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AI for Electronics & Hardware – Enable Multimodal AI Processing on Devices With 2GB RAM

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Use case "Enable Multimodal AI Processing..." and related
3 use cases
🔌 Electronics & Hardware

Enable Multimodal AI Processing on Devices With 2GB RAM

Sources: 🐦 Tweet by @Scobleizer 🐦 Tweet by @GoogleAI
Helps: Data Analysts Data Scientists Data Specialists +2 more
1 month ago
🔌 Electronics & Hardware

Generate Pose-Controllable Grasps From Point Cloud Data

Sources: 🐦 Tweet by @Scobleizer 🐦 Tweet by @salimazak 🌐 nus-lins-lab.github.io
Helps: Data Scientists Ops Research Analysts Systems Engineers +2 more
AI Features: Mathematical Reasoning Image Generation +2 more
3 weeks ago
🔌 Electronics & Hardware

Build and deploy computer vision workloads in minutes without expertise

Sources: 🐦 Tweet by @Scobleizer 🌐 openfilter.io
Helps: Programmers Data Scientists Blockchain Engineers +4 more
AI Features: Spatial Intelligence
1 month ago
🔌 Electronics & Hardware

Enable Multimodal AI Processing on Devices With 2GB RAM

Device manufacturers and developers use a multimodal AI system (Gemma 3n) to optimize AI processing on low-spec devices. The model enables audio understanding and multimodal performance on as little as 2GB of RAM, removing the need for cloud-based inference.
Helps: Data Analysts Data Scientists Data Specialists BI Analysts Computer Programmers
May 21, 2025

AI Mentioned (2)

Gemma 3n favicon
Gemma 3n Model
Gemini 2.5 favicon
Gemini 2.5 Model

Sources (2)

“I missed this earlier. Qualcomm’s chips run AI faster than...”

🐦 Tweet by @Scobleizer • May 21, 2025

“Meet Gemma 3n, a model that runs on as little...”

🐦 Tweet by @GoogleAI • May 20, 2025

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