Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...

Semiconductors are central to modern technology. They are used in computer chips, solar cells, sensors, LEDs and ...

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

A new study combines Large Language Models and behavioral mathematics to analyze human decision-making text data at scale.

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

The emerging convergence of AI-first design principles and environmental consciousness is reshaping how we think about ...

Kentucky Nonprofit Network (KNN) has named Aimee Jewell Director of Learning and Capacity. In the role, she will lead KNN’s statewide learning strategy, developing trainings, workshops and leadership ...

Artificial intelligence is rapidly changing the job market, automating jobs across industries. Therefore, in such a scenario, upskilling oneself in industry-relevant AI skills becomes even more ...

Abstract: This study examined methods for analyzing data with complex structures, extreme values, and NaN values using machine learning models. The techniques of removing NaN values and using KNN ...

ABSTRACT: This paper proposes a structured data prediction method based on Large Language Models with In-Context Learning (LLM-ICL). The method designs sample selection strategies to choose samples ...

Acute Type A aortic dissection (ATAAD) is characterized by acute onset and rapid progression, with aortic rupture due to dissection extension being the primary lethal mechanism. Timely identification ...