This glossary provides definitions for common terms used in the field of Artificial Intelligence (AI), including related areas like Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP). It is intended to be a helpful resource for both beginners and those with more experience. It also includes terms specific to Google Cloud Platform’s AI offerings.

AI (Artificial Intelligence)

The broad field of computer science dedicated to creating machines and computer programs capable of performing tasks that typically require human intelligence. These tasks include, but are not limited to, learning, reasoning, problem-solving, decision-making, perception, understanding natural language, and interacting with the environment. [Google Cloud, 2] [U.S. Department of State, 15] [NASA, 14] [University of Illinois Chicago, 3] [IBM, 13]

Try this in any LLM

How many threes are there in the picture

References

The AI Revolution: The Road to Superintelligence

My favorite xkcd comics:

The General Problem

Self-Description

Far Away

Introduction

Managing multiple calendars can be complex, particularly when it comes to accurately reflecting availability across different contexts—work, personal, and project-specific. To streamline this process, I developed SyncFreeBusy, a script designed to synchronize events between a primary and remote Google Calendar.

The Challenge

Google Calendar is widely used for time management, but its existing tools do not fully address the needs of users with multiple calendars.

Although Google’s “Create an appointment schedule” feature offers great functionality, it does not fully cover my specific use case where multiple calendars need to be synchronized to present a unified free/busy status.

The Google Cloud Innovators Get Certified Program offers an excellent pathway for skill growth and professional development. Every year, I need to renew two certificates and aim to add another one, making this program incredibly valuable.

However, the current certification process leaves much to be desired. It begins with choosing between taking the test at home, which involves a cumbersome setup process, or visiting a certification center. I abandoned the home option after discovering I couldn’t use my Mac for the test. The test itself is a series of multiple-choice questions that, in my opinion, fail to accurately gauge the test-taker’s abilities. And the software used for the test? Far from user-friendly.

Speaker profile

Hello, I’m Jasper Duizendstra, a seasoned cloud architect, international speaker, and enthusiastic traveller. With over a decade of deep-rooted experience in the Google platform, I have guided clients through the complex terrain of technology transitions, making me a trusted navigator in the cloud computing space.

Since 2016, I’ve been recognized as a Google Developer Expert (GDE) specializing in Google Workspace. I am adept at offering guidance and leadership to global organizations, enabling them to harness the power of cloud computing to transform their operations. Further amplifying my contributions to this dynamic field, I’ve been a Cloud Innovator since 2021, providing innovative solutions to complex technology challenges.