Video course · 9 chapters · 35 min · certificate
Understanding the possibilities for Science in the Age of AI
A Google DeepMind panel on AI for science: current applications, the role of human scientists, integrating AI into labs, data challenges, accelerating drug development, cultural shifts in research, regulation and validation, and AI creativity.
What you'll learn
- Describe current AI applications in science
- Explain the scientist's role alongside AI
- Integrate AI into lab workflows
- Recognise data challenges
- Explain AI's role in drug development
- Discuss regulation and AI creativity
Chapters
9 chapters · 35:15-
1:04
01Intro Members
Introduction
The panel.
-
5:01
02Applications Members
Current applications
Ultrasound and more.
-
3:15
03Scientists Members
The role of human scientists
Lab in the loop.
-
3:57
04Integration Members
Integrating AI into labs
Enable everyone.
-
3:29
05Data Members
Data challenges
Assertions vs truth.
-
4:34
06Drugs Members
Accelerating drug development
Two examples.
-
3:36
07Culture Members
Cultural shifts in research
Small labs compete.
-
4:52
08Regulation Members
Regulation and validation
Speed vs safety.
-
5:27
09Future Members
AI creativity and the future
Purpose of regulation.
Jobs this course suits
Our AI checked this course against 500 jobs; these get the most out of it. Each job links to its learning path.