Exploring Artificial Intelligence
Research, learn, showcase
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Research, learn, showcase 〰️
At Machineford Interdisciplinary, our goal is to advance students’ knowledge in mathematics, programming, and problem solving. One of the best ways to accomplish this goal is to create artificial intelligence models from the ground up. Students will learn how to do so through a rigorous curriculum created by the founders of the organization before they ever touch a framework such as PyTorch or TensorFlow.
In this way, we are able to create a strong foundation within our students regarding the basics, reasoning, and logic behind Artificial Intelligence. Students have absolute freedom to work and learn at Machineford; they may join a project and learn through hands-on experience, can go through the curriculum, or even both!
All are welcome at Machineford, regardless of experience or educational background! Since artificial intelligence is broad, we are able to conduct research across a multitude of fields. We are willing to recruit anyone, ranging from biology to finance, from engineering to communication, and beyond!
Our results take the form of events such as conferences, expos, and symposiums where teams would present their projects. We will also be attending hackathons to prove that our students are capable of working under pressure and creating genuine competitive products. It will also teach them what software development outside of our organization looks like.
Our leadership can be broken down simply: one president/director overseeing all things within the lab and maintaining outside relationships, two vice presidents managing research and operations, a secretary assisting the vice presidents and project managers, a treasurer managing our finances, project managers who maintain project status quo and rules, and project leads who preside over a specific project(s).
Our leadership wants to keep the organization student-lead. We exist for the students; we came to be because of the students.
Students who are willing to take on responsibility must apply for the position and supply us with their resume, and they must be ready for a rigorous interview to test their knowledge and leadership skills.
Faculty advisors are there to provide their expertise and professional advice when students need it. Projects are not approved unless there is at least one lab-affiliated faculty member there to support. We want students to learn, however, if they get something wrong and nobody has professional experience in that field, the work they do will be for naught.
Join the team today
If you are interested in doing research, going to hackathons, attending symposiums and conferences, connecting with industry, or training AI, then sign up today! There is no fee or commitment in signing up; you’re simply expressing an interest.