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#EdgeAI

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[New Video] Real-time Human Detection with 4-Band Raspberry Pi Camera
Check out our new demo video showing real-time human detection using a 4-Band Raspberry Pi Camera! The video displays the camera's view along with inference results highlighting detected humans.
🎥 Demo Video: youtu.be/oafrmEUXJYA?si=mPRbKo
📄 Paper: doi.org/10.3390/jimaging110400
#Multispectral #ComputerVision #EdgeAI #RaspberryPi #HumanDetection

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⚡ AI running 23,000× more efficiently?
That’s not a typo — it’s the power of HyDra! 🧠

By merging memory and computation, HyDra revolutionizes hyperdimensional computing for real-world edge AI.

Which everyday device would you love to make smarter (without draining the battery)? 🤔

Explore the full innovation here ➡️ blueheadline.com/future-tech/h

HyDra Saves 23,000× Energy and Boosts AI Efficiency - Blue Headline
Blue Headline · 🚀 HyDra Saves 23,000× Energy And Boosts AI EfficiencyHyDra slashes AI energy costs by up to 23,000× and redefines hyperdimensional computing (HDC) with breakthrough SOT-CAM in-memory architecture for edge devices.

📱 Small Language Models (SLMs) are gaining traction! 🧠

These compact AI models run efficiently on local devices while offering impressive capabilities:
- Enhanced privacy (your data stays on your device)
- Lower computational costs
- Minimal latency
- Works offline

Perfect for specific tasks where you don't need the full power of massive models.

Have you tried any SLMs yet?

Can I run an #Apple (M3/M4) machine headless to experiment with local #LLMs?

What I want to achieve:
🎙️ Audio transcription
📝 Automatic summarization + minutes of meeting generation
🌐 Ideally with a local web-based GUI

Requirements:
✅ Full use of Apple Silicon performance (M3/M4)
✅ Headless setup
✅ Support for different open-source LLMs

Are there any existing solutions or projects that match this use case?
Any tips or experiences welcome!

#AppleSilicon #OnDeviceAI #LLM #OpenSource #AI #SelfHosted #EdgeAI #PrivateAI

Shuttle presents the new XPC slim DN11 series - compact AI-PCs powered by Intel Core Ultra. With up to 34 TOPS, quad 2.5 Gbit LAN, support for four 4K displays, and space for three M.2-2280 SSDs, they’re ready for demanding edge applications. Learn more: go.shuttle.eu/DN11

Oh, and by the way: Germany’s @ct_Magazin has already published a hands-on review (paywall): go.shuttle.eu/plBGJ

Huge thanks to
@taoofmac
for the in-depth RK3588 AI Module7(AIM7) taoofmac.com/space/blog/2025/0

Key takeaway:
🔥#RK3588 #AI Module7 shines in
#Industrial Automation
#EdgeAI Vision
• Lightweight #LLMs
#IoT Gateways
Demand 32GB/128GB AI Module7 for LLMs?🗣️Tell us! We’ll scale production when crowdfunding finished.

#linux #hardware #embedded #rockchip #makers @taoofmac

Same form factor, very different thermal profiles.
Tao of Mac · The ArmSom AI Module 7
More from Tao of Mac

I just backed this project on Kickstarter: kickstarter.com/projects/openm

OpenMV LLC makes some incredibly powerful, small-form-factor #IoT cameras perfect for tinkering, prototyping, and making slick projects. I taught my Computer Vision with #AI course using their cameras. I'm excited about this new series: full object detection for a few mW. #EdgeAI #ComputerVision #Arduino #MicroPython #embedded #microcontroller

Welcome to Day 1 at this year's embedded world ! Visit us at our booth in hall 4, stand 422.

Our scientists will be on site to show you our two demos “Adaptive Manufacturing with Embedded Edge AI” and “Supply chain security in a connected and regulated world”. Don't hesitate and stop by, we look forward to seeing you!

More information: ▶️ fokus.fraunhofer.de/en/sqc/eve

We are almost ready! Our scientists are in the final preparations for the start of embedded world 2025 in Nuremberg so that we can welcome you tomorrow in hall 4 at our booth 422. This year, it's all about security testing and embedded edge AI. Our motto is “Intelligent - efficient - connected”. We will be there from March 11 to 13, come by! We look forward to your visit! Further information: ▶️ fokus.fraunhofer.de/en/sqc/eve