Advanced Topics in Artificial Intelligence: 11th Australian Joint Conference on Artificial Intelligence, AI'98, Brisbane, Australia, July 13-17, 1998 ...

by G. Oint Artificial Inte Antoniou (Editor), John Slaney (Editor)

This book presents the thoroughly refereed post-conference proceedings of the 11th Australian Joint Conference on Artificial Intelligence, AI'98, held in Brisbane, Australia in July 1998.
The 28 revised full papers presented in the book were carefully reviewed and selected from twice as many papers accepted for presentation at the conference.
Among the topics covered are philosophical issues, fuzzy logic, agent systems, AI logics, planning, knowledge representation, automated deduction, intelligent agents, learning, constraint solving, and neural networks.

356 pages, Paperback

First published October 7, 1998

Reviews

[Santosh2021 · Rating 5 out of 5]

All roles other than those listed above are being replaced or at least a majority of them by AI.


Patrick Conte is Opsani's chief Commercial Officer. He stated that AI doesn't cause a job shift like AI causes one elsewhere.


Conte provided an example of cloud application optimization. This gives DevOps engineers more time to focus on development and testing, rather than on the complexity and size of the workloads.


AI can help determine the app's size or service-level goals. An engineer or DevOps team might request large space to house their app. The DevOps team should build the app, test it, and then submit the work to site reliability engineering.


SRE positions are changing rapidly due to AI/ML. SRE teams can use ML for optimal performance settings in the production phase.


There are many settings an app or microservice could use (CPU and memory, replicas), so it is important for the system's speed to run the experiments and tests required to determine the optimal combination.

https://www.sevenmentor.com/artificia...

Conte said that humans cannot guess at optimal, while AI and ML are able to find it more consistently and faster than humans.

According Dice's "Tech Salary Report", cybersecurity pros ranked highest in terms salary growth for 2020.

[BruceleWayne · Rating 5 out of 5]

Advanced Topics in Artificial Intelligence encompass cutting-edge research areas like deep reinforcement learning, neuro-symbolic AI, and generative adversarial networks. These topics delve into complex algorithms for autonomous decision-making, combining symbolic reasoning with neural networks, and creating synthetic data for various applications. They represent the forefront of AI innovation and interdisciplinary exploration.
Read more here: https://theadcompare.com/ai/