Data Science Current

AI trends in 2023: Graph Neural Networks

AssemblyAI

MARCH 21, 2023

GNNs have de facto become a crucial tool for solving real-world problems in many totally different and seemingly unrelated areas such as drug discovery, recommendation systems, traffic predictions, and many more, in which more traditional and case-specific methods fail. What is the current role of GNNs in the broader AI research landscape?

Deep Learning

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Computer Vision and Deep Learning for Healthcare

PyImageSearch

JANUARY 2, 2023

In addition to structuring data for research, machine learning (ML) can match patients to clinical trials, speed up drug discovery, and identify effective life-science therapies when applied to big data. It uses AI to make predictions about new targets for cancer drugs. Further applications in genomic medicine (e.g.,

Deep Learning

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Data Science Current

AI trends in 2023: Graph Neural Networks

Computer Vision and Deep Learning for Healthcare

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