Embedded Files
Journal Club
Journal Club
AI in Cancer: Bridging Context from Design to Delivery
[register] - https://datascience.cancer.gov/news-events/events/ai-cancer-bridging-context-design-delivery
Data Science Seminar - How artificial intelligence (AI) will revolutionize healthcare by enhancing diagnostic precision, optimizing treatment plans, and improving patient outcomes.
AI in Cancer: Bridging Context from Design to Delivery
[register] - https://datascience.cancer.gov/news-events/events/ai-cancer-bridging-context-design-delivery
Data Science Seminar - How artificial intelligence (AI) will revolutionize healthcare by enhancing diagnostic precision, optimizing treatment plans, and improving patient outcomes.
April 02, 2025 11:00 a.m. - 12:00 p.m. ET
April 02, 2025 11:00 a.m. - 12:00 p.m. ET
* Dr Caroline Chung is Vice President and Chief Data Office and Director of Data Science Development and Implementation of the Institute for Data Science in Oncology at MD Anderson Cancer Center, and she was part of TDRP board of external site visitors and evaluators in the Fall of 2024.
Hackathon
Hackathon
...
Federated learning, a specific example - Daniel and Praful
Federated learning, a specific example - Daniel and Praful
...
Spatial transcriptomics examples:
Spatial transcriptomics examples:
https://vitessce.io ... where is the example data?
...
STOmicsDB: a comprehensive database for spatial transcriptomics data sharing, analysis and visualization
https://doi.org/10.1093/nar/gkad933
Hi all,
Some of you may already have noticed: as of Canary 136.0.7103.0, all built-in APIs have new entry points. Rather than on self.ai., you'll now find the APIs directly on self.. You instantiate them using the static create() method:
await LanguageModel.create();
await Summarizer.create();
await Writer.create();
await Rewriter.create();
await LanguageDetector.create();
await Translator.create();*
Likewise, there's now a static availability() method:
await LanguageModel.availability();
await Summarizer.availability();
await Writer.availability();
await Rewriter.availability();
await LanguageDetector.availability();
await Translator.availability();*
This API change was based on feedback from other vendors. Apologies for the inconveniences and for possibly breaking some of your demos and apps.
Cheers,
Tom
Example with translator
Example with translator
const translator = await self.ai.translator.create({
sourceLanguage: 'en',
targetLanguage: 'pt',
});
Multimodal
Multimodal
Prompt API for Gemini Nano with Multimodal Input
Extends the exploratory Prompt API with image and audio input types. Allows you to supplement natural language instructions for a built-in large language model (Gemini Nano in Chrome) with image and audio inputs. Exploratory APIs are designed for local prototyping to help discover potential use cases, and may never launch. These explorations will inform the built-in AI roadmap [1]. This API enhancement is primarily intended for natural language processing tasks associated with visual and auditory data, such as generating rough descriptions of pictures and sounds. It is NOT suitable for use cases that require factual accuracy (e.g. answering knowledge questions). You must comply with our Prohibited Use Policy [2] which provides additional details about appropriate use of Generative AI. – Mac, Windows, Linux, ChromeOS, Android
https://policies.google.com/terms/generative-ai/use-policy
#prompt-api-for-gemini-nano-multimodal-input
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