• Improving Model Accuracy: Researchers are working on improving the accuracy of federated machine learning models. One way to do this is to use techniques such as data augmentation and model ...

Oracle is bundling some popular machine learning applications into the engine, including support for anomaly detection, recommendation and multivariate time series forecasting.

Which, according to Infineon, will deliver support for end-to-end ML development, from data entry to model deployment. Related Content. Key technologies push AI to the edge; How to quickly deploy ...

The current approach to machine learning at 84.51° emerged from an initiative called “Embedded Machine Learning” (EML). Scott Crawford leads the initiative, but it had multiple progenitors ...

Eran Briman, vice president of marketing at CEVA, said: “Our new Deep Neural Network framework for the CEVA-XM4 is the first of its kind in the embedded industry, providing a significant step forward ...

Machine-Learning Tech Speeds Solution Development May 23, 2024 NanoEdge AI Studio from STMicroelectronics is an ML technology that speeds innovation, able to create an optimal ML library for an AI ...

SAN JOSE, Calif.--(BUSINESS WIRE)--SiMa.ai, the machine learning company enabling effortless deployment and scaling at the embedded edge, today announced that it has begun shipping the industry ...

Indeed, the processors in today’s embedded vision systems have the equivalent processing power to machine learning systems from only a few years ago. 4. ALVIUM® Technology. Allied Vision’s range of ...