In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
Manufacturing technologies have been the first domain to experience this transformation. The review documents how artificial ...
Using AI and machine learning as transformative solutions for semiconductor device modeling and parameter extraction.
A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...
A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy ...
From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...
In contrast to machine learning (ML), machine unlearning is the process of removing certain data or influences from models as the need arises.