The Prediction Revolution
-
Select format
-
- Publisher:
- Cambridge University Press
- ISBN:
- 9781009786683
- 9781009786706
- Creative Commons:
-
This content is Open Access and distributed under the terms of the Creative Commons Attribution licence CC-BY-NC-ND 4.0.
https://creativecommons.org/creativelicenses - Dimensions:
- Weight & Pages:
- Dimensions:
- (198 x 129 mm)
- Weight & Pages:
- 172 Pages
Open AccessYou have digital access to this book
Show more authors 
You have digital access to this book
Book description
Science is in the midst of an under-recognized revolution. For centuries, prediction in science went hand in hand with understanding: knowledge of what advanced in tandem with knowledge of how and why. But in recent years, AI tools have enabled scientists to make predictions that previously would have been impossible, even if they don't understand why those predictions hold true. Already, scientists have used these AI 'oracles' to design new drug candidates and help paralyzed people regain the ability to speak. These are consequential achievements. But they also raise a difficult question: If science can improve lives with prediction alone, should we still seek to understand the universe? In The Prediction Revolution, Grace Huckins, a trained neuroscientist and award-winning journalist, explores how AI is reshaping the relationship between prediction and understanding-and challenges us to consider what science is really for. This title is also available as open access on Cambridge Core.
Contents
Contents
-
The Prediction Revolution
pp i-ii -
-
- You have access
- Open access
- HTML
- Export citation
-
-
The Prediction Revolution - Title page
pp iii-iii - AI and the Future of Science
-
-
- You have access
- Open access
- HTML
- Export citation
-
-
Copyright page
pp iv-iv -
-
- You have access
- Open access
- HTML
- Export citation
-
-
Contents
pp v-vi -
-
- You have access
- Open access
- HTML
- Export citation
-
-
About the Prize
pp vii-viii -
-
- You have access
- Open access
- HTML
- Export citation
-
-
Acknowledgements
pp ix-xii -
-
- You have access
- Open access
- HTML
- Export citation
-
-
1 - Introduction
pp 1-27 - Prediction, Understanding, and Deep Neural Networks
-
-
- You have access
- Open access
- HTML
- Export citation
-
-
2 - AlphaFold
pp 28-66 - Prediction without Understanding
-
-
- You have access
- Open access
- HTML
- Export citation
-
-
3 - Physics
pp 67-114 - Learning from Networks
-
-
- You have access
- Open access
- HTML
- Export citation
-
-
4 - Neuroscience
pp 115-149 - Letting Go of the Dream
-
-
- You have access
- Open access
- HTML
- Export citation
-
-
5 - Conclusion
pp 150-156 - The Rise of AI Scientists
-
-
- You have access
- Open access
- HTML
- Export citation
-
-
Notes
pp 157-165 -
-
- You have access
- Open access
- HTML
- Export citation
-
Metrics
Full text views
Full text views helpTotal number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...
* Views captured on Cambridge Core between #date#. This data will be updated every 24 hours.
Usage data cannot currently be displayed.
Accessibility standard: WCAG 2.0 A
Why this information is here
This section outlines the accessibility features of this content - including support for screen readers, full keyboard navigation and high-contrast display options. This may not be relevant for you.
Accessibility Information
The HTML of this book conforms to version 2.0 of the Web Content Accessibility Guidelines (WCAG), ensuring core accessibility principles are addressed and meets the basic (A) level of WCAG compliance, addressing essential accessibility barriers.
Content Navigation
Table of contents navigation
Allows you to navigate directly to chapters, sections, or non‐text items through a linked table of contents, reducing the need for extensive scrolling.
Index navigation
Provides an interactive index, letting you go straight to where a term or subject appears in the text without manual searching.
Reading Order and Textual Equivalents
Single logical reading order
You will encounter all content (including footnotes, captions, etc.) in a clear, sequential flow, making it easier to follow with assistive tools like screen readers.
Structural and Technical Features
ARIA roles provided
You gain clarity from ARIA (Accessible Rich Internet Applications) roles and attributes, as they help assistive technologies interpret how each part of the content functions.