Fragmented naming conventions and unstructured data across PLCs, SCADA, MES and ERP systems undermine even the most advanced ...
Research combining deep learning methodologies with Analytic Hierarchy Process establishes comprehensive frameworks for data security risk ...
There has been a gradual but decisive shift from a welfare-based social assistance to a more participatory inclusion ...
Selective unlearning helps mitigate legal risks by allowing hospitals to comply with patient data removal requests. If a ...
This valuable study investigates how perceptual and semantic features of maternal behavior adapt to infants' attention during naturalistic play, providing new insights into the bidirectional and ...
A new study published in Artif. Intell. Auton. Syst. delivers the first systematic cross-model analysis of prompt engineering ...
Threat intel gets useful when you stop chasing feeds and start mapping flows — ULM shows how attacks actually move, so CISOs ...
The study also highlighted a universal challenge: all LLMs struggled with narrative-style unstructured data (e.g., personal stories), with accuracy dropping to ~40% across prompt styles—underscoring ...
The production of high-quality three-dimensional assets has long been constrained by the technical expertise and time investment required to create professional-grade models. Hyper3D, the flagship ...
This study provides useful insights into addressing the question of whether the prevalence of autoimmune disease could be driven by sex differences in the T cell receptor (TCR) repertoire, correlating ...
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