*Please note, this event has been cancelled* Title: From Carthage to the World Abstract: We will discuss major contributions to the field of rearrangement inequalities in the continuous setting and their applications in optics, physics, and other fields. We will also talk about symmetrization in the discrete case, which seems to have very promising applications in computer […]
Title: Towards an Intelligent Self-Learning Network for Science Abstract: Without human intervention, network automation promises configuration, management, testing, deployment, and network infrastructure operations. Although a self-driving network is still at its early stage, many time-consuming and complex network management tasks are being automated; thanks to the virtualization of network components, software-defined networking, advancements in artificial intelligence, […]
Title: Physics-constrained data-driven methods for accurately accelerating simulations Abstract: A data-driven model can be built to accurately accelerate computationally expensive physical simulations, which is essential in multi-query problems, such as inverse problem, uncertainty quantification, design optimization, and optimal control. In this talk, two types of data-driven model order reduction techniques will be discussed, i.e., the […]
Title: Nonlinear Optimization at the National Labs Abstract: We review a range of challenging DOE applications in design and control that are formulated as nonlinear optimization problems, ranging from the modeling of gas and electricity networks, over the design of new materials, to the analysis of complex data. We show how research into new algorithms […]
Title: Democratizing Deep Learning Development with DeepHyper Abstract: In recent years, deep neural networks (DNNs) have achieved considerable success in learning complex nonlinear relationships between features and targets from large datasets. Nevertheless, designing high-performing DNN architecture for a given data set is an expert-driven, time-consuming, trial-and-error manual task. A major bottleneck in the construction of […]