
AI for the Rest of Us: An Illustrated Introduction
Author(s): Sairam Sundaresan (Author)
- Publisher: Bloomsbury Academic
- Publication Date: October 30, 2025
- Language: English
- Print length: 256 pages
- ASIN: B0F29THNLT
- ISBN-13: 9798881807955
Book Description
We're living through a transformation as profound as electricity or the printing press, yet AI often feels more like hype than help. With clear language, vivid illustrations, and humor, veteran AI researcher Sairam Sundaresan unpacks machine learning, natural language, computer vision, and recommender systems, showing how they drive the tech we use daily.
You'll learn how AI works, where it appears, and how to make smarter choices about its role in your life and work. In two parts, the book moves from core concepts to real applications while debunking myths and stripping away buzzwords.
Editorial Reviews
Review
“In AI For the Rest of Us, Sairam Sundaresan demystifies artificial intelligence with simplicity and colorful explanations. Using real-world examples and engaging illustrations, he makes even the most advanced concepts easy to grasp. As AI becomes part of everyday life, this is essential reading for anyone seeking to understand its astounding possibilities.” ―Derek W. Gibson, Adjunct Professor Wake Forest University School of Business, co-author of Data Duped
“Sairam has a rare ability to make complex machine learning topics feel simple, intuitive, and engaging. Through clever storytelling and illustration, he brings technical concepts to life in a way that's easy to grasp for beginners and insightful even for experts.” ―Dr. Cameron R. Wolfe, Senior Research Scientist at Netflix
“As someone deeply embedded in driving ethical and transformative AI strategies across legal and public sectors, I found AI for the Rest of Us to be a masterclass in clarity and accessibility. Sairam Sundaresan has done a remarkable job of demystifying complex AI concepts without dumbing them down. Whether you're leading innovation or just beginning your journey, this book equips you with the insight and intuition needed to engage with AI critically and creatively.” ―Dr. Kion Ahadi, Chief Executive Officer, LegaMart
“I was drawn to this book immediately because Sairam and I share the mission to include as many people as possible in building our collective future with AI. In a world where it feels like everyone is speaking a different language on this topic, AI for the rest of us weaves a tapestry of metaphors and universally familiar examples to create shared semantics and deep conceptual understanding of what this tech is and is not. Read in order, the chapters clearly lay out the building blocks of modern AI in a way that all can benefit from one aha moment after another.” ―Kate Minogue, AI & Strategy Leadership and Advisor
“Sairam is a brilliant scientist and educator. I've never met anyone as capable of demystifying complex topics into clear and captivating insights that anyone can grasp. Fun, accessible, and endlessly enlightening, his book makes AI not just understandable but exciting for everyone.” ―Daniel Vassallo, entrepreneur
About the Author
Sairam Sundaresan is a seasoned Machine Learning Research Scientist with over 14 years of experience in the tech industry. He currently spearheads advanced AI projects at Valeo, managing a large team of researchers who teach automobiles to understand the world around them. Before this, he pioneered research at Intel Labs centered on deep learning algorithms, specifically algorithm-hardware co-design and multimodal models.
He began his career at Qualcomm as a Senior Machine Learning Engineer. Sairam's work on the development of Qualcomm's FastCV library, Touch to Track, and real-time 3D reconstruction on mobile devices earned significant recognition and was featured in Forbes. Some of this technology found its way into consumer devices.
His research work has earned him several patents and led to numerous publications.
An educator at heart, Sairam has served as a Machine Learning Lead and Mentor at the Frontier Development Lab (collaboration with NASA) since 2019. During this time, he has led
projects on understanding the Sun, focusing on Starspots, Solar Wind, and reconstructing its surface. The teams he mentored have achieved significant recognition, with their work accepted at high-profile conferences such as NeurIPS.
Passionate about making complex concepts accessible, Sairam created "Gradient Ascent," a weekly newsletter to demystify AI even for non-technical audiences. His skill at breaking down complex jargon has enabled a wide range of people to engage with the world of AI, from product managers at top tech companies to CEOs and analysts at premier VC funds.
Sairam is an alumnus of the University of Michigan, Ann Arbor, from where he holds a Master's degree in Electrical Engineering: Systems. There, he specialized in Computer Vision, Signal Processing, and Machine Learning. This academic foundation underpins his work, enabling him to integrate practical applications with a robust understanding of theoretical principles.
Outside the lab, Sairam is an award-winning nature photographer, illustrator, and writer. These perspectives enhance his problem-solving approach and fuel his creativity.
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