As energy companies push AI deeper into industrial operations, success increasingly depends on governance, trusted data, and ...
Abstract: This study proposes an unsupervised deep learning-based (DL-based) approach to precoding design for integrated sensing and communication (ISAC) systems. Designing a dynamic precoder that can ...
When and where the next large earthquake will strike remains one of the most difficult questions in geoscience. Researchers ...
BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
All told, nearly half of all global venture funding went to companies in AI-related fields in 2025, making artificial intelligence by far the leading sector for startup investment. The momentum around ...
Abstract: In the realm of software defect prediction, unsupervised models often step in when labelled datasets are scarce, despite facing the challenge of validating models without prior knowledge of ...
Mechanism-level reproduction of Google's Nested Learning (HOPE) architecture (HOPE blocks, CMS, and Self‑Modifying TITANs), matching the quality bar set by lucidrains' TITAN reference while remaining ...
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