Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified ...
Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...
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Seeing thyroid cancer in a new light: when AI meets label-free imaging in the operating room
Researchers at Duke University combined Dynamic Optical Contrast Imaging (DOCI) with AI to improve thyroid cancer detection ...
As AI Music Tools Proliferate, Detection Technologies and Industry Responses EvolveThe music industry faces an unprecedented ...
Thyroid cancer is the most common endocrine cancer, affecting more people each year as detection rates continue to rise.
The 2025 series of the Decision Advantage Sprint for Human-Machine Teaming marked a significant step forward in the ...
In 2026, the question isn’t whether Kubernetes wins – it already has. And yet, many organizations are running mission-critical workloads on a platform they still treat as plumbing, not the operating ...
IVDs are essential for disease detection, personalized treatment, and public health, driving growth in the global diagnostics ...
The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...
Microsoft has begun out new AI-powered incident prioritization capabilities in Microsoft Defender alongside an expanded suite ...
Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...
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