A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...

Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn ...

AI-driven automation is transforming the cloud & data centre industry, enabling predictive maintenance, energy efficiency, ...

IIT Guwahati has released the Data Science & Artificial Intelligence subject this year. Download the GATE Data Science & ...

Two brain regions, M2 and OFC, work together to balance steady habits with flexible learning when choices become uncertain.

The MS-CS on Coursera program is proud to offer the graduate certificate in Artificial Intelligence (AI)! This graduate certificate can be stacked toward the Master of Science in Computer Science on ...

As demand for comprehensive geospatial intelligence grows across sectors from agriculture and forestry to infrastructure ...

AIOps isn’t just a buzzword — it helps teams predict issues before they happen and fix them automatically with smart, ...

This study offers a valuable methodological advance by introducing a gene panel selection approach that captures combinatorial specificity to define cell identity. The findings address key limitations ...

Labeling images is a costly and slow process in many computer vision projects. It often introduces bias and reduces the ability to scale large datasets. Therefore, researchers have been looking for ...

Spiking Neural Networks (SNNs) are a cutting-edge approach to artificial intelligence, designed to emulate the brain's architecture and functionality. Their ...

Validating AI is increasingly getting societal attention. AI safety has been a low priority. No more. I explore validation as ...