Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...

Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...

Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...

Artificial Intelligence in Energy Market was valued at USD 3904 Million in the year 2024 and is projected to reach a revised size of USD 11720 Million by 2031, growing at a CAGR of 17.3% during the ...

Discover how governments employ blockchain analytics to monitor and trace cryptocurrency transactions, enhancing transparency ...

Aims This study aimed to explore ocular and systemic factors associated with pathologic myopia in patients with high myopia ...

Subsurface reservoir engineering has become increasingly pivotal as the world intensifies its focus on sustainable energy systems and effective resource ...

Researchers have developed and validated predictive models to estimate the core pain-processing mechanisms using a limited set of easily accessible, routinely obtainable clinical measures. Researchers ...

New approach methodologies (NAMs) aim to address the limitations of animal models by assessing drug efficacy and safety in a more ethical, human-relevant way. The term ‘NAMs’ encompasses several ...

Customer churn is one of the most consequential threats facing retail banks today. A departing customer doesn’t just represent a loss of current revenue—it also erodes the bank’s long-term growth pote ...

Abstract: The increasing number of facts that banks have access to has led to the need for superior predictive modeling techniques to make knowledgeable decisions. However, conventional modeling ...