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artificial intelligence models (Deepmind Technologies Ltd)

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Deepmind Technologies Ltd artificial intelligence models
Artificial Intelligence Models, supplied by Deepmind Technologies Ltd, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/artificial+intelligence+model/artificial+generative+intelligence+model/pm41331638-41-2-8
Average 86 stars, based on 1 article reviews

artificial intelligence models - by Bioz Stars, 2026-10

86/100 stars

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Article Title: Generation of benchmarking datasets for summarization
Article Snippet: As stated above, the generative AI models 214 may be part of the current subject matter system (e.g., system 200 shown in FIG. 2) and/or be one or more third party models (e.g., ChatGPT, Bard, DALL-E, Midjourney, DeepMind, etc.).

Article Title: Evaluation of health professionals’ perceptions on the use of artificial intelligence in radiology: a questionnaire-based study
Article Snippet: Of note, artificial intelligence models developed by Google DeepMind have achieved results close to human accuracy in breast cancer screening [ , ].

Article Title: [2511.06613] Some economics of artificial super intelligence
Article Snippet: Labs like OpenAI and Google DeepMind have already declared plans to create artificial general intelligence (AGI). (OpenAI 2025a; Dragan et al. 2025).8 AGI refers to a computer system that is as capable as humans at any task.

Article Title: Generation of benchmarking datasets for summarization
Article Snippet: The generative AI model 214 may be part of the system 200 and/or be one or more third party models (e.g., ChatGPT, Bard, DALL-E, Midjourney, DeepMind, etc.).

Article Title: Evaluation of health professionals' perceptions on the use of artificial intelligence in radiology: a questionnaire-based study.
Article Snippet: Of note, artificial intelligence models developed by Google DeepMind have achieved results close to human accuracy in breast cancer screening [4, 10].

Generated:

Article Title: Drug Combination in Polymeric Nanocarriers for Chemotherapy of Cancer: Preclinical Outcomes in the Last Ten Years
Article Snippet: .. Schematic illustrations presented in and were generated using a generative artificial intelligence model (Gemini 3.0 Pro, Google DeepMind) for graphical representation purposes only. ..

Article Title: Drug Combination in Polymeric Nanocarriers for Chemotherapy of Cancer: Preclinical Outcomes in the Last Ten Years.
Article Snippet: .. Schematic illustrations presented in Figures 1 and 6 were generated using a generative artificial intelligence model (Gemini 3.0 Pro, Google DeepMind) for graphical representation purposes only. ..

Biomarker Discovery:

Article Title: How to Efficiently Design 2D Materials for Electrochemical Applications Using Machine Learning
Article Snippet: .. Recent research has shifted toward the use of generative AI, led by teams such as Microsoft Research, and Google DeepMind to discover materials with tailored properties for specific applications, such as energy storage and electrocatalysis., With established tools such as high-throughput screening, open materials databases, and machine learning models for property prediction–such as crystal graph convolutional neural networks – it is now possible to screen hundreds of thousands of materials to identify the most promising candidates followed by computational and experimental validation . ..