The El Niño-Southern Oscillation (ENSO), the most prominent interannual climate variability signal, has been widely studied for its teleconnections with Antarctic sea ice variability. However, its ...

Physics-informed neural networks were tested for their capabilities in predicting concentration profiles in gradient liquid ...

A new study from Penn State suggests that artificial intelligence, specifically machine learning, could help predict ...

AI could revolutionize anxiety treatment! By analyzing data, it helps clinicians personalize care for generalized anxiety ...

Individuals with generalized anxiety disorder (GAD), a condition characterized by daily excessive worry lasting at least six months, have a high relapse rate even after receiving treatment. Artificial ...

A research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed an advanced ...

Sensor degradation poses a critical yet often overlooked challenge in accurately predicting the remaining useful life (RUL) ...

Investors and pension schemes looking to analyse climate risks can now utilise new tools from a university spin-out that takes ...

A partnership between LightSolver and Ansys focuses on optimizing computational tasks to reduce development times and costs ...

To deliver advanced technologies faster, Northrop Grumman drew on its decades of data to create a new type of workflow, one ...

AI has been replete with false claims since its inception, fueled in part by a widespread knowledge gap. Those without a ...

GDP prediction is a complex task, influenced by multiple economic factors such as government expenditure, foreign direct investment (FDI), remittance inflows, inflation, and official development aid.