Structural health monitoring (SHM) and condition monitoring are crucial processes that ensure reliability and safety of ...

Structural health monitoring (SHM) and condition monitoring are crucial for ensuring reliability and safety of engineering systems across aerospace, civil engineering, and industry. These systems are ...

New Analysis Platform Explores Why Household Tasks and Physical Automation Require Embodied Intelligence Beyond Traditional Computer Approaches The next wave of AI is physical AI. AI that understands ...

Structural variations (SVs), including insertions, deletions, inversions, and substitutions, can profoundly influence gene regulation and phenotype.

Global data demand continues to grow at an exponential rate, driven by emerging applications in cloud computing, artificial intelligence, autonomous systems, and high-bandwidth communications. Even ...

In this tutorial, we demonstrate how to build an advanced yet accessible Bioinformatics AI Agent using Biopython and popular Python libraries, designed to run seamlessly in Google Colab. By combining ...

Reinforcement learning (RL) plays a crucial role in scaling language models, enabling them to solve complex tasks such as competition-level mathematics and programming through deeper reasoning.

The inexpensive and readily accessible electroencephalography (EEG) method allows doctors to characterize the brain’s electrical activity, enabling them to diagnose sleep disorders and seizures.