From guesswork to guidance: How machine learning speeds dopant design for water-splitting photocatalysts

MLIP calculations successfully identify suitable dopants for a novel photocatalytic material, report researchers from the ...
EurekAlert!

AI-optimized decision-making in energy systems: a new approach to integrating machine learning and mathematical programming

Discover how a new AI system is revolutionizing energy management by merging machine learning and mathematical programming. This innovative approach not only boosts prediction accuracy but also ...
GEN - Genetic Engineering and Biotechnology News

Pharma’s AI Investment Signals New Drug Discovery Paradigm

Therapeutic developers are increasingly rebuilding their workflows around AI to bring drugs to patients faster.
IndustryWeek

We’re Data Experts at Ford. Here’s How We See AI Agents Reshaping the Shop Floor.

The AI factory revolution has arrived, but it looks different than the passive analytics of the past decade. The industry is ...
IEEE

Synthetic Gradient Optimization-Based Implicit Amortized Bayesian Meta-Learning for Few-Shot Pumi Spectrographic Image Recognition

Abstract: Meta-learning provides a promising solution to the issue of insufficient training samples in Pumi spectrogram recognition. However, capturing model uncertainty remains a critical challenge, ...
IEEE

Machine Learning in Aircraft Design: A Comprehensive Review of Optimization, Aerodynamics, and Structural Applications

Abstract: Machine learning (ML) with approximation and numerical simulations plays an important role in aircraft design. ML techniques, such as deep learning and reinforcement learning, are ...