Researchers at IIT Bombay have developed predictive models capable of calculating sintering-induced shrinkage in 3D printed ...

When building AI, you change many things at once: code, data, prompts, models. After a few runs, it becomes unclear what actually caused results to improve or regress. LitLogger records every run as ...

Interview Kickstart today announced the release of its latest in-depth career guide, "How to Transition from Data Analyst to Data Scientist," a comprehensive roadmap designed to help working data ...

LIANYUNGANG, JIANGSU, CHINA, February 13, 2026 /EINPresswire.com/ -- The global petrochemical and energy landscape is ...

The demand for artificial intelligence and machine learning talent is accelerating as startups increasingly integrate a ...

Vadzo Imaging offers cutting-edge embedded cameras for USB, MIPI, GigE, Wi-Fi, and SerDes interfaces, facilitating innovation in the domains of healthcare, industrial automation, robotics, edge AI, ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Abstract: Artificial intelligence (AI) models that predict the future behavior of real-world systems and processes (also known as predictive AI models) are central to intelligent decision-making. They ...

BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...

Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...