A team of students from the LSU Shreveport Artificial Intelligence and Machine Learning Lab won first place at the national ...

The architectural design-space exploration (or DSE) process-whether manual or automated-benefits greatly from knowing the limits of the metrics of interest in advance. Data movement is rapidly ...

Data stream clustering is a critical operation in various real-world applications, ranging from the Internet of Things (IoT) to social media and financial systems. Existing data stream clustering ...

We present a high-throughput, end-to-end pipeline for organic crystal structure prediction (CSP)─the problem of identifying the stable crystal structures that will form from a given molecule based ...