MIT researchers develop highly efficient chip for on-device neural networks
MIT researchers have developed a powerful new chip for neural-network computations that is three to seven times faster than other…
neural networks - biometrics topics
Biometric Update regularly publishes articles about neural networks. The following list of links is available to help you find biometrics news regarding neural networks. More tags may be explored by reviewing our complete Biometrics Topics list.
Startup aims to improve efficiency of deep neural networks for image analysis and facial recognition
Purdue University-affiliated startup FWDNXT has developed a low-power mobile coprocessor for accelerating image recognition and classification by deep neural networks,…
Get ready for neural networks in your pocket
This is a guest post by George Brostoff, CEO of SensibleVision. It is safe to say that AI has experienced…
NEC develops automatic optimization technology for deep learning
In an effort to facilitate improvements in recognition accuracy, NEC has developed automatic optimization technology for deep learning. In a…
BrainChip unveils new PCIe accelerator card
BrainChip has unveiled a new PCIe accelerator card that serves as a key accessory for neuromorphic computing, which emulates the…
ZTE achieves facial recognition breakthrough with deep learning
ZTE has achieved a breakthrough in deep learning and convolutional neural networks (CNN), working with Intel, which could enable new…
KnuEdge looking for speakers for heterogeneous neural networks event
As part of its effort to advance neural computing innovation and transform human-machine interaction, KnuEdge has opened a call for…
Chinese app developer releases facial recognition based lending platform
Chinese application developer PING AN TianXiaTong (PING AN) has released facial recognition technology that it will incorporate its wealth management…
Russian photographer uses facial recognition in social media experiment
A recent project entitled ‘Your face is big data’ saw an art school student photograph people who happened to sit…
