If I were learning AI from scratch, I’d focus first on building solid fundamentals in Python, math, and problem-solving ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Explore five free and low-cost AI certifications that help tech professionals build AI skills across cloud, machine learning, ...

I studied computer science at University College Dublin, where the four-year course covered a broad range of topics. We ...

Python''s popularity is surging. In 2025, it achieved a record 26.14% TIOBE index rating, the highest any language has ever ...

Overview: Data mining tools in 2026 focus on usability, scale, and real business impact.Visual and cloud-based platforms are ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...

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 ...

Abstract: In this paper, we have designed and implemented a solution for the detection of cyber threats using supervised machine learning (ML). An effective software program was adapted and refined in ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Additionally, the effects of social media platform type, machine learning approach, and use of outcome measures in depression prediction models need attention. Analyzing social media texts for ...