Tech Times

LLM Data Mixture Breaks When Training Pools Shift: Causal Inference Offers Fix

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.
Frontiers

Coastal Ocean Dynamics and Variability: Observations, Modelling and Prediction

Coastal oceanography focuses on understanding the dynamic physical processes that occur where land meets sea—a region of intense energy exchange, ...
IEEE

A Comprehensive Review of Machine Learning Approaches for Semiconductor Device Modeling and Simulation

Abstract: Application of machine learning (ML) approaches has recently expanded within a wide range of domains, including semiconductor devices. Their strong potential resulted in increasing number of ...
IEEE

A Machine Learning Approach to Explore and Predict Student Motivation Types

Abstract: Motivation plays a significant role in shaping students’ educational outcomes. Understanding the factors that influence student motivation is crucial for enhancing academic performance and ...