Updated links and image paths

Author: obx-vivien

docs/on-device-ai-goes-mainstream.mdx

@@ -8,7 +8,8 @@ image: /img/social/on-device-AI-on-Android.jpg
 import Head from '@docusaurus/Head';
 
 # On‑Device AI Goes Mainstream on Android
-This article is a written recap of my [Droidcon Berlin 2025 talk](https://www.youtube.com/watch?v=jwOToFCQ41Y), so the focus is on Android and Mobile AI in the hands-on, practical part. You can [find the slides here](#) (slideshare/pdf link). In this talk, we explored why the shift towards Edge AI matters, especially for developers, and how developers can get started and what to .
+This article is a recap of my [Droidcon Berlin 2025 talk](https://www.youtube.com/watch?v=jwOToFCQ41Y), so the focus is on Android and Mobile AI in the hands-on, practical part. You can [find the slides here](#) (slideshare/pdf link).
+In the talk, we discussed why the shift towards Edge AI is so important - especially for Android developers - what opportunities it opens up, and how developers can start building with on-device AI today, and what to expect.
 
 :::note
 **Note:** Edge AI may also be called **On-device AI**, **Mobile AI**, or **Local AI**.
@@ -24,7 +25,7 @@ Two megatrends are converging:
 
 - **[Edge Computing](https://objectbox.io/dev-how-to/edge-computing-state-2025)** - Processing data where it is created, on the device, locally, at the egd of the network, is called "Edge Computing" and it is growing
 - **AI** - AI capabilities and use are expanding rapidly and without a need for further explanation
-<img src="/static/img/edge-ai/edge-ai.jpg" alt="Edge AI: Where Edge Computing and AI intersect" />
+<img src="/img/edge-ai/edge-ai.png" alt="Edge AI: Where Edge Computing and AI intersect" />
 
 --> where these two trends overlap (at the intersection), it is called Edge AI (or local AI, on-device AI, or with regards to a subsection: "Mobile AI")
 
@@ -36,18 +37,18 @@ The shift to Edge AI is driven by use cases that:
 * are not economically viable when using the cloud / a cloud AI
 * want to be sustainable 
 
-<img src="/static/img/edge-ai/edge-ai-benefits.jpg" alt="Edge AI drivers (benefits)" />
+<img src="/img/edge-ai/edge-ai-benefits.png" alt="Edge AI drivers (benefits)" />
 
 If you're interested in the sustianability aspect, see also: [Why Edge Computing matters for a sustainable future](https://objectbox.io/why-do-we-need-edge-computing-for-a-sustainable-future/)
 
 ## Why it's not Edge AI vs. Cloud AI - the reality is hybrid AI
 
 Of course, while we see a market shift towards Ede Computing, there is no Edge Computiung vs. Cloud Computing - the two complement each other and the question is mainly: How much edge does your use case need?
 
-<img src="/static/img/edge-ai/cloud-to-edge-continuum.jpg" alt="Edge AI drivers (benefits)" />
+<img src="/img/edge-ai/cloud-to-edge-continuum.png" alt="Edge AI drivers (benefits)" />
 
 Every shift in computing is empowered by core technologies
-<img src="/static/img/edge-ai/computing-shifts-empowered-by-core-tech.jpg" alt="Every shift in computing is empowered by core technologies" />
+<img src="/img/edge-ai/computing-shifts-empowered-by-core-tech.png" alt="Every shift in computing is empowered by core technologies" />
 
 ## What are the core technologies empowering Edge AI?
 
@@ -58,7 +59,7 @@ Typically, Mobile AI apps need **three core components**:
 2. A [**vector database**](https://objectbox.io/vector-database/))
 3. **Data sync** for hybrid architectures ([Data Sync Alternatives](https://objectbox.io/data-sync-alternatives-offline-vs-online-solutions/))
 
-<img src="/static/img/edge-ai/core-tech-enabling-edge-ai.jpg" alt="The core technologies empoewring Edge AI" />
+<img src="/img/edge-ai/core-tech-enabling-edge-ai.png" alt="The core technologies empoewring Edge AI" />
 
 
 ## A look at AI models