An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

Can a neural network be constructed entirely from DNA and yet learn in the same way as its silicon-based brethren? Recent breakthroughs indicate that the answer is affirmative, with a molecular ...

The peer-reviewed research, published in npj Climate and Atmospheric Science, assesses the viability of applying a machine learning (ML) weather model to global seasonal forecasts, which are vital for ...

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