Michael Joseph Potter

US Patent:

20220351950, Nov 3, 2022

Filed:

Jul 13, 2022

Appl. No.:

17/864110

Inventors:

- Milpitas CA, US
Michael A. Potter - Huntington Beach CA, US
Dhairya Shrivastava - Los Altos CA, US

International Classification:

H01J 37/32
H01L 21/677
C23C 14/34
H01L 21/673
C23C 14/56
C23C 14/50

Abstract:

Various embodiments herein relate to carriers for supporting one or more substrate as the substrates are passed through a processing apparatus. In many cases, the substrates are oriented in a vertical manner. The carrier may include a frame and vertical support bars that secure the glass to the frame. The carrier may lack horizontal support bars. The carrier may allow for thermal expansion and contraction of the substrates, without any need to provide precise gaps between adjacent pairs of substrates. The carriers described herein substantially reduce the risk of breaking the processing apparatus and substrates, thereby achieving a more efficient process. Certain embodiments herein relate to methods of loading substrates onto a carrier.

US Patent:

20220277195, Sep 1, 2022

Filed:

Jan 26, 2022

Appl. No.:

17/648996

Inventors:

- Waukesha WI, US
Michael Potter - Concord CA, US
Venkata Ratnam Saripalli - Danville CA, US

International Classification:

G06N 3/08

Abstract:

Techniques regarding autonomous data augmentation are provided. For example, one or more embodiments described herein can regard a system comprising a memory that can store computer-executable components. The system can also comprise a processor, operably coupled to the memory, that executes the computer-executable components stored in the memory. The computer-executable components can include a data augmentation component that executes a random unidimensional augmentation algorithm to augment a dataset for training a machine learning model via a plurality of augmentation operations. The random unidimensional augmentation algorithm can employ a global augmentation parameter that defines: a distortion magnitude associated with the plurality of augmentation operations, and a number of augmentation operations included in the plurality of augmentation operations.

US Patent:

20200381223, Dec 3, 2020

Filed:

Mar 7, 2019

Appl. No.:

15/733514

Inventors:

- Milpitas CA, US
Michael Potter - Huntington Beach CA, US
Dhairya Shrivastava - Los Altos CA, US

International Classification:

H01J 37/32
H01L 21/677
C23C 14/34
H01L 21/673
C23C 14/56
C23C 14/50

Abstract:

Various embodiments herein relate to carriers for supporting one or more substrate as the substrates are passed through a processing apparatus. In many cases, the substrates are oriented in a vertical manner The carrier may include a frame and vertical support bars that secure the glass to the frame. The carrier may lack horizontal support bars. The carrier may allow for thermal expansion and contraction of the substrates, without any need to provide precise gaps between adjacent pairs of substrates. The carriers described herein substantially reduce the risk of breaking the processing apparatus and substrates, thereby achieving a more efficient process. Certain embodiments herein relate to methods of loading substrates onto a carrier.

US Patent:

20200327379, Oct 15, 2020

Filed:

Nov 30, 2019

Appl. No.:

16/699567

Inventors:

- Wauwatosa WI, US
Aritra Chowdhury - San Ramon CA, US
Junpyo Hong - San Ramon CA, US
Hsi-Ming Chang - San Ramon CA, US
Gopal B. Avinash - San Ramon CA, US
Venkata Ratnam Saripalli - San Ramon CA, US
Karley Yoder - Oakland CA, US
Michael Potter - Danville CA, US

International Classification:

G06K 9/62
G06N 3/08
G06N 3/04

Abstract:

An artificial intelligence platform and associated methods of training and use are disclosed. An example apparatus includes a data pipeline to: preprocess data using one or more preprocessing operations applied to features associated with the data; and enable debugging to visualize the preprocessed data. The example apparatus includes a network to: instantiate one or more differentiable operations in a training configuration to train an artificial intelligence model; capture feedback including optimization and loss information to adjust the training configuration; and store one or more metrics to evaluate performance of the artificial intelligence model. The example apparatus includes an estimator to: store the training configuration for the artificial intelligence model; configure the pipeline and the network based on the training configuration; iteratively link the pipeline and the network based on the training configuration; and initiate training of the artificial intelligence model using the linked pipeline and network.

US Patent:

20170055512, Mar 2, 2017

Filed:

Sep 19, 2016

Appl. No.:

15/269859

Inventors:

- Oakland CA, US
- Lexington KY, US
Megan Szyndler - Irvine CA, US
Kenneth F. Haynes - Lexington KY, US
Michael F. Potter - Lexington KY, US

Assignee:

The Regents of the University of California - Oakland CA
The University of Kentucky Research Foundation - Lexington KY

International Classification:

A01M 1/10
A01M 99/00

Abstract:

Novel devices and methods of capturing, controlling and preventing infestation of insects using microfabricated surfaces are provided. In particular, a mechanism of insect capture inspired by the microstructures of the leaf surfaces of plants and the key features of those surfaces with respect to the capture and control of pests have been determined and engineered into a variety of microfabricated surfaces capable of reproducing the effectiveness of these physical capture methods.