Significant progress has been made in time series prediction and image processing problems. However, most of the studies have focused on either the field of time series or image processing separately, ...

Football, as one of the most popular sports globally, its unpredictability of match outcomes has long been a topic of significant interest. Accurate prediction of football match outcomes can enhance ...

A method to interpret artificial intelligence (AI) models used in materials discovery by analyzing their learned features has ...

Figure 1. This figure depicts the four categories of protein druggability target screening tools discussed in this section, which include structure-based methods, sequence-based methods, machine ...

A butterfly flaps its wings and weeks later a tornado touches down halfway around the world. Mathematician Edward Lorenz used the butterfly effect to explain chaos theory in the 1960s. Now, decades ...

This fully updated volume explores a wide array of new and state-of-the-art tools and resources for protein function prediction. Beginning with in-depth overviews of essential underlying computational ...

Researchers have shown that blending quantum computing with AI can dramatically improve predictions of complex, chaotic systems. By letting a quantum computer identify hidden patterns in data, the AI ...

Polymarket’s decentralized forecasting has caught Wall Street’s eye. The New York Stock Exchange’s parent, Intercontinental Exchange (NYSE:ICE), made a headline-grabbing US$2 billion investment last ...