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 ...
Multiply raises $9.5 million to bring AI driven self learning advertising to B2B, using CRM and sales data to continuously ...
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 ...
Though new regulatory frameworks address fairness, accountability, and safety in AI systems, they often fail to directly mitigate the subtle communication bias in LLMs that can distort public ...
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