An international research team developed CyberSentry, a software framework using advanced deep learning and optimization techniques to enhance cybersecurity in SCADA systems for power plants and ...

Recommender systems suggest potentially relevant content by evaluating user preferences and are essential in reducing ...

Shallem, Greg Ravikovich and Eitan Har-Shoshanim examine how AI addresses the challenge of data overload in solar PV.

To “computerise the Odù into drones” therefore means embedding a carefully curated, structured and permissioned digital ...

Exner said the discipline emerging to solve that challenge is context engineering,: the process of delivering relevant ...

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To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...

Using a single 3D deep learning model, researchers from Edith Cowan University (ECU) are able to detect three major causes of road accidents simultaneously – blood alcohol concentration, fatigue and ...

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DoorDash has launched a multimodal machine learning system that aligns product images, text, and user queries in a shared ...

A recent LLVM compiler submission provides another technical indicator of how AMD is shaping its next-generation RDNA 5 graphics architecture, also associated with the broader UDNA transition.

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