Deploying Digital Twins To Support Decarbonization Efforts
Digital twins could be the catalyst for reduced emissions, as city planners are able to trial run more decarbonization efforts with low operational
Looks at issues related to artificial intelligence technologies, including cognitive computing, deep learning, and machine learning. Considers also supervised and unsupervised learning and natural language processing.
Digital twins could be the catalyst for reduced emissions, as city planners are able to trial run more decarbonization efforts with low operational
In this week's real-time analytics news: The IEEE and the IEEE Standards Association (IEEE SA) announced a program that provides guidance on trustworthy
The study suggests that projects using AI code-generating tools still need some level of human oversight and expertise for critical security
For non-technical staff, the lack of understanding and obfuscation by some developers is one of the lead causes of under-utilization of machine learning …
Thanks to ChatGPT, the genie is out of the bottle with AI-assisted content development. But businesses and individuals would be wise to proceed with caution.
The new multi-year collaboration aims to build an AI supercomputer to handle some of the most sophisticated AI
In this week's real-time analytics news: the NSF launched the AI Institute for Exceptional Educational, which will focus on the speech language pathology needs …
Advances in both computational modeling and machine learning have shown the promise of a clear paradigm shift in personalized medicine. As such, a new research …
Look for a big year ahead for artificial intelligence, but some caution that we will see a “shocking rollout of AI way before it’s mature or ready to
Digital transformations often result in complex application environments. As a result, DevOps, SRE, and IT teams often spend more time triaging incidents and …