The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...

Chao Hu is at the School of Mechanical, Aerospace, and Manufacturing Engineering, University of Connecticut, Storrs, Connecticut 06269, USA. The second category, data-driven lifetime prediction, uses ...

Using machine learning, an electronic nose can "smell" early signs of ovarian cancer in the blood. The method is precise and, ...

Introduction Artificial Intelligence (AI) enables computers to perform tasks that normally require human intelligence- such as learning from data, recognizing ...

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

While some industries have been slower to explore how they might use AI in their operations, the financial services sector ...

Using machine learning, an electronic nose can "smell" early signs of ovarian cancer in the blood. The method is precise and, ...

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 ...

A review led by Adelaide University researchers has found there's a lack of clear guidelines around the early testing of AI tools in health clinics during a process known as silent trials. The global ...

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

Strong quality cultures analyze this historical execution data to identify flaky tests, unstable code sections and deployment ...

Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could dramatically slash the cost and energy required to develop new lithium-ion ...