More recently, deep learning and evolutionary algorithms have enabled long-term ecological forecasting, carbon emission ...

Without accurate data on water availability, BRIN estimates that the development project in IKN may be hindered by a ...

Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...

While AI is a popular buzzword these days, it's worth noting that the Cambridge team's detector is not based on a large language model like ChatGPT. Instead, the model uses relatively simple machine ...

As climate change intensifies the frequency and severity of tornadoes, meteorologists are turning to artificial intelligence ...

Those who predict that superintelligence will destroy humanity serve the same interests as those who believe that it will ...

Digital twins are playing a critical role in advancing the healthcare sector. With the aim of improving health interventions ...

Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...

Even before thunderstorms over the Pacific Ocean began to significantly build last week, experimental forecasts at the U.S.

The scientists used 2021's Hurricane Nicholas, a Category 1 storm that hit the Houston area, to test the accuracy of their ...

Is your city prepared for flooding caused by extreme rainfall under climate change? In many regions, the uncertainty ...