Get Free Shipping on orders over $79
Artificial Intelligence and Machine Learning : Second International Artificial Intelligence Conference, IAIC 2024, Jinyun, China, November 8â"10, 2024, Revised Selected Papers, Part I - Hai Jin
eTextbook alternate format product

Instant online reading.
Don't wait for delivery!

Artificial Intelligence and Machine Learning

Second International Artificial Intelligence Conference, IAIC 2024, Jinyun, China, November 8â"10, 2024, Revised Selected Papers, Part I

By: Hai Jin (Editor)

Paperback | 20 August 2025

At a Glance

Paperback


$249.00

or 4 interest-free payments of $62.25 with

 or 

Ships in 5 to 7 business days

This CCIS volume constitutes the refereed proceedings of Second International Artificial Intelligence Conference on Artificial Intelligence and Machine Learning, IAIC 2024, held in Jinyun, China, November 2024.

The 38 full papers presented were carefully reviewed and selected from 100 submissions.They were organized in following topical sections as follows:

Part I : Artificial Intelligence in Real-World Applications.
Part II : Artificial Intelligence in Network and Security systems.

More in Information Technology General Issue

Careless People : A story of where I used to work - Sarah Wynn-Williams

RRP $24.99

$21.75

13%
OFF
Open to Work : How to Get Ahead in the Age of AI - Ryan Roslansky

RRP $34.99

$27.99

20%
OFF
Doppelganger : A Trip Into the Mirror World - Naomi Klein

RRP $26.99

$22.99

15%
OFF
Against the Machine : On the Unmaking of Humanity - Paul Kingsnorth

RRP $55.00

$42.75

22%
OFF
Chip War : The Fight for the World's Most Critical Technology - Chris Miller
Gilded Rage : Elon Musk and the Radicalization of Silicon Valley - Jacob Silverman
How to Talk to AI : (And How Not To) - Jamie Bartlett
The Singularity is Nearer : When We Merge with AI - Ray Kurzweil

RRP $26.99

$21.75

19%
OFF
Man-Made : How the bias of the past is being built into the future - Tracey Spicer
Gilded Rage : Elon Musk and the Radicalization of Silicon Valley - Jacob Silverman
Building a Scalable Data Warehouse with Data Vault 2.0 - Dan Linstedt