Modern conservation technology has one simple goal, even though achieving it is anything but simple: to spot a threat or threatened species instantly, right where it happens—even in places with no ...

The Company will demonstrate how its AI-based neural input technology interprets neural signals to control digital devices using touchless finger movements At the Summit, the Company will showcase its ...

You might be under the impression that machine learning costs thousands of dollars to work with. That might be true in many cases, but there’s more to machine learning than you might think. For ...

Tiny Machine Learning (TinyML) represents a transformative shift in deploying machine learning algorithms on resource‐constrained Internet of Things (IoT) devices. By enabling on-device inference and, ...

TinyML can run on standard microcontrollers, but ones with hardware acceleration or AI/ML-enhanced instruction sets can implement AI/ML models more efficiently. They can also make applications ...

TinyML is a concept rather than an AI/ML platform and one that the TinyML Foundation highlights. A number of different frameworks address this space, such as TensorFlow Lite. These articles take a ...

Ceva, Inc. has extended its Ceva-NeuPro family of edge AI NPUs with the launch of Ceva-NeuPro-Nano. These highly-efficient NPUs claim the power, performance and cost efficiencies needed to integrate ...