A recent joint study between Linköping University and the Department of Forensic Genetics and Forensic Toxicology of the ...

Importantly, explainable AI is beginning to be integrated into these systems, offering pathways to clarify how models reach their conclusions. This emerging focus on interpretability is seen as ...

SMEs are widely recognized as the backbone of Europe’s economy, yet many face persistent challenges in accessing equity ...

The intersection of artificial intelligence and healthcare continues to unlock unprecedented opportunities for improving patient outcomes and operational efficiency. As healthcare organizations ...

A research team led by the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) has built and ...

A breakthrough in nuclear physics at Florida Polytechnic University has created an advanced machine learning model that predicts nuclear binding energies with unprecedented accuracy, helping ...

As a scholar in materials and mechanics, Academician Zhang Tongyi has made significant contributions to the development of ...

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...

Catalysts play an indispensable role in modern manufacturing. More than 80% of all manufactured products, from ...

How do humans manage to adapt to completely new situations and why do machines so often struggle with this? This central question is explored by researchers from cognitive science and artificial ...

Renewable energy challenges are universal, so VIBRIS was built to be geography-agnostic. It learns vibration patterns from any turbine fleet, adapting to local conditions.