International Business Machines Corporation

Helon Vicente Hultmann Ayala

Marcio Ferreira Moreno

Daniel Salles Chevitarese

Lucas Correia Villa Real

Renato Fontoura De Gusmao Cerqueira

Paulo Rodrigo Cavalin

Bianca Zadrozny

Rafael Rossi De Mello Brandao

Breno William Santos Rezende De Carvalho

Daniela De Mattos Szwarcman

An ore content prediction system is provided. The system receives structured geological data that is derived based on spatial geological information that is associated with an input region. The received structured geological data includes a plurality of multidimensional tensors that are derived from spatial geological information of a plurality of sub-regions of the input region. The spatial geological information includes one or more types of data. The system trains a prediction model to produce a prediction output based on an average grade of an ore of a target mineral type at a target region by using the received structured geological data. The system identifies a relationship of the structured geological data to the prediction output and determines a revised input region based on the identified relationship.

Estimate ore content based on spatial geological data through 3D convolutional neural networks

Automatically identifying speakers in real-time through media processing with dialog understanding. A plurality of audio streams may be received, an audio stream representing a speech of a participant speaking during an online meeting. A voice characteristic of a voice corresponding to the speech of the participant in the audio stream may be determined. The plurality of audio streams may be converted into text and a natural language processing may be performed to determine content context of the dialog. The natural language processing infers a name to associate with the voice in the audio stream based on the determined content context. A data structure linking the name with the voice may be created and stored in a knowledge base. A user interface associated with the online meeting application is triggered to present the name or identity of the speaker.

Automatically identifying speakers in real-time through media processing with dialog understanding supported by AI techniques

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Rio de Janeiro, Brazil

Helon Vicente Hultmann Ayala