In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

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 ...

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

Zero knowledge proofs enhance transparency while maintaining confidentiality in decision-making processes. Lagrange is ...

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

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Could the Innovation in Non-Human Identities Be the Key to Enhanced Secrets Security? Where progressively leaning towards automation and digital transformation, how can we ensure that the creation and ...

How Can Non-Human Identities Reshape Cybersecurity in Crisis Management? Have you ever considered the hidden guardians of digital infrastructure? These are the often overlooked Non-Human Identities ...

Researchers have developed a new machine-learning-assisted approach to optimize micro-electro-discharge machining (µ-EDM) of ...

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

Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.