Abstract
What does it mean to build an AI-powered application? In the previous chapter we started shaping our thinking around the types of behavior that AI software may exhibit, such as the proactive accomplishment of goals and autonomous goal setting. We did not, however, discuss how such behavior is achieved. We purposely did not refer to any specific technology. Technologies, of course, do matter. Technologies, though, are also constantly changing. That is why it was crucial to be able to reason about AI applications without reference to specific technologies. At the same time, we need to be able to consider what technologies may be required in order to make informed choices. This chapter begins to lay the foundations in that direction. It digs deeper into the question of how AI-powered applications are constructed, and it attempts to do this in a way that hopefully anyone should be able to follow.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
As a further, small side note, in case you are curious to see if neural nets could make such predictions, there is actual work in that direction. In a paper called “Discovering Physical Concepts with Neural Networks,” researchers explored this idea exactly. Raban Iten, Tony Metger, Henrik Wilming, Lidia del Rio, and Renato Renne, “Discovering Physical Concepts with Neural Networks,” https://arxiv.org/abs/1807.10300, 2018.
- 2.
ImageNet, www.image-net.org/
- 3.
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton, “ImageNet Classification with Deep Convolutional Neural Networks” in Neural Information Processing Systems 25 (NIPS, 2012).
- 4.
Rajat Raina, Anand Madhavan, and Andrew Y. Ng, “Large-Scale Deep Unsupervised Learning using Graphics Processors” in Proceedings of the 26th International Conference on Machine Learning (ICML, 2009).
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2020 Ronald Ashri
About this chapter
Cite this chapter
Ashri, R. (2020). Building AI-Powered Applications. In: The AI-Powered Workplace. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-5476-9_3
Download citation
DOI: https://doi.org/10.1007/978-1-4842-5476-9_3
Published:
Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-5475-2
Online ISBN: 978-1-4842-5476-9
eBook Packages: Professional and Applied ComputingApress Access BooksProfessional and Applied Computing (R0)