The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular biomarkers, including those from OCT angiography, according to data ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

AI brings innovation and greater accuracy to corporate and investment banking. Artificial intelligence, GenAI, and large ...

In a significant step towards building future-ready digital skills among students and youth, the Arunachal Pradesh government has launched an Artificial Intelligence (AI) and Machine Learning (ML) ...

The rapid evolution of technology has placed Artificial Intelligence (AI) at the forefront of the tech industry. AI education is now prevalent across various levels, from schools to corporate training ...

An important federal deadline for identifying and replacing lead and copper service lines is less than two years away. New ...

Overview: Advanced Big data courses equip learners with skills in analytics, machine learning, and data visualization.Hands-on experience with tools like Hadoop ...

Here's an interesting fact: companies that rely on data to make their decisions are more likely to achieve better results.

Overview: In 2025, Java is expected to be a solid AI and machine-learning language.Best Java libraries for AI in 2025 can ease building neural networks, predict ...

“With organizations across every sector accelerating their use of data, there is a tremendous demand for professionals who ...

Digital twins began as static digital models used primarily for visualization and design. The review shows that they have ...

When this data is organized chronologically—tracking changes in a specific metric over time—it becomes time-series data.