Trained Models definition

Trained Models means machine learning models, created by applying any current or future RaySearch machine learning algorithms on medical data, including both model candidates and final validated models. Trained Models do not contain any algorithms or patient data. Trained Models are separated into the following sub-categories; Clinic’s Trained Models are Trained Models trained under this License Agreement on Clinic’s medical data, and Pre-trained Models are Trained Models trained on other data than Clinic’s medical data and provided by RaySearch to Clinic as part of the licensed Software. Unless otherwise agreed, RaySearch shall have no obligation to provide Clinic with any Pre-trained Models.

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Trained Models means an AI Model created, customized, developed, fine-tuned, trained, validated, tested, or improved with Lilly Content by or on behalf of Lilly, and includes any retrieval or contextual mechanism, model, engine, or process to augment the generation process of an AI System.

Trained Models means machine learning models, created by applying any current or future RaySearch machine learning algorithms on medical data, including both model candidates and final validated models. Trained Models do not contain any algorithms or patient data. Trained Models are separated into the following sub-categories;

Examples of Trained Models in a sentence

• Customer acknowledges and agrees that the Algorithms and Trained Model(s) belong to Lumina, and that Lumina shall at all times own and retain possession of the Algorithms and Trained Model(s).

• During each Subscription Term, Deepgram grants Customer a limited, non-exclusive, non-transferable, non-sublicensable, license to: (a) install or access, as applicable, and use the Software, in the format identified on the Order Form, for up to the number of Trained Models and/or Committed Funds identified on the Order Form; and (b) use the Documentation for Customer’s internal use in connection with the Software (together, the “Subscription”).

• Subject to RaySearch’s written approval and (as the case may be) approval from relevant authorities, Clinic shall have the right to use validated and commissioned Trained Models clinically.

• Customer acknowledges that Pryon retains all right, title and interest in and to the Pryon System, Trained Models, Documentation and all software and all Pryon proprietary information and technology used by Pryon or provided to Customer in connection with the Pryon Service (the “Pryon Technology”), and that the Pryon Technology is protected by Intellectual Property Rights owned by or licensed to Pryon.

• Clinic shall also have the right to use Clinic´s Trained Models for internal research and educational purposes.

• RaySearch shall have a perpetual right to use Clinic´s Trained Models and any associated clinical validation reports for; (i) research and development purposes as well as validation, testing and evaluation (ii) marketing and informational activities, such as demonstration and training (iii) adaptation, sale and distribution in connection with the Software.

• The Parties agree that RaySearch shall own the Trained Models created under this Agreement and may use them for any and all purposes.

• If not otherwise agreed in writing, Clinic shall not use Trained Models except as expressly authorized in this Section 4.24.2.

• The Parties specifically acknowledge that the support to be provided from Distributor and/or RaySearch under this Agreement includes to demonstrate how to create Trained Models by the use of the Software.

• The Parties specifically acknowledge that the support to be provided from RaySearch under this Agreement includes to demonstrate how to create Trained Models by the use of the Software.

More Definitions of Trained Models

Trained Models means machine learning models derived from retrospective data by the use of a machine learning based automatic planning algorithm and a machine learning based automatic segmentation algorithm, as well as any future machine learning functionalities included as functionalities in the Software (hereinafter referred to as the “ML Applications”), including both model candidates and final validated models. Trained Models do not include any algorithms or patient data.