Large language models (LLMs) have demonstrated remarkable performance across multiple domains, driven by scaling laws highlighting the relationship between model size, training computation, and ...

The 3rd Workshop on Causal Inference and Machine Learning in Practice at KDD 2025 aims to bring together researchers, industry professionals, and practitioners to explore the application of causal ...

The increasing demand for data-driven decision-making has led to the rapid growth of machine learning applications in various industries. However, the ability to draw causal inferences from ...

Teaching inference to kids is an essential part of learning to read and comprehend texts. Inference is the ability to draw conclusions based on evidence and reasoning, and it is a skill that kids will ...

Reichenbach held that all scientific inference reduces, via probability calculus, to induction, and he held that induction can be justified. He sees scientific knowledge in a practical context and ...

The world of artificial intelligence and machine learning (AI/ML) is fragmented into different domains. Two of these domains represent splits between training and inference, and cloud versus edge.