A common pitfall in digital healthcare is treating data governance as a secondary compliance task rather than a foundational ...

Machine learning has rapidly become integral to the advancement of geoscience, a field inundated with complex and multivariate data from myriad sources such ...

Abstract: In-network machine learning (ML) offers a cutting-edge approach for promptly detecting malicious traffic. Existing methods often rely on one-size-fits-all ML models that fail to adapt to ...

Company outlines data-driven appraisal, internal redeployment matching, and marketplace liquidation workflows designed ...

Abstract: Inspired by soft-bodied animals, soft continuum robots provide inherently safe and adaptive solutions in robotics, especially suited for applications requiring gentle interactions. However, ...

Ramakrishna Garine is a logistics transformation expert who leverages Python-based automation and integrated analytics to eliminate manual inefficiencies, recovering hundreds of thousands in costs and ...

Feb 10 (Reuters) - Shares of U.S. brokerages fell on Tuesday after wealth management startup Altruist introduced AI-enabled tax planning features, as the still-nascent technology continues to fuel ...

In this tutorial, we build an end-to-end cognitive complexity analysis workflow using complexipy. We start by measuring complexity directly from raw code strings, then scale the same analysis to ...

AI-based platforms are transforming how we navigate digital ecosystems. Using artificial intelligence, these platforms analyze vast datasets, enabling personalized content recommendations, enhanced ...

1 Obstetrics and Gynaecology, Hamad Medical Corporation, Doha, Qatar. 2 Medicine and Surgery, Ahfad University for Women, Khartoum, Sudan. 3 Medical Relations and Treatment Abroad, Ministry of Public ...

If you’ve ever stared at a screen wondering what matters most — or worse, what to trust — you're not alone. The idea of being a “data-driven leader” sounds smart, strategic even, especially for ...