Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.

Abstract: Software Defect Prediction improves the software's stability and ensures the testing process is streamlined by pointing out issues in code. Software developers can manage and use their ...

Background Suicide rates have increased over the last couple of decades globally, particularly in the United States and among populations with lower economic status who present at safety-net ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

1 Architectural and Civil Engineering, Jinken College of Technology, Nanjing, Jiangsu, China 2 College of Civil Engineering and Architecture, Xinjiang University, Urumqi, Xinjiang, China Therefore, ...

If you’re learning machine learning with Python, chances are you’ll come across Scikit-learn. Often described as “Machine Learning in Python,” Scikit-learn is one of the most widely used open-source ...

Abstract: Developers typically build Machine Learning (ML) models for classification tasks in medical diagnosis. These models can make inferences from unseen data collected from sensors, aiding ...

Background: Some investigators have explored radiomics-based machine learning (ML) models for distinguishing pancreatic ductal adenocarcinoma (PDAC) from mass-forming pancreatitis (MFP). However, ...

Background: Early identification of Type 1 Diabetes Mellitus (T1DM) in pediatric populations is crucial for implementing timely interventions and improving long-term outcomes. Peripheral blood ...