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A new AI framework inspired by human memory could make machines more efficient, adaptive, and capable of reasoning. A recent ...
Healthcare is undergoing a profound transformation, driven by cutting-edge analytics that enhance personalized medicine and ...
Sasidhar Reddy Somula highlights the transformative impact of machine learning in fraud detection, demonstrating how ...
It is designed to aid in securing AI applications against attacks that include adversarial manipulation of training data, ...
Achieving more than 60% accuracy in its responses, the pre-training of ChatGPT 4.5 integrated machine learning to make a ten ...
Future fraud prevention strategies will likely involve deeper AI integration, enhanced behavioral biometrics, and adaptive ...
In a rapidly evolving digital landscape, machine learning is at the forefront of computational advancements, revolutionizing industries from healthcare to finan ...
Understanding public support for climate policies is essential in shaping effective strategies to reduce climate change ...
Means, Vehicle Crashes, Dunn’s Partition Coefficient, Machine Learning Share and Cite: Abdulhafedh, A. (2025) Applying K-Means Clustering and Fuzzy C-Means Clustering in Vehicle Crashes. Open Access ...
Thejaswi Adimulam’s journey defies the stereotype of the detached tech professional. From SQL queries to AI-optimized cloud ...
Explore the top AI certifications to boost your career and validate your AI skills. Find the best programs in machine ...
As investments in AI grow and become central to an organization's innovation approach, attacks can become more likely.