Google will absorb DeepMind’s health division without the transfer of patient data. The method uses a split neural network that allows DeepMind to start training a deep-learning model and Google to finish the training, thereby not sharing sensitive record data.
Artificial intelligence and human health don’t stop with our general diagnostics, cardiology, neurology, and activity sectors. This sector covers AI/ML-centric advancements in auditory, dental, GI/hepatic, circulatory, immune, musculoskeletal, ocular, reproductive, respiratory, dermatological, urinary, rectal, and spectrometry related biotech.
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Artificial intelligence and human health don’t stop with our general diagnostics, cardiology, neurology, and activity sectors. This sector covers AI/ML-centric advancements in auditory, dental, GI/hepatic, circulatory, immune, musculoskeletal, ocular, reproductive, respiratory, dermatological, urinary, rectal, and spectrometry related biotech.