AI in Research & Development

Research and development thrive on efficiency and innovation, and AI is reshaping both. This course highlights how AI can predict molecular behaviors, streamline testing cycles, and reduce the cost of exploration across scientific domains. The discussion includes how AI counters "Eroom's Law," where development becomes slower and more expensive over time, by driving faster, more accurate breakthroughs. Participants also see how AI automates patent searches, synthesizes existing literature, and supports funding applications. The course presents AI as a force multiplier for innovation, helping to remove bottlenecks and create space for bold experimentation.

Learning Objectives:

- Understand how AI algorithms can predict molecular behavior for rapid and efficient testing.
- Learn how AI can help reverse 'Eroom's Law' by making discoveries faster and less expensive.
- Apply specialized language models for science and medicine.
- Explore how AI can be used to perform automated patent searches and synthesize publications for grants.
 

Topics Covered:

- AI for Rapid and Efficient Testing in R&D
- Specialized AI Models for Science and Medicine
- Automated Administrative Tasks (e.g., patent searches)

Key Takeaways:
- AI-driven methods for accelerating testing and predicting molecular behaviors.
- Practical approaches to overcoming ¿Eroom¿s Law¿ with efficiency and cost savings.
- Tools for automating patent searches and synthesizing scientific literature.

Prerequisites: None