The complete and highly optimized embARC MLI library makes effective use of the ARC EM9D processor to efficiently support a wide range of low/mid-end machine learning applications. To learn more, read ...

TENSAI Flow enables seamless development for machine learning applications in IoT and low power edge devices. It includes a neural network compiler, a neural network zoo, ...

One advantage that the IoT brought to design was the ability for a small local device to access the network’s virtually-unlimited computing power. The Amazon Echo is a classic example: a low-cost ...

With a pandemic fueled 2020, digital transformation accelerated rapidly, and with increased connectivity, thanks to 5G and faster WiFi and improvements in AI and machine learning, IoT looks set to ...

IoT And Machine Learning. Machine learning as a software discipline plays a huge role in how the IoT ecosystem (a.k.a. the actual machines) responds to the outside world, and what insights these ...

The applications apply advanced data aggregation methods, data persistence methods, data analytics, and machine learning methods, embedded in a unique model driven architecture type system ...

Infrastructure around the world is being linked together via sensors, machine learning and analytics. We examine the rise of the digital twin, the new leaders in industrial IoT (IIoT) and case ...

Feb 29, 2024: Machine learning innovations and applications in nanotechnology (Nanowerk Spotlight) Machine Learning in nanotechnology represents a vibrant fusion of artificial intelligence (AI) with ...

A new generation of farmers is tapping the internet of things and machine learning to operate self-sustaining ... like AbyFarm overcome the challenges of deploying applications such as IoT. ...

3 Machine Learning Applications To Consider. ... including virtual machines, databases, artificial intelligence and machine learning tools, and Internet of Things (IoT) solutions.