ICT Ignite - Web Dev - Front end user interface for existing back-end utilities.

Qoherent has produced a set of command line utilities for performing machine learning dataset curation and model training that can be useful as the back end for a web application. The project's goal is to create a user interface with a user-friendly UX for a web application based on these command line tools with a good user experience. This project requires no knowledge of machine learning, but learners will get some exposure to ML and have the opportunity to contribute to a a web-based design tool.

Technical marketing copywriting for software-defined radio start-up.

Qoherent aims to publish a series of short-form (300 word) articles on opportunities and challenges of AI/Software-defined radio within various industries. We hope to find students who will research, then summarize and compile findings into draft marketing copy for posting to various channels such as LinkedIn, Medium and more. One example includes this article . Our goal for this project is 3 draft articles, which we would then edit and post, while crediting the student. We have several topics in mind, but if students wish to propose their own after orientation, we are open to that. Example topics include: AI-based radios in drone detection, defense, maritime, connected vehicles, telecom, etc. MLOps opportunities and challenges Software-defined radio in drone detection, defense, maritime, connected vehicles, telecom, etc. Qoherent will begin the project with an orientation of its current business, its target markets, and any necessary coaching to complete the project.

Product Management Study for Software-defined Radio in Autonomous Vehicles

Project overview: Qoherent is investigating offering its products and services into the automotive industry, specifically within Connected and Autonomous Vehicles (CAV). Our goal is to understand how software-defined radios are used in the automotive industry, and what opportunities for machine-learning powered radios may exist. Qoherent aims to understand: Use-cases for software-defined radios within automotive, vehicular, and defence applications. The workflow of these use cases. Technical challenges and limitations. Algorithms and implementations of software that are currently used in the industry in space and on the ground. Technical specifications, costs, power constraints Challenges and opportunities for the use of AI within CAV’s We hope to use findings gathered in the project to inform future plans for product development, R&D, and positioning.

Satellite communications industry market research.

Who we are: Qoherent is driving the creation of intelligent radio technologies. Intelligent radios integrate machine learning-based signal processing to build more robust, aware, and adaptive radiofrequency (RF) communications and sensing systems that generally out perform traditional radio systems. Qoherent creates data-driven solutions using machine learning techniques for passive sensing of the RF spectrum to identify and analyze signals such LTE, 5GNR, and more. Our product offering includes application-specific IP composed of datasets and models, as well as design tools that help engineers bridge the knowledge gap between the RF and ML domains. Qoherent also investigates applications of quantum machine learning as applied to real-world RF problems. Project overview: Qoherent is investigating offering its services into the global satellite communications industry. This project, which is an investigation into the satellite communications market will help us understand the industry environment such as: landscape and market composition players (on the ground and in space) trends, challenges, and opportunities industry size economic drivers suppliers and customers applications We hope to use the knowledge gathered in the project to inform future plans for business development and R&D. We would like students to complete a project that summarizes findings from primary and secondary research activities such as: Researching via databases Reviewing market research reports Reading annual and quarterly reports of publicly traded companies. Conducting interviews with industry stakeholders Qoherent will begin the project with an orientation of its current business, and its plans for satellite communications, and any necessary coaching to complete the project. Qoherent will also provide a starting point for industry stakeholders to speak to. Other details: Number of students required: Up to a team of 3 students, but individuals will be accepted. Commitment: Up to 80 hours per student for the duration of the project Scope: A presentation, an executive summary, a written report and any appendixes that outline findings of the project.