Artificial intelligence is accelerating the shift of additive manufacturing from prototyping to high-volume production by optimizing workflows, improving quality, and reducing waste. Advances in ...

From self-driving labs to predictive molecular models, AI is reshaping how chemists discover drugs, design materials, and optimize reactions. By integrating automation, machine learning, and human ...

Recently, the global winners of the 2026 Noble Technology Awards have been officially announced. Young data scientist ...

At Pittcon 2026, LCGC International Emerging Leader Award Winner, Bob Pirok, discussed the barriers to fully automated method ...

At Pittcon 2026 in San Antonio, Texas, USA, LCGC International spoke with 2026 LCGC International Emerging Leader Award ...

Abstract: To address the challenges posed by the dynamic time-varying, periodic, and nonlinear characteristics of electricity loads, this study proposes a forecasting framework integrating machine ...

Abstract: Hyperparameter tuning is a crucial step in the development of machine learning models, as it directly impacts their performance and generalization ability. Traditional methods for ...

Unconventional reservoirs, including shale gas, tight oil, and coalbed methane formations, have emerged as vital contributors to global energy security, accounting for a substantial portion of the ...

How can we build AI systems that keep learning new information over time without forgetting what they learned before or retraining from scratch? Google Researchers has introduced Nested Learning, a ...

This project implements state-of-the-art deep learning models for financial time series forecasting with a focus on uncertainty quantification. The system provides not just point predictions, but ...