公开(公告)号：US20220012646A1

公开(公告)日：2022-01-13

申请号：US17378988

申请日：2021-07-19

Applicant: BROWN UNIVERSITY

Inventor： Brenda RUBENSTEIN ,  Jacob Karl ROSENSTEIN ,  Christopher ARCADIA ,  Shui Ling CHEN ,  Amanda Doris DOMBROSKI ,  Joseph D. GEISER ,  Eamonn KENNEDY ,  Eunsuk KIM ,  Kady M. OAKLEY ,  Sherief REDA ,  Christopher ROSE ,  Jason Kelby SELLO ,  Hokchhay TANN ,  Peter WEBER

IPC: G06N99/00

Abstract: The invention provides methods for computing with chemicals by encoding digital data into a plurality of chemicals to obtain a dataset; translating the dataset into a chemical form; reading the data set; querying the dataset by performing an operation to obtain a perceptron; and analyzing the perceptron for identifying chemical structure and/or concentration of at least one of the chemicals, thereby developing a chemical computational language. The invention demonstrates a workflow for representing abstract data in synthetic metabolomes. Also presented are several demonstrations of kilobyte-scale image data sets stored in synthetic metabolomes, recovered at >99% accuracy.

公开(公告)号：US20230027270A1

公开(公告)日：2023-01-26

申请号：US17929279

申请日：2022-09-01

Applicant: Brown University

Inventor： Brenda RUBENSTEIN ,  Jacob Karl ROSENSTEIN ,  Christopher ARCADIA ,  Shui Ling CHEN ,  Amanda Doris DOMBROSKI ,  Joseph D. GEISER ,  Eamonn KENNEDY ,  Eunsuk KIM ,  Kady M. OAKLEY ,  Sherief REDA ,  Christopher ROSE ,  Jason Kelby SELLO ,  Hokchhay TANN ,  Peter WEBER ,  Dana Jo Biechele-Speziale ,  Selahaddin GUMUS

IPC: G06N99/00

Abstract: The invention provides methods for computing with chemicals by encoding digital data into a plurality of chemicals to obtain a dataset; translating the dataset into a chemical form; reading the data set; querying the dataset by performing an operation to obtain a perceptron; and analyzing the perceptron for identifying chemical structure and/or concentration of at least one of the chemicals, thereby developing a chemical computational language. The invention demonstrates a workflow for representing abstract data in synthetic metabolomes. Also presented are several demonstrations of kilobyte-scale image data sets stored in synthetic metabolomes, recovered at >99% accuracy.

公开(公告)号：US20210166159A1

公开(公告)日：2021-06-03

申请号：US17253013

申请日：2019-06-20

Applicant: BROWN UNIVERSITY

Inventor： Brenda RUBENSTEIN ,  Jacob Karl ROSENSTEIN ,  Christopher ARCADIA ,  Shui Ling CHEN ,  Amanda Doris DOMBROSKI ,  Joseph D. GEISER ,  Eamonn KENNEDY ,  Eunsuk KIM ,  Kady M. OAKLEY ,  Sherief REDA ,  Christopher ROSE ,  Jason Kelby SELLO ,  Hokchhay TANN ,  Peter WEBER

IPC: G06N99/00

Abstract: The invention provides methods for computing with chemicals by encoding digital data into a plurality of chemicals to obtain a dataset; translating the dataset into a chemical form; reading the data set; querying the dataset by performing an operation to obtain a perceptron; and analyzing the perceptron for identifying chemical structure and/or concentration of at least one of the chemicals, thereby developing a chemical computational language. The invention demonstrates a workflow for representing abstract data in synthetic metabolomes. Also presented are several demonstrations of kilobyte-scale image data sets stored in synthetic metabolomes, recovered at >99% accuracy.