditional sense-detect-classify-track solutions. Complementing the same would be Brainchip’s decision to provide range of software, hardware, and IP products for integration into existing and future designs.
“The Akida Edge Box is a great platform for running AI in standalone edge environments where footprint, cost and efficiency is critical, while not compromising performance,” said Sean Hehir, CEO of BrainChip. “We look forward to announcing more partners developing edge AI for their customers’ specific use cases and more importantly, we look forward to the ideas these companies will bring to life with the Akida Edge AI Box.”
Anyway, talk about companies that are currently leveraging this technology, we begin from the Edge AI Model training and Development space, where Edge Impulse is demonstrating how easy it is to build and deploy custom machine learning models directly on the Akida Edge AI box.
Next up, there is the field of gesture recognition. Here, BeEmotion, an innovator at the intersection of AI and human behavior that provides cutting-edge solutions, is banking on Brainchip’s technology to enhance interaction, prevent accidents, and bring enjoyment to the everyday use of technology.
Then, we have the subject of climate change, an area which is witnessing AI Labs, a pioneer in AI, robotic process automation, and software development, using Akida to forecast and gain visibility into contributors to climate change, such as emissions.
Moving on, the model evaluation field also stands to gain from Akida and that is evident in DeGirum, a leader in AI innovation with comprehensive solutions that accelerate the adoption of AI at the edge, and its successful attempt to streamline AI workflows.
Hold on, we still have a couple of bits left to unpack, as we haven’t yet touched upon how Quantum Ventura Inc., provider of advanced R&D to the federal government in fields such as machine learning, hyperspectral imaging, and cybersecurity, is leveraging Akida to enhance its CyberNeuro-RT (CNRT) technology, which happens to be an AI/ML-driven, highly-scalable, real-time network defense & threat intelligence tool.
Fullmoonfever
Top 20
I see this staff member has been working closely with VVDN, Edge Impulse, Onsor and also Teksun.
Laguna Hills, California, United States
Solutions Architect | Edge AI & Neuromorphic Systems | AI Productization | Strategic Ecosystem Enablement
As a Machine Learning Solutions Architect, I operate at the intersection of AI innovation and customer success—leading the integration of BrainChip’s neuromorphic IP and metaTF platform into diverse partner ecosystems. My core responsibility is to empower customers to bring AI workloads from proof-of-concept to production, offering architectural guidance, hands-on onboarding, and deep technical support.
I’ve worked closely with ecosystem partners like VVDN, Edge Impulse (now part of Qualcomm), TekSun, and ONSOR to co-develop edge AI solutions, including a fully production-grade EdgeBox with custom model deployment pipelines and system-level optimizations. From migrating ML pipelines (Python → C++) to training engineers on model quantization, deployment, and tuning, I ensure partner teams are equipped to deliver performant, low-power AI systems at scale.
Beyond individual projects, I contribute to partnership strategy, ecosystem alignment, and long-term platform adoption—bridging engineering and business teams to accelerate go-to-market outcomes.
Key Skills: Solution Design, Integration, & Adoption | Feature & Debugging Session Leadership | Extract, Transform, Load (ETL) | Time Series Analysis | Issue Identification & Resolution
Bajana sai chaithanya varma
Machine Learning Engineer | Solutions Architect | AI/ML, GenAI, & Neuromorphic AI | Data Transformation & Optimization | Technical Demos & POC Creation | Continuous Process Improvement | Cross-Functional Collaboration
BrainChip Arizona State University
Machine Learning Solutions Architect
BrainChip
Mar 2022 - Present 3 years 6 monthsLaguna Hills, California, United States
Solutions Architect | Edge AI & Neuromorphic Systems | AI Productization | Strategic Ecosystem EnablementAs a Machine Learning Solutions Architect, I operate at the intersection of AI innovation and customer success—leading the integration of BrainChip’s neuromorphic IP and metaTF platform into diverse partner ecosystems. My core responsibility is to empower customers to bring AI workloads from proof-of-concept to production, offering architectural guidance, hands-on onboarding, and deep technical support.
I’ve worked closely with ecosystem partners like VVDN, Edge Impulse (now part of Qualcomm), TekSun, and ONSOR to co-develop edge AI solutions, including a fully production-grade EdgeBox with custom model deployment pipelines and system-level optimizations. From migrating ML pipelines (Python → C++) to training engineers on model quantization, deployment, and tuning, I ensure partner teams are equipped to deliver performant, low-power AI systems at scale.
Beyond individual projects, I contribute to partnership strategy, ecosystem alignment, and long-term platform adoption—bridging engineering and business teams to accelerate go-to-market outcomes.
Key Skills: Solution Design, Integration, & Adoption | Feature & Debugging Session Leadership | Extract, Transform, Load (ETL) | Time Series Analysis | Issue Identification & Resolution
Fullmoonfever
Top 20
Another industry body reposting recently on the HaiLa partnership.
www.linkedin.com
ASSOCIATION OF ELECTRONIC INDUSTRIES IN SINGAPORE (AEIS)
1,088 followers
1w
BrainChip and HaiLa Technologies have teamed up to demonstrate an ultra-low-power edge AI solution using BrainChip’s Akida™ AKD1500 processor and HaiLa’s BSC2000 backscatter Wi-Fi RFIC. This breakthrough enables always-on AI-powered #sensors that run on microwatts of power—potentially for years on a single coin-cell battery. Showcased at Sensors Converge 2025, the solution brings powerful edge AI to IoT and industrial monitoring with minimal energy use. Read more: https://lnkd.in/geS4Z-zp
Learn how AEIS supports innovation in edge AI and IoT at www.aeis.org.sg #EdgeAI #IoT #LowPower #WirelessTech #EnergyEfficiency #SensorTech #AEIS
Partnership demos ultra-low-power edge AI connectivity - Electronic Productshttps://www.electronicproducts.com
BrainChip and HaiLa Technologies have teamed up to demonstrate an ultra-low-power edge AI solution using BrainChip’s Akida™ AKD1500 processor and HaiLa’s BSC2000 backscatter Wi-Fi RFIC. | ASSOCIATION OF ELECTRONIC INDUSTRIES IN SINGAPORE (AEIS)
BrainChip and HaiLa Technologies have teamed up to demonstrate an ultra-low-power edge AI solution using BrainChip’s Akida™ AKD1500 processor and HaiLa’s BSC2000 backscatter Wi-Fi RFIC. This breakthrough enables always-on AI-powered #sensors that run on microwatts of power—potentially for years...
ASSOCIATION OF ELECTRONIC INDUSTRIES IN SINGAPORE (AEIS)
1,088 followers
1w
BrainChip and HaiLa Technologies have teamed up to demonstrate an ultra-low-power edge AI solution using BrainChip’s Akida™ AKD1500 processor and HaiLa’s BSC2000 backscatter Wi-Fi RFIC. This breakthrough enables always-on AI-powered #sensors that run on microwatts of power—potentially for years on a single coin-cell battery. Showcased at Sensors Converge 2025, the solution brings powerful edge AI to IoT and industrial monitoring with minimal energy use. Read more: https://lnkd.in/geS4Z-zp
Learn how AEIS supports innovation in edge AI and IoT at www.aeis.org.sg #EdgeAI #IoT #LowPower #WirelessTech #EnergyEfficiency #SensorTech #AEISSo he is looking for a new job, it seems.I see this staff member has been working closely with VVDN, Edge Impulse, Onsor and also Teksun.
Bajana sai chaithanya varma
Machine Learning Engineer | Solutions Architect | AI/ML, GenAI, & Neuromorphic AI | Data Transformation & Optimization | Technical Demos & POC Creation | Continuous Process Improvement | Cross-Functional Collaboration
BrainChip Arizona State University
Machine Learning Solutions Architect
BrainChip
Mar 2022 - Present 3 years 6 months
Laguna Hills, California, United States
As a Machine Learning Solutions Architect, I operate at the intersection of AI innovation and customer success—leading the integration of BrainChip’s neuromorphic IP and metaTF platform into diverse partner ecosystems. My core responsibility is to empower customers to bring AI workloads from proof-of-concept to production, offering architectural guidance, hands-on onboarding, and deep technical support.
I’ve worked closely with ecosystem partners like VVDN, Edge Impulse (now part of Qualcomm), TekSun, and ONSOR to co-develop edge AI solutions, including a fully production-grade EdgeBox with custom model deployment pipelines and system-level optimizations. From migrating ML pipelines (Python → C++) to training engineers on model quantization, deployment, and tuning, I ensure partner teams are equipped to deliver performant, low-power AI systems at scale.
Beyond individual projects, I contribute to partnership strategy, ecosystem alignment, and long-term platform adoption—bridging engineering and business teams to accelerate go-to-market outcomes.
Key Skills: Solution Design, Integration, & Adoption | Feature & Debugging Session Leadership | Extract, Transform, Load (ETL) | Time Series Analysis | Issue Identification & Resolution
Open for work!
But it's interesting to see whom he has been working for and what he was doing with those partners, nice detective work!
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Found this on the other place.
You can rent 1 week cloud access for US$5000 as per below. I guess they are done giving free freebies. Maybe too many basements "specialist" was playing around? Ha-ha I don't know honestly, but a big company don't care so much about 5 grand. But we also don't know for how long this has been in place for?
One way of generating a bit of income, I guess.
shop.brainchipinc.com
You can rent 1 week cloud access for US$5000 as per below. I guess they are done giving free freebies. Maybe too many basements "specialist" was playing around? Ha-ha I don't know honestly, but a big company don't care so much about 5 grand. But we also don't know for how long this has been in place for?
One way of generating a bit of income, I guess.
1 Week Cloud Access
AkidaTM Cloud is a service that provides a pre-configured environment for system and chip designers to evaluate the efficiency and performance of neural models
Fullmoonfever
Top 20
I guess the industry is pretty fluid from what we here and maybe his engagement has been more project based which might be winding up nearer term?
Who knows I suppose.
Exactly! Cockroaches
Mazewolf
Regular
Nope, time shadow from +12monthsAccidentally looked at the wrong column and saw 2.5 ….thought we hit AUD 2.50 for a moment.
Nope. Just the percent gain. Back to reality.
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