In what areas of biology, physics, chemistry, and other sciences is deep learning being used?

Combining the information bottleneck model with deep learning by replacing mutual information terms with deep neural nets has proven successful in areas ... Feb 18, 2025 ... ... for groundwater level simulation: what is the best way to leverage regionalised information? ... intelligence (AI) algorithms, especially deep ... Mar 24, 2024 ... Graph neural networks (GNNs) have achieved state-of-the-art results on many graph representation learning tasks by exploiting statistical ... In order to produce accurate and trustworthy landslide susceptibility maps, researchers have already developed multilayer neural networks using deep learning to ... Apr 5, 2019 ... GI prediction is a long-standing problem. The proposed machine learning methods include statistical correlation, mutual information [7], ... The major differences between the approaches based on the aforementioned steps were given by the design choice around combining spatio-temporal information. Feb 12, 2025 ... ... machine learning by efficiently targeting the most informative samples for model training ... deep learning works well with large amounts of ... There is an important challenge in systematically interpreting the internal representations of deep neural networks (DNNs). Existing techniques are often ... Jun 26, 2023 ... Difference Between Active Learning and Passive Learning ... of machine learning models by selecting the most informative samples for labeling. Sep 22, 2022 ... ... for each with machine learning, neural networks, and deep learning ... The fundamental difference between GPUs and CPUs is that CPUs are ideal for ...