Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

What if vaccine development didn’t have to take a decade? This piece looks at how AI is helping scientists ask better ...

A senior software engineer at Google took 40 Coursera courses and got multiple grad degrees to shift from business to AI.

A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS) has developed a ...

The scientist, a pioneer in neural networks, warns that ‘the capabilities of artificial intelligence continue to advance at a ...

Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...

Model predicts effect of mutations on sequences up to 1 million base pairs in length and is adept at tackling complex ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

A new study published in the journal of Scientific Reports proposed a potential diagnostic tool by combining deep learning ...

Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving ...