Despite significant mathematical refinements, econometrics has shown the weaknesses of its logical underpinnings, primarily during economic turning points—financial crises, pandemics, and geopolitical ...

The integration of advanced technologies into the energy sector has led to the emergence of smart grids, which promise enhanced efficiency, reliability, and sustainability in electricity distribution.

Research by Ranga Raya Reddy Eragamreddy reveals how AI orchestration improved EV energy platform workflows and reduced costs.

Sudhir Kumar Rai, Director of Data Science at Trellix, drives responsible generative AI innovation for enterprise systems, ...

Collaboration brings together refrigeration engineering expertise and industrial AI to optimize performance, energy ...

Utilities worldwide are turning to artificial intelligence (AI) and machine learning to stabilize networks, forecast ...

LCGC International’s interview series on the evolving role of artificial intelligence (AI)/machine learning (ML) in separation science continues with Boudewijn Hollebrands from Unilever Foods R&D, ...

Traditional machine learning emphasized predictive accuracy. Generative systems required attention to hallucination mitigation and grounding. Agentic systems shift the challenge again. They do not ...

A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.

How new equipment and methodologies are improving reliability, yield, and time-to-market for multi-die assemblies.

Researchers developed and validated ElasticNet machine learning models that predict 12-month MMSE and BADL outcomes in ...

An accurate assessment of the state of health (SOH) is the cornerstone for guaranteeing the long-term stable operation of ...