Large Language Models Get All the Hype, but Small Models Do the Real Work

For many tasks in corporate America, it’s not the biggest and smartest AI models, but the smaller, more simplistic ones that ...
Harvard Business Review

Beyond AI: The Other Technologies You Need to Watch

While companies continue to invest strategically and financially in AI, leaders shouldn’t ignore other emerging technologies, ...

Machine learning workflow enables faster, more reliable organic crystal structure prediction

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
AlphaGalileo

Faster and More Reliable Crystal Structure Prediction of Organic Molecules

Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials ...
Scientific Research Publishing

Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning ()

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...
Scientific Research Publishing

Estimating Average and Heterogeneous Effects of Special Education: A Causal Machine Learning Perspective ()

Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...
Frontiers

Computational Nanoscience in the Quantum and AI Era: Integrating Biomolecular and Materials Modeling

The past decade has witnessed remarkable advances in computational power, algorithms, and theoretical methods, enabling accurate modeling and prediction of ...
eLife

CellCover Defines Marker Gene Panels Capturing Developmental Progression in Neocortical Neural Stem Cell Identity

This study offers a valuable methodological advance by introducing a gene panel selection approach that captures combinatorial specificity to define cell identity. The findings address key limitations ...
Communications of the ACM

Shields for Safe Reinforcement Learning

Evaluating the advantages and potential drawbacks of shielding as a method for safe RL. Bettina Könighofer is an assistant ...
IEEE

Optimizing XGBoost Hyperparameters for Credit Scoring Classification Using Weighted Cognitive Avoidance Particle Swarm

Abstract: Decision trees in machine learning achieved satisfactory performance in classification. Decision trees offer the advantage of handling high-dimensional and complexly correlated data through ...
IEEE

Meta-Learning Hyperparameters for Parameter Efficient Fine-Tuning

Abstract: Training large foundation models from scratch for domain-specific applications is almost impossible due to data limits and long-tailed distributions — taking remote sensing (RS) as an ...
Devdiscourse

Forecasting economy’s future: Shrinkage-based AI models deliver greater accuracy and stability

The study departs from conventional mean-based economic forecasting by focusing on quantile prediction, a technique that ...