The research and development of artificial intelligence supported by a rigorous, standardized curriculum is what connects us all regardless of scope and discipline.

Project approval is based on various factors, the most important of which are:

• Is there a faculty or industry member who has expertise in this field and has the time to support the students?

• What are the expected outcomes and results for the project? (i.e., presenting research at a conference, connecting with industry, etc…)

• Will the project require funding?

• Is there student interest?

• How many projects are currently in progress? If there are too many, then the proposed project will be saved and must wait for a previous project to be finished.

The results of the work we do are in the form of presentations at conferences and symposiums, preparedness for hackathons, connecting with real industry professionals, learning the foundations of A.I. and machine learning and the training these models.

Machineford works in any and all industries. We pride ourselves on our wide scope of work and ability to adapt to change. We are able to efficiently work on problems ranging from engineering to communications, from biology to finance, and from chemistry to writing. Everything in between is included as well.

Engagements range from two weeks for focused ventures to several months for comprehensive and challenging projects, or even a year or more for the most ambitious of projects.