In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...
Vangalapat led the development of a comprehensive MLOps infrastructure at Broadridge, building CI/CD pipelines, automated ...
AI can be added to legacy motion control systems in three phases with minimal disruption: data collection via edge gateways, non-interfering anomaly detection and supervisory control integration.
Manufacturing technologies have been the first domain to experience this transformation. The review documents how artificial ...
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
Urban life increasingly depends on intelligent systems, because they manage both infrastructure and public services. For ...
A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...
Researchers Yue Zhao and Kang Pu from Stony Brook University—in collaboration with Ecosuite's John Gorman and Philip Court, and leveraging historical datasets provided by Ecogy Energy—have devised a ...
The journey towards autonomous operations involves incremental steps, each bringing businesses closer to a state where systems can independently manage and optimize processes, ensuring sustained ...
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