David F Benjamin

US Patent:

41034244, Aug 1, 1978

Filed:

Jul 12, 1976

Appl. No.:

5/704124

Inventors:

Adrian Benjamin - Millburn NJ
Walter G. Churgin - Millburn NJ
Frederick Biermann - Maplewood NJ
David W. Benjamin - Millington NJ
Finton P. Cordell - Lutherville MD
Robert M. Tempkin - Rochester NY
Carl A. Zambrano - New York NY
Peter Halasz - West Los Angeles CA

Assignee:

Bergen Brunswig Corporation - Los Angeles CA

International Classification:

A61C 1322

US Classification:

32 32

Abstract:

A three element disposable apparatus for dental cast articulation made of plastic or the like comprising a pair of pivotally attached cup members having grid means for removably mounting plaster casts thereon. A vertical guide pin is lockable in the upper cup member to determine its front displacement from the lower cup member. The inexpensive construction of this articulator makes it possible for each patient case to have its own new articulator.

US Patent:

20220391552, Dec 8, 2022

Filed:

Aug 18, 2022

Appl. No.:

17/820867

Inventors:

- San Francisco CA, US
Danil NAGY - New York NY, US
David BENJAMIN - Brooklyn NY, US
Lorenzo VILLAGI - Brooklyn NY, US

International Classification:

G06F 30/13

Abstract:

A design engine is configured to interact with potential occupants of a structure in order to generate data that defines the usage preferences of those occupants. The design engine generates multiple candidate designs for the structure via a generative design process, and then evaluates each candidate design using a set of metrics determined relative to the usage preferences. Based on these evaluations, the design engine selects at least one candidate design that optimizes the set of metrics across all potential occupants.

US Patent:

20220318440, Oct 6, 2022

Filed:

Apr 1, 2021

Appl. No.:

17/220813

Inventors:

- San Rafael CA, US
David BENJAMIN - Brooklyn NY, US
James STODDART - Atlanta GA, US
Lorenzo VILLAGGI - Brooklyn NY, US
Dale ZHAO - New York NY, US

International Classification:

G06F 30/13
G06F 111/06
G06F 111/04

Abstract:

Techniques are disclosed for designing manufacturing facilities. A design application imports a computer-aided design (CAD) model and metadata associated with a manufacturing facility to generate a data set that specifies geometric and manufacturing constraints of the manufacturing facility. The design application performs optimization operations based on the data set to identify one or more high-performing designs that assign components to docks in the manufacturing facility. The optimization operations can include genetic optimization operations that generate multiple generations of designs, each of which is evaluated based on a travel distance, congestion, and number of turns associated with paths traversed by components for the design.

US Patent:

20220318445, Oct 6, 2022

Filed:

Apr 1, 2021

Appl. No.:

17/220803

Inventors:

- San Rafael CA, US
David Benjamin - Brooklyn NY, US
James Stoddart - Atlanta GA, US
Lorenzo Villaggi - Brooklyn NY, US
Dale Zhao - New York NY, US

International Classification:

G06F 30/17
G06F 30/13
G06F 30/20

Abstract:

Techniques are disclosed for designing manufacturing facilities. A design application imports a computer-aided design (CAD) model and metadata associated with a manufacturing facility to generate a data set that specifies geometric and manufacturing constraints of the manufacturing facility. The design application performs optimization operations based on the data set to identify one or more high-performing designs that assign components to docks in the manufacturing facility. The optimization operations can include genetic optimization operations that generate multiple generations of designs, each of which is evaluated based on a travel distance, congestion, and number of turns associated with paths traversed by components for the design.

US Patent:

20220318446, Oct 6, 2022

Filed:

Apr 1, 2021

Appl. No.:

17/220808

Inventors:

- San Rafael CA, US
David BENJAMIN - Brooklyn NY, US
James STODDART - Atlanta GA, US
Lorenzo VILLAGGI - Brooklyn NY, US
Dale ZHAO - New York NY, US

International Classification:

G06F 30/17
G06F 30/13
G06F 30/20
G06N 3/12

Abstract:

Techniques are disclosed for designing manufacturing facilities. A design application imports a computer-aided design (CAD) model and metadata associated with a manufacturing facility to generate a data set that specifies geometric and manufacturing constraints of the manufacturing facility. The design application performs optimization operations based on the data set to identify one or more high-performing designs that assign components to docks in the manufacturing facility. The optimization operations can include genetic optimization operations that generate multiple generations of designs, each of which is evaluated based on a travel distance, congestion, and number of turns associated with paths traversed by components for the design.

US Patent:

20230060989, Mar 2, 2023

Filed:

Oct 18, 2022

Appl. No.:

18/047607

Inventors:

- San Francisco CA, US
David BENJAMIN - Brooklyn NY, US
Danil NAGY - New York NY, US
Damon LAU - New York NY, US

International Classification:

G06F 30/15
B62D 65/00

Abstract:

In various embodiments, a generative design application generates and evaluates automotive designs. In operation, the generative design application computes a first set of metric values based on a set of metrics associated with design goal(s) and a first set of parameter values for a parameterized automobile model. The generative design application then performs optimization operation(s) on the first set of parameter values based on the first set of metric values to generate a second set of parameter values. Subsequently, the generative design application generates at least one design based on the second set of parameter values that is more convergent with respect to at least one of the design goals than a previously generated design. Advantageously, less time and effort are required to generate and evaluate multiple designs and then optimize those designs relative to more manual prior art approaches.

US Patent:

20230061993, Mar 2, 2023

Filed:

Oct 11, 2022

Appl. No.:

18/045809

Inventors:

- San Francisco CA, US
Daniel NOVIELLO - London, GB
James STODDART - Atlanta GA, US
David BENJAMIN - Brooklyn NY, US
Damon LAU - New York NY, US

International Classification:

G06N 3/04
G06F 17/15
G06N 3/08
G06F 30/15

Abstract:

A design application is configured to generate a latent space representation of a fleet of pre-existing vehicles. The design application encodes vehicle designs associated with the fleet of pre-existing vehicles into the latent space representation to generate a first latent space location. The first latent space location represents the characteristic style associated with the fleet of pre-existing vehicles. The design application encodes a sample design provided by a user into the latent space representation to produce a second latent space location. The design application then determines a distance between the first latent space location and the second latent space location. Based on the distance, the design application generates a style metric that indicates the aesthetic similarity between the sample design and the vehicle designs associated with the fleet of pre-existing vehicles. The design application can also generate new vehicle designs based on the latent space representation and the sample design.

US Patent:

20190347376, Nov 14, 2019

Filed:

Apr 17, 2019

Appl. No.:

16/387526

Inventors:

- San Rafael CA, US
David Benjamin - New York NY, US
Danil Nagy - New York NY, US
Damon Lau - New York NY, US
Daniel Noviello - London, GB

International Classification:

G06F 17/50
G06T 19/00

Abstract:

In various embodiments, an automobile modeling application generates automobile designs. In operation, the automobile modeling application determines a first parameter value associated with a first instance of a first parameterized automobile component. The automobile modeling application then computes a second parameter value associated with a second instance of a second parameterized automobile component based on a structural relationship between the first instance and the second instance. Subsequently, the automobile modeling application generates a computer-aided design (CAD) geometry model for an automobile based on the first parameter value, the second parameter value, and one or more functional relationships defined between two or more instances included in a set of parameterized automobile component instances. Advantageously, because the automobile modeling application automatically propagates changes throughout the automobile design, the amount of time required to make significant changes to the automobile design can be substantially reduced.