Reliable fault diagnostics in gearboxes is of great importance to industries to improve production quality and reduce maintenance costs. In this paper, an improved evolving fuzzy (iEF) technique is ...

Tech-savvy insurance providers are using AI-powered algorithms to automate underwriting needs and moderate risk.

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

BiGRU, a deep learning model that enhances data recovery in structural health monitoring, ensuring the reliability of bridge ...

From AI adoption to data sharing, see what’s shaping the lab of the future in 2025 – and why education could be the next big ...

Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials ...

As artificial intelligence (AI) becomes a fixture across a broad range of technological fields, AI technology continues to evolve at rapid rates.

Key components of the software supply chain can and should be designed with reasonable confidence that they will not fail. But this requires a shift from the prevailing test-fix-test coding cycles to ...

The human body relies on precise genetic instructions to function, and cancer begins when these instructions get scrambled.

Cardiovascular diagnostic imaging plays a crucial role in modern health care, supporting accurate diagnosis, risk ...

Selecting the right technology to ensure accurate and reliable level measurement can help solve the unique challenges posed by storing and processing solid materials Emerson Advanced measurement ...

Amid all the change, there remains a constant: the quality of an AI model’s outputs is only ever as good as the data that feeds it. Data management technologies and practices have also been advancing, ...