The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 ...

A machine learning (ML) model might retrain or drift between quarterly operational syncs. This means that, by the time an ...

Behavior-Derived Intelligence Transforms How Recovery Is Supported, Measured, and Sustained Human behavior leaves a ...

Guangdong province on Wednesday launched a new online platform to provide lifelong learning opportunities for its more than 129 million residents, as the southern economic powerhouse seeks to ...

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

Specifically, PolicyEngine and TuningEngine work in tandem within the VAST DataEngine to create AI systems and interactions that are trusted, explainable, and continuously learning. PolicyEngine ...

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...

Stuart Feld shares practical insights on scaling AI responsibly with human-in-the-loop governance in financial services.

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 possible variants-more combinations than atoms in the observable universe.

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

AI agents have massive potential, but businesses still working to secure their human and machine identities are hesitant to embrace them with open arms. To move forward safely, it’s important to look ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...