a generator and a discriminator, that compete against each other. The generator creates fake data to pass to the discriminator. The discriminator then decides if
“generator” creates an image and the “discriminator” decides whether the image is real or generated. The generator is constantly trying to fool the discriminator, which is forever trying to catch the generator in the act. In most instances, the two competing neural nets are based on CNN ...
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A Da Vinci surgical robot assists doctors in performing minimally invasive surgery on an 80-year-old cancer patient in the Chinese city of Jinhua. Surgical robots like Da Vinci are being given more autonomous capabilities thanks to the use of similar AI methods to the ones that help...
This AI chatbot for healthcare has a team of doctors, data scientists, and medical researchers behind its origins. It can provide the patients with relevant information based on their health records to reduce the human factor.Key features:
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1983). The growing demand for tools that can assist doctors in diagnosing and treating patients more effectively, along with the availability of medical imaging devices and ML, has spurred the development of health-related AI applications in healthcare research areas that were previously believed to...
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The microservices, 25 of which launched today, can accelerate transformation for healthcare companies as generative AI introduces numerous opportunities for pharmaceutical companies, doctors and hospitals. These include screening for trillions of drug compounds to advance medi...