Many people have begun experimenting with using machine learning in embedded systems as the two technologies have become more prominent in today’s society. That approach allows for overcoming many of ...

Building on its growing momentum in the market for hybrid transactional/analytical database management systems, Oracle Corp. today added machine learning capabilities ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...

Edge AI is here — faster, smarter, and closer to the data. In Elektor’s upcoming guest-edited edition with Edge Impulse, discover how engineers are building intelligent devices using keyword spotting, ...

Qeexo spun out of Carnegie Mellon University, has for a long time developed multi-touch technology for handset manufacturers which does ML on the device level. It has applied this approach to a new ...

In this motor-control demonstration, a Renesas engineer explains how machine learning can help the system detect unbalanced load conditions. In this motor-control demonstration, a Renesas engineer ...

Configurable high-bandwidth RISC-V cores with vector units can be made to directly address challenging applications like machine learning, AI, and other cutting-edge spaces. Semidynamics is a European ...

STMicroelectronics has claimed the first automotive inertial measurement unit (IMU) with embedded machine learning (ML). The new ASM330LHHX automotive IMU with its ML core enables fast real-time ...

Two new high-performance microcontroller groups have been introduced to support compute-intensive embedded applications in ...

MarkLogic Corporation, the next generation data platform provider for simplifying data integration, announced Embedded Machine Learning and other features in the latest versions of the ...