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 ...
Selective unlearning helps mitigate legal risks by allowing hospitals to comply with patient data removal requests. If a ...
Threat intel gets useful when you stop chasing feeds and start mapping flows — ULM shows how attacks actually move, so CISOs ...
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 ...
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 ...
Discusses Positive Topline Results From DELIVER Registrational Expansion Cohort in Duchenne Muscular Dystrophy December ...
Every bit of technology fails eventually, whether time, wear-and-tear, adverse conditions, or perhaps a mixture of all three ...
One of the three primary annual conferences in ML and AI research, NeurIPS 2025 is taking place Dec. 2-7 at the San Diego Convention Center.
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback