What if AI-powered education didn’t require internet access?
At ASU Next Lab, we’re exploring this question by developing AI-enhanced learning experiences that work beyond traditional infrastructure. Our focus is on creating educational ecosystems that thrive even without WiFi or electricity — bringing personalized, AI-driven content to remote and underserved communities across the globe.
At THE AI SHOW @ ASU+GSV, I had the opportunity to share our latest work on AI at the Edge. We explored how models like Meta Llama LLM can be embedded directly into low-power devices, enabling learners to access high-quality, adaptive educational resources offline. This approach reimagines what equitable access looks like when connectivity, power, or bandwidth are limited.
Why This Matters
Half the world remains unconnected or under-connected. Education in these contexts often depends on fragile infrastructure, limiting access to digital learning. By embedding AI locally, we can:
- Deliver context-aware learning without internet dependence
- Support teachers and learners through adaptive feedback and translation
- Unlock tens of thousands of resources for schools and communities that have historically been left out of the digital revolution
AI for Equity, Not Exclusivity
This is about more than technology. It’s about expanding the moral and imaginative scope of what education can be — using AI to connect, not divide. When learners can access knowledge without barriers of connectivity or privilege, education begins to resemble a shared global commons.
Watch, Explore, and Join the Conversation
If you missed the session, you can:
- Watch the talk: Join here
- View the presentation deck: Access here
A huge thank you to everyone who joined “AI Education at the Edge: No Internet, No Power, No Problem.” Your curiosity and questions made it an energizing session at THE AI SHOW @ ASU+GSV.
Let’s keep building the future together — where learning reaches every edge of the planet.
