Appears to be a diff basket if you look at the general heading of the tables imo.Thought I’d remembered someone asking about this but in a previous presentation the information wasn’t blank. I wonder why they left it blank in the last presentation?
View attachment 59656 View attachment 59657
Unless it's a generic casing / form factor and fan opening is there for other board set ups internally that do run hot?So now it's got a fan?
View attachment 59682
The NXP i.MX 8M Plus Quad SOC must have been running hot.
https://shop.brainchipinc.com/products/akida™-edge-ai-box
www.gizchina.com/2024/03/21/samsung-mach-1-ai-chip/amp/
"Samsung’s entry into the AI chip market with the Mach-1 does not directly aim at competing with ultra-high-end solutions like Nvidia’s H100 or B100 series. Instead, Samsung is focusing on developing an AI inference accelerator based on an application-specific integrated circuit (ASIC) that excels in edge computing applications. The company’s emphasis on low power consumption, minimal dimensions, and cost-effectiveness aligns with the growing demand for efficient AI solutions across various industries."
Happy as Larry
Might not be there for the chip itself, it could be box fan to assist in ventilation for other components that could create heat. eg transformers, Resistors. Capacitors. Inductors or. power supply etcSo now it's got a fan?
View attachment 59682
The NXP i.MX 8M Plus Quad SOC must have been running hot.
https://shop.brainchipinc.com/products/akida™-edge-ai-box
Thanks Dio.....Hi TD,
"Samsung’s innovative approach with the Mach-1 involves utilizing LPDDR memory, a unique feature that significantly reduces memory bandwidth requirements for inference to about 0.125x when compared to existing designs. This strategic use of LPDDR memory positions the Mach-1 as a lightweight AI chip that does not rely on high bandwidth memory (HBM), which is currently scarce and expensive in the market."
This is not one of our chickens:
US2024086153A1 MULTI-BIT ACCUMULATOR AND IN-MEMORY COMPUTING PROCESSOR WITH SAME 20220914
A multi-bit accumulator includes 1-bit Wallace trees each configured to perform an add operation on single-bit input data, tristate logic circuits each configured to output a result of the add operation of the 1-bit Wallace trees according to an enable signal provided to the tristate logic circuits, and a shift-adder configured to perform an accumulation operation on the result of the add operation of the 1-bit Wallace trees by a shift operation based on a clock signal.
[0171] IMC [in-memory compute] may accelerate a matrix operation and/or an MAC operation that performs addition of multiple multiplications at a time, which may be general for artificial intelligence (AI) learning and inference. The MAC operation for the learning and inference of the neural network 1210 may be performed through a memory array, and the memory array may include bit cells of a memory device in the IMC macro.
This event may shed some more light on what Google has planned?
Thanks for sharing FMF. A use case for augmented reality applications. Is this new?Know we know we are attending but got our booth and outine of what we doing there.
2024 Exhibitor Directory
We’re Proud of Our 2024 Sponsors, Exhibitors and Partners—with more to come! We’re proud of the first-rate exhibitors at the Embedded Vision Summit. They’re focused on practical, deployable computer vision and edge AI. Our exhibitors bring to the conference some […]embeddedvisionsummit.com
We're Proud of Our 2024 Sponsors, Exhibitors and Partners—with more to come!
We’re proud of the first-rate exhibitors at the Embedded Vision Summit. They’re focused on practical, deployable computer vision and edge AI. Our exhibitors bring to the conference some quite remarkable technologies and solutions and provide fascinating demos. Connect with their technical experts and check out their newest technologies in their booths!
BrainChipGoldExhibitorsEnabling Technologies Track: Product Presentations
BrainChip will demonstrate a range of use cases based on Akida, an ultra-low-power, fully digital, event-based neuromorphic processor that targets advanced security, industrial, automotive and augmented reality applications. We will spotlight the Akida Edge AI Box, a compact box designed for video analytics, facial recognition and object detection, and can extend intelligent processing capabilities that integrate inputs from various other sensors.
Booth: #618
Nice pick up Slade.Thanks for sharing FMF. A use case for augmented reality applications. Is this new?
It’s certainly timely.Nice pick up Slade.
I missed those couple of words seeing more re edge box demoing again.
Geez...we mustn't like the real world much huhIt’s certainly timely.
Integrating Augmented Reality with Neuromorphic Computing for Enhanced Cognitive Training
Aardvark Infinity
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3 min read
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Mar 9, 2024
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Author: Aardvark Infinity | www.aardvarkinfinity.com
Published on Mar 8, 2024 · 4 min read
Photo by Lucrezia Carnelos on Unsplash
In the ever-evolving landscape of technology, the fusion of augmented reality (AR) and neuromorphic computing represents a groundbreaking stride toward the future of cognitive training and rehabilitation. Aardvark Infinity is at the forefront of this innovation with its latest project, “Augmented Cognition: Neuromorphic AR Systems for Cognitive Enhancement (AC-NAReS).” This pioneering initiative aims to leverage the unique strengths of neuromorphic computing — computers inspired by the neural structure of the human brain — and AR’s immersive experiences to create personalized cognitive training programs.
### Bridging the Gap between Brain and Machine
Neuromorphic computing mimics the human brain’s neural architecture, offering unparalleled efficiency in processing complex, sensory-driven tasks. By simulating the way neurons communicate and learn, neuromorphic systems can analyze and interpret vast amounts of data more efficiently than traditional computing architectures. This efficiency makes them ideal for applications requiring real-time processing and adaptive learning, such as cognitive training exercises.
Augmented reality, on the other hand, enriches the real world with digital overlays, providing users with immersive, interactive experiences. When combined with neuromorphic computing, AR can deliver highly personalized, adaptive learning environments that respond to the user’s cognitive state and needs in real-time. This synergy offers a promising avenue for cognitive training and rehabilitation, providing a dynamic platform that adjusts to the user’s progress and challenges them appropriately.
### The AC-NAReS Project: A Leap Forward in Cognitive Training
Aardvark Infinity’s AC-NAReS project aims to develop a platform that integrates neuromorphic computing with AR technology to support cognitive training and rehabilitation. The project focuses on several key areas:
1. **Real-time Cognitive State Monitoring:** Using neuromorphic sensors and algorithms, the system continuously assesses the user’s cognitive state, providing immediate feedback to adjust the difficulty and type of cognitive exercises.
2. **Immersive Learning Environments:** AR creates engaging, interactive scenarios that can be tailored to target specific cognitive skills, such as memory, attention, and problem-solving.
3. **Adaptive Learning Pathways:** Leveraging the learning capabilities of neuromorphic computing, the system adapts in real-time to the user’s performance, personalizing the training regimen to optimize cognitive development and recovery.
4. **Accessibility and Portability:** By utilizing wearable AR devices and neuromorphic computing’s efficient processing, the AC-NAReS platform aims to be accessible anywhere, enabling users to engage in cognitive training in the comfort of their homes or while on the move.
### Implications and Future Directions
The integration of augmented reality with neuromorphic computing in cognitive training opens up new possibilities for personalized education, therapeutic interventions, and cognitive enhancement. The AC-NAReS project not only aims to advance our understanding of how technology can support cognitive development but also strives to make these technologies accessible to a broader audience.
As this project progresses, Aardvark Infinity envisions a future where cognitive training and rehabilitation are not only more effective but also more engaging and accessible to individuals across the globe. By pushing the boundaries of what’s possible with AR and neuromorphic computing, we are stepping into a new era of cognitive enhancement that promises to enrich the human experience in profound ways.
Stay tuned for updates on the AC-NAReS project and explore how Aardvark Infinity continues to lead innovation at the intersection of neuroscience, computing, and augmented reality at
Reminds me of a movie I saw as a young bloke....is this where we're heading?It’s certainly timely.
Integrating Augmented Reality with Neuromorphic Computing for Enhanced Cognitive Training
Aardvark Infinity
·
Follow
3 min read
·
Mar 9, 2024
Listen
Share
Author: Aardvark Infinity | www.aardvarkinfinity.com
Published on Mar 8, 2024 · 4 min read
Photo by Lucrezia Carnelos on Unsplash
In the ever-evolving landscape of technology, the fusion of augmented reality (AR) and neuromorphic computing represents a groundbreaking stride toward the future of cognitive training and rehabilitation. Aardvark Infinity is at the forefront of this innovation with its latest project, “Augmented Cognition: Neuromorphic AR Systems for Cognitive Enhancement (AC-NAReS).” This pioneering initiative aims to leverage the unique strengths of neuromorphic computing — computers inspired by the neural structure of the human brain — and AR’s immersive experiences to create personalized cognitive training programs.
### Bridging the Gap between Brain and Machine
Neuromorphic computing mimics the human brain’s neural architecture, offering unparalleled efficiency in processing complex, sensory-driven tasks. By simulating the way neurons communicate and learn, neuromorphic systems can analyze and interpret vast amounts of data more efficiently than traditional computing architectures. This efficiency makes them ideal for applications requiring real-time processing and adaptive learning, such as cognitive training exercises.
Augmented reality, on the other hand, enriches the real world with digital overlays, providing users with immersive, interactive experiences. When combined with neuromorphic computing, AR can deliver highly personalized, adaptive learning environments that respond to the user’s cognitive state and needs in real-time. This synergy offers a promising avenue for cognitive training and rehabilitation, providing a dynamic platform that adjusts to the user’s progress and challenges them appropriately.
### The AC-NAReS Project: A Leap Forward in Cognitive Training
Aardvark Infinity’s AC-NAReS project aims to develop a platform that integrates neuromorphic computing with AR technology to support cognitive training and rehabilitation. The project focuses on several key areas:
1. **Real-time Cognitive State Monitoring:** Using neuromorphic sensors and algorithms, the system continuously assesses the user’s cognitive state, providing immediate feedback to adjust the difficulty and type of cognitive exercises.
2. **Immersive Learning Environments:** AR creates engaging, interactive scenarios that can be tailored to target specific cognitive skills, such as memory, attention, and problem-solving.
3. **Adaptive Learning Pathways:** Leveraging the learning capabilities of neuromorphic computing, the system adapts in real-time to the user’s performance, personalizing the training regimen to optimize cognitive development and recovery.
4. **Accessibility and Portability:** By utilizing wearable AR devices and neuromorphic computing’s efficient processing, the AC-NAReS platform aims to be accessible anywhere, enabling users to engage in cognitive training in the comfort of their homes or while on the move.
### Implications and Future Directions
The integration of augmented reality with neuromorphic computing in cognitive training opens up new possibilities for personalized education, therapeutic interventions, and cognitive enhancement. The AC-NAReS project not only aims to advance our understanding of how technology can support cognitive development but also strives to make these technologies accessible to a broader audience.
As this project progresses, Aardvark Infinity envisions a future where cognitive training and rehabilitation are not only more effective but also more engaging and accessible to individuals across the globe. By pushing the boundaries of what’s possible with AR and neuromorphic computing, we are stepping into a new era of cognitive enhancement that promises to enrich the human experience in profound ways.
Stay tuned for updates on the AC-NAReS project and explore how Aardvark Infinity continues to lead innovation at the intersection of neuroscience, computing, and augmented reality at
Reminds me of a movie I saw as a young bloke....is this where we're heading?
Glad our name wasn't Brainstorm haha
Using licensed Arm IP, NVIDIA has designed Grace as a CPU specifically for giant-scale AI and HPC. Coupled with the GPU and DPU, Grace gives us the third foundational technology for computing, and the ability to re-architect the data center to advance AI. NVIDIA is now a three-chip company.”EDIT: Right you are - they make the Tegra for the nintendo, a partner with MegaChips, so maybe something cam come of that.
And you're posting it here because?My letter to Sean:
Dear Sean,
Looking forward to meeting you at the up-coming AGM. Boy did we have a great time last year!
It's so good that you are excited about the year ahead, and that you have taken some difficult decision this year. I'm so glad that rotter Stevens was given the boot, let me tell you (even though he was a good dancer - what was it? The limbo?)
But this brings me to the reason for my email. We can only okay remuneration based on achieved results and not the effort expended.
These are difficult times, and well, we all need to tighten our belts. I realize that you have a grand plan to sell only IP and not chips, as this would maximize our profit down the tack. But we are not down the track yet, as I'm sure you'll agree.
If only you had decided to manufacture a small batch of our most powerful Akida2 variant, we might have signed off on a new licensing agreement that would have paid for the manufacturing, and a big pile of remuneration for you. But you stuck to your guns and stayed true to your word!
Your firm approach is commendable, except that your remuneration bonus will need to be delayed until your planned super-revenue can be realized.
Sadly we can not postpone your remuneration bonus, unless this is something that you organize. We can only vote on what you put before us.
Thus it is with profoud regret that we must vote down this year's bonus even though it will cause some chaos in the office and on the ASX. But then shares do what shares will do. But just imagine what we can do for you next time!