Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular ...
Abstract: In recent years, the need for continuous and real-time monitoring of civil infrastructures has intensified due to increasing incidences of structural degradation and the limitations of ...
Ulcerative colitis (UC) is a chronic, immune-mediated inflammatory disorder of the colon that follows a relapsing-remitting course. Characterised by mucosal inflammation, the disease requires accurate ...
Detecting behavioural signatures of depression from everyday digital traces is a central challenge in computational psychiatry. Real-world datasets from smartphones and wearables often suffer from ...
This article introduces practical methods for evaluating AI agents operating in real-world environments. It explains how to ...
DoorDash has launched a multimodal machine learning system that aligns product images, text, and user queries in a shared ...
Abstract: Object detection is central to autonomous driving, but deploying detectors on embedded automotive platforms is constrained by tight power and latency budgets. Conventional single-exit ...
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