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 ...

Smart IoT devices that interact intelligently with their users are appearing in many application areas. Increasingly, these devices apply machine learning technology for processing captured sensor ...

According to IDC, the most common use cases for machine learning and IoT data will be predictive maintenance, followed by analysing CCTV surveillance, smart home applications, in-store ...

Machine learning is key to analyzing the enormous, repetitious volumes of data flowing from vast, always-on IoT networks -- such as the 4,000 GB of data that each autonomous car will generate ...

Today, technical advances such as lower power chips, better connectivity, and advanced artificial intelligence (AI) and machine learning (ML) are unlocking new Internet of Things (IoT) use cases.

Machine learning can have a greater impact on people’s lives when applied to the industrial internet of things (IoT) than in consumer applications, according to a machine learning expert at GE ...

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 ...

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 ...