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 ...

AI models have demonstrated impressive results in experiments, but deploying them in real-world applications requires combining neural networks with pre- and post-processing steps. Thus the need for ...

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

Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation.

Artificial Intelligence is revolutionizing industries by enabling devices to process data and make decisions locally, ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Artificial intelligence (AI) is generally viewed in terms of a big ...

Nagpur hosted the 4th International Conference on the Paradigm Shifts in Communication, Embedded Systems, Machine Learning ...

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 ...

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 ...

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 ...