Neurotechnology was founded with the key idea of using neural networks for applications such as biometric person identification, computer vision, robotics and artificial intelligence. Much to the delight, they're able to endure the “neural networks winter” by using and expanding this expertise all through 2012, the year that brought explosive developments in the concept and infrastructure of deep neural networks. This allowed to quickly take advantage of the emerging opportunities that came with the new wave of deep learning and triggered an entire range of new projects in object recognition and other applications.
“We wanted to ensure our customers that the biometric fingerprint solutions we provided would meet level of accuracy and security they required. VeriFinger met our needs perfectly, and we continue to use the VeriFinger algorithm in our products because it provides the combination of speed and accuracy that enables us to guarantee our customers a high level of security.”




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