Scientists have created a novel probabilistic model for 5-minutes ahead PV power forecasting. The method combines a ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and ...

Modern AI technology is data-hungry. In many areas, data is scarce. For example, in our work in early oncology clinical trials, we only have data on about 20 patients, so we tend to use theory-based ...

The enormous computing resources needed to train neural networks for artificial intelligence (AI) result in massive power consumption. Researchers have developed a method that is 100 times faster and ...

Probabilistic safety assessment (PSA) has contributed significantly to the understanding of how best to ensure the safety of nuclear power plants. By means of PSA, a nuclear power plant, including its ...

Scientists utilising data gathered at the Northern Territory’s Desert Knowledge Australia Solar Centre have created a novel ...

MIT biological engineers have now developed a new computational method for extracting useful information from these datasets.