Registration is closed.
Note, the first lecture will be on May 28th and will be given digitally.
Throughout this course, we will delve into the practical applications of generative AI, exploring how it can be utilized to visualize, synthesize, and comprehend complex biological phenomena. By doing so, students will gain valuable insights into how these techniques can enhance their studies and contribute to advancements within their respective fields. Moreover, this course serves as a nexus between the exponential growth of artificial intelligence and the ever-evolving landscape of life sciences.
In essence, this course provides a friendly introduction to the preliminary concepts required to understand and employ generative AI to the life science community. Further, it explores the applications of generative AI in the context of life sciences. The aim of this initiative is to bridge the knowledge gap for those keen on delving deeper into the intersections of generative AI and life sciences. Recognizing the importance of generative AI techniques for life science research, and the future prospects of their collaborations, is central to this course's ethos.
Introductory concepts:
- Introduction to Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI
- Different applications of generative AI
- Impact of generative AI on life science research
Prerequisites topics:
- Convolutional Neural Networks
- Natural Language Processing
- Large Language Models
- Generative AI
Application development requirements:
- Programing language
- Frameworks
- Attention
- Transformer
- Synthetic image/video generation
Generative AI applications:
- Synthetic data generation for life sciences
- Computational biology: visualization and prediction
- Language modeling for life sciences
Self-reading
- Two research articles - comparison, weaknesses, strengths, application domain
- Extensive lab work, self-exercises and groups are planned for competence development is also included.
The course is supported by the Digital Life Norway Research School and there are a limited number of travel grants available for our members.
Contact course coordinator:
Dilip K. Prasad dilip.prasad@uit.no