Sri International

Daniel Sanchez

Hassen Saidi

Karen L Myers

Melinda Gervasio

Chih-Hung Yeh

Christopher Connolly

Huascar Sanchez

Matthew Crossley

Techniques are disclosed for intelligently managing software development. In one example, a method for managing software development, includes receiving, by a computing system, a request to review source code written by a first developer, determining, by the computing system, a software skill set for the source code review, selecting, by the computing system, one or more selected source code reviewers from the pool of source code reviewers based on the software skill set and respective reputation scores for a pool of source code reviewers, assigning, by the computing system, one or more portions of the source code for code review to each of the selected source code reviewers, and determining, by the computing system, a consensus verification output on the code review based on review input from a majority of the selected source code reviewers.

Intelligent collaborative project management

Techniques are disclosed for training a machine learning model to perform actions within an environment. In one example, an input device receives a declarative statement. A computation engine selects, based on the declarative statement, a template that includes a template action performable within the environment. The computation engine generates, based on the template, synthetic training episodes. The computation engine further generates experiential training episodes, each experiential training episode collected by a machine learning model from past actions performed by the machine learning model. Each synthetic training episode and experiential training episode comprises an action and a reward. A machine learning system trains, with the synthetic training episodes and the experiential training episodes, the machine learning model to perform the actions within the environment.

Synthetic training examples from advice for training autonomous agents

A machine and its modules assist in steganography for an animal. A steganography module applies behavioral sequencing to create a cover message and a hidden message to covertly pass information from one animal to another animal, with the information embedded in an individual's brain. A visual module references the steganography module to cause a sequence of visual images on a display screen to guide a motor sequence of an individual as the cover message as well as detect and communicate a timing of the individual's motor sequence, relative in timing, to visual images in the sequence of visual images being displayed on the display screen, in order to train in the cover message and hidden message. The hidden message is then extracted at a destination from a sensor monitoring the individual's sequence of motor actions.

Cortical steganography

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Sunnyvale, CA, United States of America

Daniel Sanchez