Edge computing is defined as the storage and processing of data by resources deployed in closer proximity to the end-user or data collection point, rather than a distant data center or cloud. This proximity can be used in latency-reducing architectures, and could also have privacy, regulatory, and cost benefits. Many predicted growth areas for biometrics and edge computing overlap, including smart cities and the internet of things (IoT).
Deep-tech startup Hummingbirds AI has announced a new artificial intelligence-based biometrics platform designed to make employees’ computers more secure. Dubbed GuacamoleID,…
Large events make up one of the market areas most likely to experience a surge in biometrics adoption in 2022,…
Taiwan-based Axiomtek announced it will be offering hardware with AI processor chips from Hailo, the latest in a series of…
Everguard.ai, a provider of workplace sustainability and safety technology, offers a “plug-and-protect” product suite, Arc360. The technology solutions include a…
Mobile biometrics provider Grabba and credential and access management provider Todaq have launched the jointly-developed GOTO decentralized digital identity product to the…
Two research groups at MIT have discovered a way of reducing memory usage of machine learning algorithms on edge devices that use…
Everguard.ai, a provider of workplace sustainability and safety technology, launched a new “plug-and-protect” product suite named Arc360. The technology solutions…
From advances in chips and sensors to algorithms, biometric authentication systems have undergone a period of rapid development. This is…
Nota, which provides technology to optimize AI models, announced that it has closed a $14.7 million Series B funding round….
Faster and more efficient object recognition is the promise of new technology being developed by NEC Corporation. The upcoming video…
