Artificial Intelligence & Machine Learning Application
Project scope
Categories
Data analysis Data modelling Software development Machine learning Artificial intelligenceSkills
artificial intelligence machine learning researchWe would like to collaborate with students to apply the latest artificial intelligence (AI) and machine learning (ML) techniques to our existing dataset. Students will develop an AI / ML model related to any of the aforementioned applications.
This will involve several different steps for the students, including:
- Conducting background research on our existing products and the dataset.
- Analyzing our current dataset.
- Researching the latest AI / ML techniques and how they could be applied to our data.
- Developing an AI / ML model that provides unique outcomes or insights into our data.
- Providing multiple solutions that can be applied to solve the same problem.
By the end of the project, students should demonstrate:
- Understanding of the available dataset
- Understanding of the latest AI / ML techniques
- Identification of ways in which AI / ML can be applied to our company
Bonus steps would include:
- Providing multiple versions of potential models
Final deliverables should include
- A final report on the dataset, the problem solved, methodologies and approaches, outcomes and results, and recommended next steps.
- Source materials such as code and workbooks.
Students will connect directly with us for mentorship throughout the project. We will be able to provide answers to questions such as:
- Our current products and applications of AI / ML
- The current data set and guidance in navigating it
- Current industry standard approaches to AI / ML
- Input on choices, problems or anything else the students might encounter.
Supported causes
Good health and well-beingAbout the company
Established in 2017, Living in silico promotes novel solutions for biomedical and educational problems using innovative and disruptive technologies.
Our team of dedicated researchers aim to promote new biotechnologies that change digital health to create efficiencies for patients, researchers, physicians and other health care providers.