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Google Research, 2022 & beyond: Natural sciences

Google Research AI blog

Posted by John Platt, Distinguished Scientist, Google Research (This is Part 7 in our series of posts covering different topical areas of research at Google. Reconstruction of the neural circuitry of a larval zebrafish brain, courtesy of the Max Planck Institute for Biological Intelligence.

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The Age of BioInformatics: Part 2

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Empowering Data Scientists and Machine Learning Engineers in Advancing Biological Research Image from European Bioinformatics Institute Introduction: In biological research, the fusion of biology, computer science, and statistics has given birth to an exciting field called bioinformatics.

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Meet the Final Winners of the U.S. PETs Prize Challenge

DrivenData Labs

In Phase 3: Red Teaming , independent red teams of privacy researchers scrutinized and tested the blue team prototypes for privacy vulnerabilities. Comparative accuracy of PPFL model compared with a centralized model. She is developing privacy-preserving methods to generate high-fidelity synthetic data and analyze genomic data.

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Unlocking Innovation: AWS and Anthropic push the boundaries of generative AI together

AWS Machine Learning Blog

Customers such as ADP, Broadridge, Cloudera, Dana-Farber Cancer Institute, Genesys, Genomics England, GoDaddy, Intuit, M1 Finance, Perplexity AI, Proto Hologram, Rocket Companies and more are using Anthropic’s Claude models on Amazon Bedrock to drive innovation in generative AI and to build transformative customer experiences.

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Advancing Human-AI Interaction: Exploring Visual Question Answering (VQA) Datasets

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The dataset is specifically curated to facilitate research in developing and evaluating models capable of understanding images and answering diverse and open-ended questions related to those images. Researchers and developers often leverage VQA v2.0 An extension of its predecessor, VQA v2.0

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Revolutionizing Healthcare Using Machine Learning

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Photo by National Cancer Institute on Unsplash Machine learning has recently been a game-changer in healthcare and medical diagnosis. Collaboration between healthcare providers, researchers, and data scientists is essential to ensure patient data access and ethical use for personalized medicine.

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Best Machine Learning Datasets

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Egyptian Hieroglyphics Finally, for researchers or enthusiasts in the field of historical linguistics or Egyptology, the Egyptian Hieroglyphics dataset presents a unique opportunity with its collection of 3890 images. This unique dataset could be used for various academic and research purposes. edges, corners, or color histograms).