North Carolina State University

Sas Institute Inc.

Rui Liu

Jonathan S Lindsey

Samuel Paul Leeman-Munk

Ruiwen Zhang

Gongfang Hu

Bingfeng (Ben) Ding

Lochan Basnet

A system and method include forecasting a series of future data points in a long sequence time series data using a decoder-only transformer model by dividing the long sequence time series data into a plurality of sequences, converting each sequence of the plurality of sequences into a first vector to obtain a plurality of first vectors, creating a plurality of second vectors from the time stamps associated with the plurality of data points, combining the first vector with the second vector of each sequence of the plurality of sequences to obtain a plurality of third vectors, computing a context matrix from the plurality of third vectors, performing a convolution operation on the context matrix to forecast the series of future data points, and outputting the series of future data points from the prediction layer.

Decoder-only transformer model for time series data

Described herein are polymeric fluorophores that include a dye, a polymer, and optionally a bioconjugate group. A polymeric fluorophore may have a structure represented by: A-B-C or C-A-B, wherein A is a dye; B is a polymer comprising one or more hydrophobic unit(s) and one or more hydrophilic unit(s); and optionally C, wherein C, when present, comprises a bioconjugate group. Also described herein are compositions comprising the polymeric fluorophores and methods of preparing and using the same.

Polymeric fluorophores, compositions comprising the same, and methods of preparing and using the same

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Cary, NC, United States of America

Rui Liu