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The Patient.bio cloud-based platform is uniquely designed for multi-biometric identity validation, securing digital interactions through unmatched accuracy. Seamlessly integrating voice, fingerprint, and facial recognition provides over 99% precision in authenticating users and mitigating identity fraud.
Fully hosted in the cloud for convenience while offering robust multi-factor authentication, this solution establishes new standards for security, trust, and accessibility across institutions and their end-users.
Patient.bio has partnered with IBM. Summit and Sierra, supercomputers at Oak Ridge National Laboratory and Lawrence Livermore National Laboratory, are now ranked the #1 and #2 fastest computers. They are helping us model supernovas, pioneer new materials and explore cancer, genetics, and the environment. Accurate biometric identification uses thousands of data points and supercomputers enable deployment at a global scale.
The most powerful High-Performance Computing (HPC) servers are IBM servers. Summit and Sierra, ranked #1 and #2, respectively, tackle the world’s biggest challenges—combatting cancer, identifying next-gen materials, and accelerating our understanding of disease—using technologies that can help you conquer your own business challenges.
Watson Machine Learning Accelerator is a complete environment for data science as a service, enabling your organization to bring AI applications such as Patient.bio into production. An IBM spokesperson said that the Watson system will apply image analytics to biometric images taken by Patient.bio from biometric readers, retina and iris scan and facial recognition. "This provides a foundation for DNN based (deep neural network) image analysis, feature detection, novel pattern identification and so on,"
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