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AI 101

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.

Workshop Benefits
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.
Workshop Topics
The workshop will cover the three main branches of artificial intelligence and machine learning (AI/ML):
  • Supervised learning
  • Unsupervised learning
  • Reinforcement learning
Each section will include a case study selected from presentations at the previous year’s SLAS Annual Meeting. Examples include:
Supervised learning:
  • Predicting chemical reactivity with artificial neural networks
Unsupervised learning:
  • Identifying biomarkers with Principal Component Analysis
Reinforcement learning:
  • Optimizing chemical synthesis through automation
The case study model aims to:
  • 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
Trying to Access Training? Click PURCHASE below. You will see the Member/Non-Member rate once you sign in.

$49 for SLAS Members
$99 for Non-members
Free for SLAS2021 Digital Workshop Registrants