Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...

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

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 ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

Background: Access to safe water, sanitation, and hygiene (WASH) remain public health and sustainable development necessities. While Ghana has made notable progress over the past three decades, ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

Abstract: In this article, we consider the stabilization problem of switched systems consisting of a limited number of unknown linear subsystems regulated by unknown switching signals. To this end, we ...

Abstract: This article presents a robust data-driven predictive control (RDPC) framework for linear time-invariant (LTI) systems affected by bounded disturbances and measurement noise. Unlike ...

College of Health Solutions, Arizona State University, Phoenix, AZ, United States Purpose: When encountering errors, the brain produces within-production corrective responses to compensate for the ...