Artificial intelligence (AI) is rapidly transforming science and laboratory automation. With all the development (and hype) surrounding AI, many scientists and managers have fundamental questions about the technology: What is AI? How does it work? Can it solve my problem?
This workshop offers a gentle introduction to the field of AI. The course will cover the three main branches of AI and machine learning: supervised, unsupervised, and reinforcement learning. Each topic will include a case study to illustrate how AI is used to solve data-intensive problems.
Who Should Attend
The workshop is designed for scientists, technicians and managers and requires only a background in introductory statistics and basic biology/chemistry.
By the end of this workshop, participants will be able to:
- Describe the capabilities and limitations of common AI techniques.
- Understand the types of data and problems amenable to AI algorithms.
- Partner with AI practitioners to solve problems.
The workshop will cover the three main branches of artificial intelligence and machine learning (AI/ML):
- Supervised learning
- Unsupervised learning
- Reinforcement learning
- Predicting chemical reactivity with artificial neural networks
- Identifying biomarkers with Principal Component Analysis
- Optimizing chemical synthesis through automation
- Introduce the most common AI methods for each type of learning
- Connect the AI methods to a real-world example of interest to the SLAS community
$49 for SLAS Members
$99 for Non-members
Free for SLAS2021 Digital Workshop Registrants