Iterate Studio, Inc.

Turner Broadcasting System, Inc.

Brainerd Sathianathan

Arulkumaran Chandrasekaran

Chatura Samarasinghe

Shomron Jacob

Nishith Kumar Sinha

Donald Jude Loheide

Matthew Paul Giles

Karl-Christian Wolff-Ingham

John Selvadurai

Balaji Gopinath

Jon C Nordmark

Frederick Michael Frazzini

David Ruvalcaba Gonzalez

Niharika Shukla

A system for creating functionality modules for deployment in a workflow for use in visual programming including a configuration server with a processing element operable to implement the functionality modules and workflow, at least one large language model, a customizable functionality module in a workflow including at least one interface defining one or more customizable properties, and wherein the workflow executes a first operational environment different from a second operational environment executed by the large language models.

Large language modules in modular programming

The present disclosure provides for a system for evaluating technology offerings of one or more companies. A database includes a plurality of available technologies associated with one or more tags categorizing the available technology. A user interface receives user input specifying one or more technology parameters. A correlation engine returns one or more available technologies from the database based on a correlation between the one or more received technology parameters and the one or more tags associated with the one or more available technologies. A landscape engine groups the one or more available technologies based on tags and generates an interactive technology opportunity map for display on the user interface.

Technology opportunity mapping

The present disclosure describes systems and methods for storing incoming data and providing access to that data to multiple machine learned models in a data type-agnostic and programming language-agnostic manner. Operationally, a computing device may receive in coming data (e.g., from sensors, etc.). The computing device may store the incoming data in memory blocks, and index the memory blocks with a unique index (e.g., tag). The index may correspond to a determined tier for the memory blocks, and may enable the system to both locate the data once stored and enable the system to read (or use) the data upon receiving, for example, a data access request. In this way, systems and methods described herein provide for a robust data access and transfer mechanism that allows data to be stored a single time, but accessed by one or more different applications, machine learned models, and the like, simultaneously.

Data pipeline and access across multiple machine learned models

A configuration server is provided including one or more processors and a workflow generator executing on the one or more processors. The workflow generator is configured to generate a workflow corresponding to a feature of a service. The configuration server also includes a client user interface configured to receive requests from a client user to enable or disable the feature of the service. A service director is configured to control deployment of the feature of the service by placing the workflow corresponding to the feature in an active state or an inactive state responsive to client requests. Responsive to a determination that the workflow is in the active state, the service director communicates the workflow to a deployment server. The feature associated with the workflow is available to an end user accessing the service when the workflow is communicated to the deployment server.

Dynamic feature loading

The present disclosure relates generally to a method of executing application code developed using a simplified programming interface. I/O tasks and processing intensive tasks are designated as event callbacks in a single event loop runtime environment. The I/O tasks and processing intensive tasks are generated in association with a user request. Tasks associated with event callbacks are offloaded for execution using a resource based multithreading module to allocate the tasks between a plurality of processors based on the current utilization of each of the plurality of processors and an estimation of computing resources for execution of the tasks. The tasks are executed at the allocated processors of the plurality of processors and the user request is fulfilled using results of the executed tasks.

Developer independent resource based multithreading module

The present disclosure relates generally to systems and methods that include a configuration server with a processing element operable to operate a plurality of containers. A plurality of functionality modules are operable to execute within respective containers of the plurality of containers. Each functionality module includes: an input, a functionality operable to be executed by the processing element to perform an artificial intelligence operation using the input, and an output produced by the functionality. The modular system includes a messaging object operable to connect the output of a first one of the plurality of functionality modules to the input of a second of the plurality of functionality modules. The modular system configures the messaging object to adapt the output of first functionality module to the input of the second functionality module.

Container architecture for modular machine learning

A second screen communication device that is paired with an automatic content recognition (ACR) enabled display communication device is operable to detect presentation of a linear advertisement campaign on the ACR-enabled display communication device and control presentation of content, which is associated with the linear advertisement campaign, on the second screen communication device. The content that is associated with the linear advertisement campaign comprises a plurality of messages. The second screen communication device is operable to select one or more of the plurality of messages for presentation on the second screen communication whenever the linear advertisement campaign is detected during the presentation on the ACR-enabled display communication device. The screen communication device may be operable to sequence through presentation of the plurality of messages on the ACR-enabled display communication device based on the selection.

Method and system for providing synchronized advertisements and services

An automatic content recognition (ACR) enabled display communication device may present a linear advertisement campaign. A second screen communication device (SSCD) that is paired with an ACR-enabled display communication device, may detect when content associated with a linear advertisement campaign is available for display on the SSCD. A location of the SSCD may be determined when the SSCD detects that the content associated with the linear advertisement campaign is available for display. The SSCD may customize content for presentation in order to offer one or more products and/or services to a viewer of the SSCD based on the determined location. The SSCD determines assets that are required and/or utilized for the customization of the content so that it may be presented on the SSCD. The SSCD may acquire the determined assets from one or more servers and control presentation of the content based on information corresponding to the acquired assets.

Method and system for providing and handling product and service discounts, and location based services (LBS) in an automatic content recognition based system

Growing community of inventors

Morgan Hill, CA, United States of America

Brainerd Sathianathan