Machine Learning And Cryptography: Revolutionizing Data Security
As we move further into the digital age, the partnership between ML and cryptography will be crucial in protecting our data ...
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Machine Learning and Explainable AI revolutionize diabetes prediction
While ML models are powerful tools for predicting diabetes, their lack of interpretability presents a major challenge for clinical adoption. Healthcare professionals require AI models to not only be ...
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Explainable Machine Learning to Predict Treatment Response in Advanced Non–Small Cell Lung Cancer
Using a real-world, nationwide electronic health record–derived deidentified database of 38,048 patients with advanced NSCLC, we trained binary prediction algorithms to predict likelihood of 12-month ...
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How Machine Learning is Enhancing Cloud Platform Reliability and Uptime
Hariprasad Sivaraman, USA Cloud platforms have become the foundation of modern digital infrastructure, supporting businesses, applications, and services at an unprecedented scale. However, ensuring ...
Yes, AI Is Capable Of Improving Trust—Here’s How
Ironically, AI, often criticized for exacerbating digital deception and misinformation, holds immense potential to improve ...
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Machine learning offers new framework for heterogeneous catalyst data analysis
More information: Parastoo Semnani et al, A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery, The Journal of Physical Chemistry C (2024).
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Predicting visual field global and local parameters from OCT measurements using explainable machine learning.
Glaucoma is characterised by progressive vision loss due to retinal ganglion cell deterioration, leading to gradual visual field (VF) impairment. The standard VF test may be impractical in some cases, ...