As a leader in the artificial intelligence (AI) domain and a recognized expert specializing in embedded machine learning, I have firsthand experience with the profound potential of these emerging ...

The embedded machine learning features mean developers don’t have to extract data from another database to populate training models.

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.

Machine learning embedded A careful separation between machine learning and AI is necessary since both focus on implementing the best possible business solutions.

Can a neural network be constructed entirely from DNA and yet learn in the same way as its silicon-based brethren? Recent ...

"We're thrilled to join the AWS ISV Accelerate Program and bring our embedded machine learning development tools to even more customers," said Zach Shelby, CEO of Edge Impulse.

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

DataSnap, an embedded analytics consultancy based in Newport Beach, California, today announced the expansion of its offerings to include powerful AI-driven decision intelligence giving growth-stage ...