公开(公告)号：US20240104583A1

公开(公告)日：2024-03-28

申请号：US18358271

申请日：2023-07-25

Applicant: Massachusetts Institute of Technology

Inventor： Anantha Chandrakasan ,  Benedetto Marelli ,  Hui Sun ,  Saurav Maji

IPC: G06Q30/018 ,  G06Q50/02 ,  H04L9/32

CPC classification number: G06Q30/0185 ,  G06Q50/02 ,  H04L9/3278

Abstract: Compositions are provided that include a first product with a physical unclonable function (PUF) tag including silk particles conformably and directly attached to the first product, wherein the PUF tag cannot be reattached to a second product once removed from the first product.

公开(公告)号：US20210098074A1

公开(公告)日：2021-04-01

申请号：US16585679

申请日：2019-09-27

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION ,  MIT Massachusetts Institute of Technology

Inventor： Lingfei Wu ,  Siyu Huo ,  Tengfei Ma ,  Pin-Yu Chen ,  Zhao Qin ,  Eugene Jungsup Lim ,  Francisco Javier Martin-Martinez ,  Hui Sun ,  Benedetto Marelli ,  Markus Jochen Buehler

IPC: G16B5/00 ,  G06N3/08 ,  G06N3/04 ,  G16B15/20 ,  G16B40/00

Abstract: A method, computer system, and a computer program product for designing one or more folded structural proteins from at least one raw amino acid sequence is provided. The present invention may include computing one or more character embeddings based on the at least one raw amino acid sequence by utilizing a multi-scale neighborhood-based neural network (MNNN) model. The present invention may then include refining the computed one or more character embeddings with at least one set of sequence neighborhood information. The present invention may further include predicting one or more dihedral angles based on the refined one or more character embeddings.

公开(公告)号：US20230409898A1

公开(公告)日：2023-12-21

申请号：US17842839

申请日：2022-06-17

Applicant: International Business Machines Corporation ,  MIT - Massachusetts Institute of Technology

Inventor： Pin-Yu Chen ,  Siyu Huo ,  Tengfei Ma ,  Lingfei Wu ,  Kai Guo ,  Federica Rigoldi ,  Benedetto Marelli ,  Markus Jochen Buehler

IPC: G06N3/08 ,  G06N3/04

CPC classification number: G06N3/08 ,  G06N3/04

Abstract: A system may include a memory and a processor in communication with the memory. The processor may be configured to perform operations. The operations may include training a neural network and predicting structural feature sets with the neural network. The operations may include producing predicted structures with the neural network using the structural feature sets, converting the predicted structures into predicted graphs with predicted edges, and comparing predicted graphs to training graphs and predicted edges to training edges to obtain a comparison. The operations may include training a model with the comparison, constructing a graph with the neural network using a node feature set, and reducing missing edges in the graph with the model.