The environmental impact of artificial intelligence is profound, balancing resource consumption with potential climate ...

Household appliances need to be refurbished and/or recycled at the end of their useful lives. The KIKERP project (see below) aims to harness artificial intelligence to collect information about used ...

The AI-driven revenue cycle management company is launching AwarePre-Bill, a post-discharge auditing tool, which could help hospitals and health systems save an additional $3 million to $4 million ...

Several programs, like OpenSpace, Doxel and Buildots, use cameras to capture a comprehensive visual record of the project site. The cameras may be mounted on hardhats, drones or robots, and the ...

The software engineering community is rapidly adopting machine learning for transitioning modern-day software towards highly intelligent and self-learning systems. However, the software engineering ...

In summary, this comprehensive survey covers the entire machine learning life cycle within the domain of MLOps. It provides valuable insights into MLOps pipelines, challenges, best practices, model ...

This machine learning project could help jumpstart self-driving cars again So far autonomous vehicles just don't seem to be able to do the one essential thing that they should -- predict the ...

“MLops, or machine learning operations, is the practice of collaboration and communication between data science, IT, and the business to help manage the end-to-end life cycle of machine learning ...