A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

About five years ago if you listened to the marketing messages in the EDA industry, you would have thought it would be impossible to produce chips without statistical static timing analysis (SSTA).

High-dimensional -omics data such as genomic, transcriptomic, and metabolomic data offer great promise in advancing precision medicine. In particular, such data have enabled the investigation of ...

Trial and error wafer fabrication is commonly used to study the effect of process changes in the development of FinFET and other advanced semiconductor technologies ...

Learn to address the likelihood of structural failure. Perform risk analysis associated with environmental loads to structures under static and dynamic loadings. Master the basics of performance-based ...

Applied statistics and statistical learning (ASSL) is the process of using data relationships and computer models to drive business value, improve decision-making, and understand human relationships.

The Statistical & Data Sciences (SDS) Program links faculty and students from across the college interested in learning things from data. At Smith, students learn statistics by doing—class time ...

Let’s start with a definition of Applied Statistics: Applied Statistics is the root of data analysis. The practice of applied statistics involves analyzing data to help define and determine an ...