Facial recognition 20 times more accurate with advances in convolutional neural networks, NIST finds
Facial recognition algorithms can identify matches with error rates as low as 0.2 percent given good quality photos, 20 times…
neural networks
Canadian startup applies AI to deep neural networks to improve efficiency and transparency
Canadian startup DarwinAI has emerged from stealth mode to offer its next generation technologies to artificial intelligence developers to help…
TechNOVA: AI 2018
TechNOVA: AI 2018 15 October 2018 Hilton Tower Bridge, Tooley Street, London TechNOVA: AI 2018 is the event where you…
Researchers develop privacy filter to block photo facial recognition
A team of researchers at the University of Toronto Engineering school have used adversarial training to create an algorithm which…
Qualcomm on-device speech recognition reaches 95 percent accuracy
Qualcomm’s on-device voice recognition system now recognizes words and phrases with 95 percent accuracy, a company representative told an audience…
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…
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…
