公开(公告)号：US11676024B2

公开(公告)日：2023-06-13

申请号：US15999769

申请日：2017-02-24

Applicant: SRI International

Inventor： Sek Meng Chai ,  David Zhang ,  Mohamed Amer ,  Timothy J. Shields ,  Aswin Nadamuni Raghavan

IPC: G06N3/04 ,  G06N3/084 ,  G06V10/52 ,  G06F18/00 ,  G06F18/21 ,  G06F18/24 ,  G06F18/2413 ,  G06N3/045 ,  G06V10/764 ,  G06V10/82 ,  G06N3/082 ,  G06N3/086 ,  G06N3/044

CPC classification number: G06N3/084 ,  G06F18/00 ,  G06F18/21 ,  G06F18/24 ,  G06F18/2413 ,  G06N3/045 ,  G06V10/52 ,  G06V10/764 ,  G06V10/82 ,  G06N3/044 ,  G06N3/082 ,  G06N3/086

Abstract: Artificial neural network systems involve the receipt by a computing device of input data that defines a pattern to be recognized (such as faces, handwriting, and voices). The computing device may then decompose the input data into a first subband and a second subband, wherein the first and second subbands include different characterizing features of the pattern in the input data. The first and second subbands may then be fed into first and second neural networks being trained to recognize the pattern. Reductions in power expenditure, memory usage, and time taken, for example, allow resource-limited computing devices to perform functions they otherwise could not.

公开(公告)号：US20200057824A1

公开(公告)日：2020-02-20

申请号：US15999553

申请日：2018-08-20

Applicant: SRI International

Inventor： Chih-hung Yeh ,  Karen Myers ,  Mohamed Amer

IPC: G06F17/50 ,  G06N3/04 ,  G06F15/18

Abstract: Techniques are disclosed for using a computation engine executing a machine learning system to generate, according to constraints, renderings of a building or building information modeling (BIM) data for the building, wherein the constraints include at least one of an architectural style or a building constraint. In one example, an input device is configured to receive an input indicating one or more surfaces for the building and one or more constraints. A machine learning system executed by a computation engine is configured to apply a model, trained using images of buildings labeled with corresponding constraints for the buildings, to the one or more surfaces for the building to generate at least one of a rendering of the one or more surfaces for the building according to the constraints or BIM data for the building according to the constraints. Further, the machine learning system is configured to output the rendering or the BIM data.

公开(公告)号：US11468206B2

公开(公告)日：2022-10-11

申请号：US15999553

申请日：2018-08-20

Applicant: SRI International

Inventor： Chih-hung Yeh ,  Karen Myers ,  Mohamed Amer

IPC: G06F30/13 ,  G06N3/04 ,  G06N20/00

Abstract: Techniques are disclosed for using a computation engine executing a machine learning system to generate, according to constraints, renderings of a building or building information modeling (BIM) data for the building, wherein the constraints include at least one of an architectural style or a building constraint. In one example, an input device is configured to receive an input indicating one or more surfaces for the building and one or more constraints. A machine learning system executed by a computation engine is configured to apply a model, trained using images of buildings labeled with corresponding constraints for the buildings, to the one or more surfaces for the building to generate at least one of a rendering of the one or more surfaces for the building according to the constraints or BIM data for the building according to the constraints. Further, the machine learning system is configured to output the rendering or the BIM data.