Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...

Research shows how artificial intelligence is revolutionizing plastics manufacturing through material development and process ...

As organizations integrate data-driven insights into their operations, predictive screening models are emerging as both a ...

Earthquake forecasting tools powered by AI can forecast the risk of aftershocks seconds after the initial tremor, a new study ...

Machine learning is increasingly recognized as a pivotal tool in the evolution of cardiovascular medicine, promising to ...

Akur8, the insurance pricing and reserving solution powered by machine learning, announced the opening of its new office in ...

Biological neural networks are immensely complex systems underlying all aspects of cognition and behavior. Despite significant advances in neuroscience, a ...

Researchers at örebro University have developed two new AI models that can analyze the brain's electrical activity and ...

In both cases, it would be better to train the machine learning model with a loss function that ignores the human’s objective and then adjust predictions ex post according to that objective. We ...

The researchers combined temporal convolutional networks and long short-term memory networks for analysing the signals.

Fiscal 2025 GAAP diluted net earnings per share ("EPS") of $2.65, down 5.7% from the prior year periodFiscal 2025 non-GAAP diluted net EPS of $3.12, down 9.0% from the prior year periodFiscal 2025 net ...

But most of the AI influencing your financial life is invisible. It operates inside the systems banks, lenders and insurers ...