[{"id": 15578, "state": 3, "location": "Main", "location_slug": "main", "sequence": 1, "name": "Inference at Scale: Transcribing Millions of Insurance Calls with Whisper and Azure ML", "slug": "inference_at_scale", "authors": "Jimmy Scray", "description": "", "start": "2026-07-09T23:24:00Z", "duration": "00:45:00", "released": null, "license": "CC BY-SA", "tags": null, "conf_key": "", "conf_url": "", "host_url": null, "public_url": null, "rax_mp4_url": null, "archive_url": null, "archive_mp4_url": "", "twitter_url": null, "comment": "", "start_at": "23:19 09.07.2026"}, {"id": 15579, "state": 3, "location": "Main", "location_slug": "main", "sequence": 2, "name": "Pulto A Spatial Jupyter client for the Apple Vision Pro", "slug": "pulto", "authors": "Joshua Herman", "description": "This is a talk about making a Jupyter client for the Apple Vision Pro targeting the VisionOS operating system. It has largely been implemented in Swift but there is also an extended Jupyter server to manage 3D models, Gaussian Splats and Point Cloud data. It has been vibe coded a great part of the implementation will be discussed.\r\n\r\n    Apple Human Interface Guidelines (for the Vision Pro)\r\n    Complying with App Store policies (what can be done on devices)\r\n    Interfacing with Jupyter Remotely\r\n    Rendering custom cells.", "start": "2026-07-10T00:17:00Z", "duration": "00:45:00", "released": true, "license": "CC BY-SA", "tags": null, "conf_key": "", "conf_url": "", "host_url": null, "public_url": null, "rax_mp4_url": null, "archive_url": null, "archive_mp4_url": "", "twitter_url": null, "comment": "", "start_at": "00:12 10.07.2026"}]