I believe an approach to machine learning deployment that’s based on an industry standard, language-agnostic, and able to represent a broad range of algorithms is the clear path forward.

Machine learning (ML) has rapidly become one of the most influential technologies across industries, from healthcare and ...

Designed to support the entire machine learning lifecycle -- from data ingestion and model training to deployment and monitoring -- Azure ML is empowering developers to integrate predictive ...

ModelCat™ (formerly Eta Compute), a pioneer in agentic AI model creation, today announced the launch of eIQ® Model Creator powered by ModelCat, an exclusive version of its AI model building software ...

The system is designed to dismantle batteries in two phases—from battery pack to module and from module to cell level.

Development and implementation of a digital remote symptom monitoring program (RESPONSe) to support patients undergoing IV chemotherapy at a community ambulatory cancer clinic in Richmond, BC, Canada.

Gynecological cancers, including breast, ovarian, and cervical malignancies, account for a significant global health burden among women. The review outlines how a spectrum of machine learning (ML) ...