No. I refuse to believe this. Fact Finder said we are going to be used in every breath screening device in all doctor's clinics in the world.Just been confirmed, NaNose blew us off in 2022.
$9 billion revenue is imminent.
Not advice
No. I refuse to believe this. Fact Finder said we are going to be used in every breath screening device in all doctor's clinics in the world.Just been confirmed, NaNose blew us off in 2022.
Sounds like the nano technology and neuromorphic compute combination will be the base for all at some point from this presentation.2:50 ".. by 2027 .."
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Steve talks about Edge Impulse. I wonder when this was recorded.
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Neuromorphic Computing Delivers Low-Power AI
BrainChip’s Akida platform offers low-power, neuromorphic machine-learning capabilities.www.electronicdesign.com
Hi @JB49,
it must be the CES 2025 media interview with Bill Wong, which was recorded two months before Edge Impulse was acquired by Qualcomm.
This is a screenshot I took on 9 January (the one that got subsequently deleted):
View attachment 83760
(I’m pretty sure this accompanying picture of a podcast recording shows Steve Brightfield interviewing Bill Eichen from De Girum, though, not Bill Wong.)
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Neuromorphic Computing Delivers Low-Power AI
BrainChip’s Akida platform offers low-power, neuromorphic machine-learning capabilities.www.electronicdesign.com
Have a look at this picture and note the armchair, sofa and sofa cushions in the background:
View attachment 83762
As you can see below, the above photo must have been taken in the Venetian Tower suite BrainChip had booked for CES 2025:
View attachment 83763 View attachment 83764
At the time, everything between BrainChip and Edge Impulse seemed perfectly harmonious:
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CES 2025
Discover how BrainChip’s neuromorphic AI and Akida platform revolutionize edge computing at CES 2025 — ultra-efficient, sensor-proximate, learning on-device.brainchip.com
View attachment 83766 View attachment 83765
Two months later, on 10 March, we found out that Edge Impulse had been acquired by Qualcomm:
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Our Next Chapter: Edge Impulse is Joining Forces with Qualcomm Technologies!
Today, Edge Impulse is excited to announce its next step forward — we’ve signed an agreement to join the Qualcomm Technologies team.www.edgeimpulse.com
View attachment 83767
Fast forward to 5 April, when you spotted the suspension of BrainChip models on Edge Impulse, which continues to be the status quo even today, a whole month later (https://docs.edgeimpulse.com/docs/edge-ai-hardware/cpu-+-ai-accelerators/akd1000), although according to https://brainchip.com/partners/ Edge Impulse remains a BrainChip enablement partner…
View attachment 83768
I question why BRN are not seen by baize as beneficialEdge growth happening.
Arijit Mukherjee is already busy co-organising another Edge AI workshop that will also touch on neuromorphic computing. It is scheduled for 8 October and will be co-located with AIMLSys 2025 in Bangalore:
“EDGE-X 2025: Reimagining edge intelligence with low-power, high-efficiency AI systems”.
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#edgeai #tinyml #neuromorphic #spintronics #photoniccomputing #aimlsys2025 #lowpowerai #futuretech #callforpapers #linkedinresearch #aiatedge | Arijit Mukherjee
🔋✨ Rethinking Edge Intelligence at EDGE-X 2025 📍 Co-located with AI-ML Systems Conference 2025 | Chancery Pavilion, Bangalore | October 8, 2025 As intelligent systems scale across diverse environments—from IoT sensors to autonomous platforms—traditional architectures face new limits. The EDGE-X...www.linkedin.com
View attachment 87849
Workshop-EDGE-X | The Sixth International Conference on AI ML Systems
www.aimlsystems.org
EDGE-X
The EDGE-X 2025 workshop, part of the Fifth International AI-ML Systems Conference (AIMLSys 2025), aims to address the critical challenges and opportunities in nextgeneration edge computing. As intelligent systems expand into diverse environments—from IoT sensors to autonomous devices—traditional applications, architectures, and methodologies face new limits. EDGE-X explores innovative solutions across various domains, including on-device learning and inferencing, ML/DL optimization approaches to achieve efficiency in memory/latency/power, hardware-software co-optimization, and emerging beyond von Neumann paradigms including but not limited to neuromorphic, in-memory, photonic, and spintronic computing. The workshop seeks to unite researchers, engineers, and architects to share ideas and breakthroughs in devices, architectures, algorithms, tools and methodologies that redefine performance and efficiency for edge computing.
Topics of Interest (including but not limited to the following):
We solicit submissions describing original and unpublished results focussed on leveraging software agents for software engineering tasks. Topics of interest include but are not limited to:
1.Ultra-Efficient Machine Learning
2.Hardware-Software Co-Design
- TinyML, binary/ternary neural networks, federated learning
- Model pruning, compression, quantization, and edge-training
3.Beyond CMOS & von Neumann Paradigms
- RISC-V custom extensions for edge AI
- Non-von-Neumann accelerators (e.g., in-memory compute, FPGAs
4.System-Level Innovations
- Neuromorphic computing (spiking networks, event-based sensing)
- In-memory/compute architectures (memristors, ReRAM)
- Photonic integrated circuits for low-power signal processing
- Spintronic logic/memory and quantum-inspired devices
5.Tools & Methodologies
- Near-/sub-threshold computing
- Power-aware OS/runtime frameworks
- Approximate computing for error-tolerant workloads
6.Use Cases & Deployment Challenges
- Simulators for emerging edge devices (photonic, spintronic)
- Energy-accuracy trade-off optimization
- Benchmarks for edge heterogeneous platforms
- Self-powered/swarm systems, ruggedized edge AI
- Privacy/security for distributed intelligence
- Sustainability and lifecycle management
- Program Committee
- Arijit Mukherjee, Principal Scientist, TCS Research
- Udayan Ganguly, Professor, IIT Bombay
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The shorters are smashing that sell button like there’s no tomorrow… unbelievableMorning Chippers ,
Could be wrong, looking at the one day chart on 1,3,5 & 15min volume flow be thinking could see some volume entering shortly ... next 15 min .
indicator.
Regards ,
Esq.