Lam H Nguyen

US Patent:

7376032, May 20, 2008

Filed:

Jun 1, 2006

Appl. No.:

11/421497

Inventors:

Lam Van Nguyen - Cupertino CA, US
Quan Nguyen - Cupertino CA, US

Assignee:

QUALCOMM Incorporated - San Diego CA

International Classification:

G11C 7/02

US Classification:

365210, 365214, 36518909

Abstract:

A dummy SRAM cell for use in a dummy bit line circuit uses the same transistors as used in a standard SRAM cell, which includes first and second subsets of transistors configured as first and second bit line output circuits. The dummy SRAM cell includes the same first and second subsets of transistors, with the first transistors configured as a dummy bit line output circuit having substantially the same electrical characteristics as the first bit line output circuit of the standard SRAM cell. Further, the second transistors, which are not otherwise needed for the dummy SRAM cell function, are reconfigured as a voltage tie circuit for the dummy bit line output. Using the second transistors for this purpose obviates the need to add additional transistors to form a voltage tie circuit for configuring the dummy bit line output circuit as a load or driver for the dummy bit line.

US Patent:

20220414433, Dec 29, 2022

Filed:

Jun 29, 2021

Appl. No.:

17/362721

Inventors:

- Mountain View CA, US
Lam Thanh Nguyen - Mountain View CA, US

International Classification:

G06N 3/06
G06N 3/08

Abstract:

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining network architectures based on synaptic connectivity. One of the methods includes processing a network input using a neural network to generate a network output, comprising: processing the network input using an encoder subnetwork of the neural network to generate an embedding of the network input; processing the embedding of the network input using a first connectivity layer of the neural network to generate a first connectivity layer output; processing the first connectivity layer output using a brain emulation subnetwork of the neural network to generate a brain emulation subnetwork output; processing the brain emulation subnetwork output using a second connectivity layer of the neural network to generate a second connectivity layer output; and processing the second connectivity layer output using a decoder subnetwork of the neural network to generate the network output.

US Patent:

20220414434, Dec 29, 2022

Filed:

Jun 29, 2021

Appl. No.:

17/362747

Inventors:

- Mountain View CA, US
Lam Thanh Nguyen - Mountain View CA, US

International Classification:

G06N 3/06
G06N 3/08

Abstract:

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for implementing connectivity neural network layers. One of the methods includes processing a network input using a neural network to generate a network output, comprising: generating a layer input to a connectivity layer of the neural network based on the network input, wherein the layer input to the connectivity layer comprises a plurality of input values arranged in a plurality of input channels; processing the layer input using the connectivity layer to generate a layer output comprising a plurality of output values arranged in a plurality of output channels; processing the plurality of output channels of the connectivity layer using a brain emulation subnetwork of the neural network to generate a brain emulation subnetwork output; and generating the network output based on the brain emulation subnetwork output.

US Patent:

20220324960, Oct 13, 2022

Filed:

Aug 28, 2020

Appl. No.:

17/638372

Inventors:

- Burlingame CA, US
Lam Nguyen - Union City CA, US
Hangjun Zhan - Foster City CA, US

Assignee:

Kindred Biosciences, Inc. - Burlingame CA

International Classification:

C07K 16/24

Abstract:

Provided are various embodiments relating to anti-IL31 antibodies having enhanced binding to canine IL31 and feline IL31. Such antibodies can be used in methods to treat IL31-induced conditions in companion animals, such as canines and felines. Antibodies with enhanced binding to canine IL31 and feline IL31 are provided Antibody heavy chains and light chains that are capable of forming antibodies that bind canine and feline IL31 are also provided.

US Patent:

20220284279, Sep 8, 2022

Filed:

Mar 3, 2021

Appl. No.:

17/190915

Inventors:

- Mountain View CA, US
Lam Thanh Nguyen - Mountain View CA, US

International Classification:

G06N 3/08
G06N 3/04

Abstract:

In one aspect, there is provided a method performed by one or more data processing apparatus that includes obtaining a point cloud dataset representing a brain of a biological organism. The point cloud dataset includes a collection of brain points that each define a respective spatial location in the brain. The method further includes identifying multiple brain points from the point cloud dataset as being located on a surface of the brain by repeatedly performing operations including initializing a current value of a position parameter and iteratively adjusting the current value of the position parameter until a termination criterion is satisfied. The termination criterion is satisfied if at least one brain point from the point cloud dataset is included in an interior of a shape parameterized by the current value of the position parameter. The operations further include, after determining that the termination criterion is satisfied, identifying each brain point from the point cloud dataset that is included in the interior of the shape parameterized by the current value of the position parameter as being located on the surface of the brain.

US Patent:

20220267414, Aug 25, 2022

Filed:

Jul 30, 2020

Appl. No.:

17/630685

Inventors:

- Burlingame CA, US
Lam Nguyen - Union City CA, US
Ellen Ratcliff - Burlingame CA, US
Richard Chin - San Francisco CA, US
Shyr Jiann Li - Millbrae CA, US

Assignee:

Kindred Biosciences, Inc. - Burlingame CA

International Classification:

C07K 16/08
A61P 31/20

Abstract:

Provided are various embodiments relating to parvovirus antibodies, including caninized, felinized, and chimeric antibodies, that bind to canine and/or feline parvovirus, for example, having improved expression characteristics. In various embodiments, the parvovirus antibodies have ADCC, ADCP, and/or CDC effector functions. In various embodiments, such monoclonal parvovirus antibodies can be used in methods to prevent and/or treat parvoviral infection in subjects, such as dogs and cats. For example, the parvovirus antibodies provided may be used to provide passive immunity against infection with a canine or feline parvovirus.

US Patent:

20220185879, Jun 16, 2022

Filed:

Mar 4, 2022

Appl. No.:

17/687083

Inventors:

- Burlingame CA, US
Lam Nguyen - Union City CA, US
Lan Yang - Union City CA, US
Hangjun Zhan - Foster City CA, US

Assignee:

Kindred Biosciences, Inc. - Burlingame CA

International Classification:

C07K 16/24
A61K 39/395
C12N 15/63

Abstract:

Provided are various embodiments relating to anti-IL17A antibodies and IL17Ra ECD polypeptides that bind to IL17A. In various embodiments, such anti-IL17A antibodies or IL17Ra ECD polypeptides can be used in methods to treat IL17-induced conditions in subjects, such as humans or companion animals, such as canines, felines, and equines. Also provided are various embodiments relating to IgG Fc variant polypeptides having one or more amino acid substitutions for reducing binding to C1q and/or CD16. In some embodiments, the IgG Fc variants and/or polypeptides comprising the IgG Fc variants (e.g., fusion polypeptides comprising the IgG Fc variants and the anti-IL17A antibodies and/or IL17Ra ECD polypeptides described herein) may have reduced complement-mediated immune responses and/or antibody-dependent cell-mediated cytotoxicity.

US Patent:

20230004791, Jan 5, 2023

Filed:

Jun 30, 2021

Appl. No.:

17/364444

Inventors:

- Mountain View CA, US
Lam Thanh Nguyen - Mountain View CA, US

International Classification:

G06N 3/08
G06N 3/04

Abstract:

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for implementing brain emulation neural networks using compressed matrix representations. One of the methods includes obtaining a network input; and processing the network input using a neural network to generate a network output, comprising: processing the network input using an input subnetwork of the neural network to generate an embedding of the network input; and processing the embedding of the network input using a brain emulation subnetwork of the neural network, wherein the brain emulation subnetwork has a brain emulation neural network architecture that represents synaptic connectivity between a plurality of biological neurons in a brain of a biological organism, the processing comprising: obtaining a compressed matrix representation of a sparse matrix of brain emulation parameters; and applying the compressed matrix representation to the embedding of the network input to generate a brain emulation subnetwork output.