https://video.ut0pia.org/videos/watch/a980a474-7697-4826-8582-40e8c519e4fd As models get smaller and more capable, more AI workloads can move onto the device itself. In this talk, Chintan Parikh from Google DeepMind walks through what that looks like in practice, from Gemma 4 edge models and on-device agent skills to the real tradeoffs around latency, privacy, cost, and cross-platform deployment. The session covers LiteRT, the Google AI Edge stack for running models across Android, iOS, desktop, web, and IoT, along with demos of local tool calling, structured output, reasoning, benchmarking, and hardware acceleration on CPUs, GPUs, and NPUs. If you're building on-device AI systems, this is a practical overview of the current edge stack and where it is headed. Speaker info: https://www.linkedin.com/in/weiyiwang1993, https://www.linkedin.com/in/chintansparikh Wed, 06 May 2026 13:49:35 GMT https://validator.w3.org/feed/docs/rss2.html PeerTube - https://video.ut0pia.org https://video.ut0pia.org/lazy-static/avatars/0287a09a-aae7-4840-9843-b416426e7046.webp https://video.ut0pia.org/videos/watch/a980a474-7697-4826-8582-40e8c519e4fd All rights reserved, unless otherwise specified in the terms specified at https://video.ut0pia.org/about and potential licenses granted by each content's rightholder.