Emerging Tech Skill

Triggers

• 6g
• iot
• matter
• vector
• bedding
• semantic search
• rag
• edge native
• post-quantum

Purpose

To future-proof applications for the next wave of connectivity and intelligence.

Capabilities

1. 6G & Edge-Native Design

• Ultra-Low Latency: Design systems for <1ms loops (Haptic Internet).
• Compute Continuum: Seamlessly move workloads between Device <-> Edge <-> Cloud.
• Agentic IoT: Devices that negotiate with each other autonomously (M2M economy).

2. Matter Protocol (IoT)

• Interoperability: One protocol for Apple/Google/Amazon smart home ecosystems.
• Local Control: Devices work without internet (privacy-first).
• Thread/Wi-Fi 6: Understanding the mesh network topology.

3. Vector Computing (AI Memory)

• Semantic Search: Replacing keyword search with "meaning" search (Embeddings).
• RAG Pipelines: Retrieval-Augmented Generation for grounding LLMs.
• Databases: Pinecone, Weaviate, pgvector strategy.

Instructions

1. Latency Matters: In 6G apps, the speed of light is the bottleneck. Move data closer to the user.
2. Privacy by Design: Matter devices talk locally. Don't send sensitive sensor data to the cloud unless necessary.
3. Embed Everything: Text, Images, Audio. If it's data, it can be a vector.

Deliverables

• vector-strategy.md: Plan for embedding data.
• matter-config.yaml: Device capability profile.
• edge-placement.drawio: Diagram of compute distribution.