ABSTRACT: Foot-and-Mouth Disease (FMD) remains a critical threat to global livestock industries, causing severe economic losses and trade restrictions. This paper proposes a novel application of ...

ABSTRACT: Foot-and-Mouth Disease (FMD) remains a critical threat to global livestock industries, causing severe economic losses and trade restrictions. This paper proposes a novel application of ...

Project-based learning is widely recognized as an effective pedagogical approach in software engineering education, fostering real-world problem-solving, collaboration, and the integration of theory ...

From roller coasters and farm equipment to discrete and batch manufacturing, inductive sensors enable precise metal detection and automation across every industry. Learn more about their diverse ...

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

Inductive logic programming (ILP) and machine learning together represent a powerful synthesis of symbolic reasoning and statistical inference. ILP focuses on deriving interpretable logic rules from ...

Logic and probability provide two distinct frameworks for modeling how rational agents ought to draw inferences and learn from the available data in the face of uncertainty. The aim of this conference ...

As Harvard Business School Online (HBS Online) marks a decade of growth and success, it is a moment of reflection and forward-thinking for the entire team. Since its launch in 2014, HBS Online has ...

One thing that’s clear about the IT/OT convergence in manufacturing is that, when it comes to OT (operations technology) data, IT will likely have the final say in how it’s managed and transmitted ...

This is my 23rd year as a teacher, and I’ve developed a number of strong opinions related to education during that time. Today’s post is the first in an occasional series where I’ll share some of them ...

Machine learning research aims to learn representations that enable effective downstream task performance. A growing subfield seeks to interpret these representations’ roles in model behaviors or ...

Graph Transformers (GTs) have successfully achieved state-of-the-art performance on various platforms. GTs can capture long-range information from nodes that are at large distances, unlike the local ...