Steven M Schwartz

US Patent:

6678618, Jan 13, 2004

Filed:

Nov 13, 2000

Appl. No.:

09/711625

Inventors:

Steven D. Schwartz - Pelham NY
Vern L. Schramm - New Rochelle NY
Benjamin B. Braunheim - Bronx NY

Assignee:

Albert Einstein College of Medicine of Yeshiva University - Bronx NY

International Classification:

G01N 3100

US Classification:

702 27, 702 19, 706 45, 706 47, 712200

Abstract:

A new method to analyze and predict the binding energy for enzyme-transition state inhibitor interactions is presented. Computational neural networks are employed to discovery quantum mechanical features of transition states and putative inhibitors necessary for binding. The method is able to generate its own relationship between the quantum mechanical structure of the inhibitor and the strength of binding. Feed-forward neural networks with back propagation of error can be trained to recognize the quantum mechanical electrostatic potential at the entire van der Waals surface, rather than a collapsed representation, of a group of training inhibitors and to predict the strength of interactions between the enzyme and a group of novel inhibitors. The experimental results show that the neural networks can predict with quantitative accuracy the binding strength of new inhibitors. The method is in fact able to predict the large binding free energy of the transition state, when trained with less tightly bound inhibitors.

US Patent:

6895396, May 17, 2005

Filed:

Jan 6, 2004

Appl. No.:

10/752259

Inventors:

Steven D. Schwartz - Pelham NY, US
Vern L. Schramm - New Rochelle NY, US
Benjamin B. Braunheim - Bronx NY, US

Assignee:

Albert Einstein College of Medicine of Yeshiva University - Bronx NY

International Classification:

G06F015/18
G06E001/00
G06E003/00
G06G007/00

US Classification:

706 15, 706 21, 706924

Abstract:

A new method to analyze and predict the binding energy for enzyme-transition state inhibitor interactions is presented. Computational neural networks are employed to discovery quantum mechanical features of transition states and putative inhibitors necessary for binding. The method is able to generate its own relationship between the quantum mechanical structure of the inhibitor and the strength of binding. Feed-forward neural networks with back propagation of error can be trained to recognize the quantum mechanical electrostatic potential at the entire van der Waals surface, rather than a collapsed representation, of a group of training inhibitors and to predict the strength of interactions between the enzyme and a group of novel inhibitors. The experimental results show that the neural networks can predict with quantitative accuracy the binding strength of new inhibitors. The method is in fact able to predict the large binding free energy of the transition state, when trained with less tightly bound inhibitors.

US Patent:

7254265, Aug 7, 2007

Filed:

Jan 8, 2003

Appl. No.:

10/338778

Inventors:

Rolf-Dieter Naske - Kakenstorf, DE
Steven M. Schwartz - Brooklyn NY, US
William Hopewell - New Milford CT, US

Assignee:

NewSight Corporation - New York NY

International Classification:

G06K 9/00

US Classification:

382154

Abstract:

A method that improves compensation for hard cuts and/or vertical motion effects in the conversion of 2D images to 3D images, displays 2D images to one eye and computed images to the other eye. Generating the computed images includes using an approximation variable that represents some relationship between the 2D images, such as the speed of motion across two images. Compensating for the hard cut or vertical motion effect includes temporarily setting the approximation variable to a value that makes the left and right eye images more similar (if identical, displaying a 2D image). The approximation variable can be pre-set to a value based on the speed of motion in a scene to be displayed. A method of displaying images in either 2D or 3D may include converting 3D images to 2D images by displaying images computed from images intended for either the left eye or the right eye.

US Patent:

20080085049, Apr 10, 2008

Filed:

Aug 7, 2007

Appl. No.:

11/835188

Inventors:

Rolf-Dieter Naske - Kakenstorf, DE
Steven Schwartz - Brooklyn NY, US
William Hopewell - New Milford CT, US

International Classification:

G06K 9/00

US Classification:

382154000

Abstract:

A method that improves compensation for hard cuts and/or vertical motion effects in the conversion of 2D images to 3D images, displays 2D images to one eye and computed images to the other eye. Generating the computed images includes using an approximation variable that represents some relationship between the 2D images, such as the speed of motion across two images. Compensating for the hard cut or vertical motion effect includes temporarily setting the approximation variable to a value that makes the left and right eye images more similar (if identical, displaying a 2D image). The approximation variable can be pre-set to a value based on the speed of motion in a scene to be displayed. A method of displaying images in either 2D or 3D may include converting 3D images to 2D images by displaying images computed from images intended for either the left eye or the right eye.

US Patent:

20100146380, Jun 10, 2010

Filed:

Sep 26, 2007

Appl. No.:

12/443031

Inventors:

Armand Rousso - New York NY, US
Steven Schwartz - Brooklyn NY, US

Assignee:

ACCOONA CORP. - Jersey NJ

International Classification:

G06F 3/048
G06F 17/00

US Classification:

715234, 715760

Abstract:

An information comparator preview generator that provides interfaces for generating information comparison previews for use in the comparison of advertising that is attractive, easy to navigate and straightforward Such comparison presentations allow consumers to compare and/or navigate through related and/or competing information and/or advertisements side-by-side In one embodiment, the information comparator preview generator allows an advertiser to generate a preview (e g, ad) from an existing web page

US Patent:

20100287049, Nov 11, 2010

Filed:

Jun 6, 2007

Appl. No.:

12/303740

Inventors:

Armand Rousso - New York NY, US
Steven Schwartz - Brooklyn NY, US

International Classification:

G06F 17/30
G06F 3/048
G06Q 30/00

US Classification:

705 1453, 715764, 707769, 707723, 707765, 707E17014

Abstract:

The disclosure details the implementation of an apparatuses, methods, and systems for language neutral search. The disclosure teaches a language neutral search system, which provides a straightforward, unified, and transparent interface that automatically presents users with a search interface that is native to their own language. The language neutral search system, also, dynamically responds and provides search results in the user's native language. As such, this disclosure details, in one embodiment, search-enhancing mechanisms and interfaces that provide language specific search capabilities for searching computer systems, for example, on the World Wide Web. As such, the language neutral search system provides a mechanism allowing a broader audience to better interface and interact with various computer systems. By including such search-enhancing components, the language neutral search system empowers members of society to make use of facilities such as Accoona Corp.'s search site, thereby allowing it to become language neutral in its ability to interact with users.

US Patent:

20100293479, Nov 18, 2010

Filed:

Sep 26, 2007

Appl. No.:

12/443024

Inventors:

Armand Rousso - New York NY, US
Steven Schwartz - New York NY, US

International Classification:

G06F 3/048
G06F 17/30

US Classification:

715760, 715771, 707769, 707E17014

Abstract:

A system for engaging in the comparison of information and/or advertising that is attractive, easy to navigate and straightforward The comparator interface allows users to compare and/or navigate through related and/or competing information and/or advertisements side-by-side In one embodiment, the information comparator interface displays several ads for a user to compare, in such an embodiment a single user selection will generate a side-by-side companson and result in several ad placements simultaneously As such, the information comparator interface may be employed by search engines, product companson engines, advertising, research and other venues The information comparator may act both as an application and as a flexible application program interface (API) that includes advances such as multi-pane viewing, multi-pane information placement, multi-pane click-thrus, comparative information navigations, and/or the like In one embodiment a single selection (e g, click) will present a user with a plurality of related information items (e g, ads)

US Patent:

20100293490, Nov 18, 2010

Filed:

Sep 26, 2007

Appl. No.:

12/443027

Inventors:

Armand Rousso - New York NY, US
Steven Schwartz - Brooklyn NY, US

International Classification:

G06F 3/048

US Classification:

715771

Abstract:

The disclosure details the implementation of an apparatuses, methods, and systems for an information comparator comparison engine. The disclosure teaches an information comparator comparison engine for the determination, generation and presentation of comparison information that is user-friendly, attractive and straightforward. In one embodiment, the information comparator comparison engine provides facilities for the determination, generation and/or presentation of ads and/or other information items in the context of a comparison. The information comparator comparison engine allows for the presentation of multiple comparative information items in numerous contexts and situations. In one embodiment, the information comparator comparison engine may group, tag and/or categorize information items to identify comparable information items. The information comparator comparison engine enhances search mechanisms, research and comparisons regarding information, news, advertising, and/or the like. Further, the information comparator comparison engine may provide a mechanism for analytics that assists in making information searches more efficient and meaningful.

Address:

20 E 68 St, New York, NY 10065

Phone:

5165212299

VIN:

WDDHF8JB2CA604282

Make:

MERCEDES-BENZ

Model:

E-CLASS

Year:

2012