Neutron sources can be directly identified from measured spectra rather than proxies using inference tools adapted from ...

The Multi-source Probabilistic Inference (MUPI) research group studies statistical machine learning and artificial intelligence. We develop new methods and algorithms for coping with uncertainty in ...

Food System Innovations has launched an open-source Food Intelligence Lab to use AI to create better-tasting alternative ...

Abstract: In the satellite lifetime optimization, reliability is a critical issue. For the complex satellite system, Bayesian network (BN) is an important method for reliability modeling and inference ...

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 robust ...

Neither Sakana AI nor its external AI service providers will use customer data or inputs for model training or fine-tuning unless the client provides explicit opt-in consent.

Abstract: Fully utilizing artificial intelligence (AI) algorithms to develop more flexible and robust intelligent control methods is a current hot spot in research. To solve the parameter robustness ...

This is also the official code repository for the paper DeeR-VLA. DeeR-VLA is a framework for dynamic inference of multimodal large language models (MLLMs) designed specifically for efficient robot ...

Find out more about undergraduate study at the School of Electronic Engineering and Computer Science.

Correspondence to Dr Mary Helen Black, Bioinformatics, Ambry Genetics Corp, Aliso Viejo, CA 92656, USA; mblack{at}ambrygen.com Conclusion Our study demonstrates that when used separately or in ...

Overview. Data transformations are a useful companion for parametric regression models. A well-chosen or learned transformation can greatly enhance the applicability of a given model, especially for ...

This is a tentative schedule and is subject to change. Please note that Youtube takes some time to process videos before they become available.