Introduces six simple machines, describing how they work in more complex machinery and how they are used every day.

"Simple Machines! introduces kids to the concept of mechanical advantage and harnesses kid-power by inviting them to build machines of their own design. This book also opens eyes and minds to the diversity of machines in their lives, and sparks the imagination with challenge, humor, and achievable projects"--Publisher.

Why is a spring like a simple machine? What forces do you need for a spring to change shape? How do springs store energy? Look at everything from historical examples of springs, such as a ballista, to the role of levers in complex machines, such as racing cars.

Still going strong after more than a decade, the Los Angeles-based Machine Project is profiled in this encyclopedic book that explores unconventional ways of seeing and thinking about the world. New essays and images capture the quirky essence of Machine Project, where vacations for plants, concerts for dentists, and operas for dogs are a few of the typical offerings produced at the informal, non-profit, educational institution in Los Angeles. Designed in collaboration with Kimberly Varella, this book reflects on Machine Project's ongoing artistic practice, featuring an extensive selection of photographs of past projects and documentation of new performance projects at the Tang Museum by Haruko Tanaka, Krystal Krunch, Hana van der Kolk, Carmina Escobar, Kamau Patton, Dawn Kasper, Joshua Beckman, Asher Hartman, and Chris Kallmyer among others.

A hands-on, application-based introduction to machine learning and artificial intelligence (AI) that guides young readers through creating compelling AI-powered games and applications using the Scratch programming language. Machine learning (also known as ML) is one of the building blocks of AI, or artificial intelligence. AI is based on the idea that computers can learn on their own, with your help. Machine Learning for Kids will introduce you to machine learning, painlessly. With this book and its free, Scratch-based, award-winning companion website, you'll see how easy it is to add machine learning to your own projects. You don't even need to know how to code! As you work through the book you'll discover how machine learning systems can be taught to recognize text, images, numbers, and sounds, and how to train your models to improve their accuracy. You'll turn your models into fun computer games and apps, and see what happens when they get confused by bad data. You'll build 13 projects step-by-step from the ground up, including: • Rock, Paper, Scissors game that recognizes your hand shapes • An app that recommends movies based on other movies that you like • A computer character that reacts to insults and compliments • An interactive virtual assistant (like Siri or Alexa) that obeys commands • An AI version of Pac-Man, with a smart character that knows how to avoid ghosts NOTE: This book includes a Scratch tutorial for beginners, and step-by-step instructions for every project. Ages 12+

Night 1 / My life is perfect. / I have a bowl full of seeds, a cozy pile of wood shavings, and room to run. / I'm never leaving here. / Question: Who's the luckiest hamster in the world? / Answer: ME! Seymour the hamster has the perfect life. He has a spacious cage, a constant food supply, and a FuzzyBoy 360 exercise wheel that lets him run to his heart's content. Life could not be better. Or could it? When Pearl the cat tells Seymour of the goodies beyond the safe confines of his cage, he starts to think he's missing out. And out is the new in! It's only after Seymour is out of his cage that he begins to fully appreciate his safe and cozy home.

With Build Your Own Chain Reaction Machines, you’ll create 13 zany and awesome mechanical contraptions using stuff from around the house. Build Your Own Chain Reaction Machines invites you into the wonderful world of crazy contraptions inspired by the amazing artwork of renowned cartoonist, engineer, and inventor Rube Goldberg, whose wacky, imaginary machines accomplished a simple task by taking a hilariously complicated route. In this entertaining and instructive book, mechanical engineer and educator Paul Long gives step-by-step instructions for making low-tech devices using everyday objects in inspired and ingenious ways. Each of the 13 projects demonstrates how to build the machine's various elements and explains how they work together to make a mind-boggling mechanism that delivers hours of fun and fascination. Machines for Your Room. Be the master of your domain with the Door Knocker, Light Switcher, and Door Opener. Machines for Around the House. Get your chores done (and improve your personal hygiene) with the Plant Waterer, Toothpaste Squeezer, and Soap Dispenser. Machines for Fun and Nonsense.The Flag Raiser, Marble Launcher, Music Maker, and Balloon Popper are guaranteed to both amaze and amuse. Machines for Food. With the Vending Machine, Candy Dispenser, and Cookie Dunker, snacking has never been so fun! You'll also find interesting sidebars on the science behind each gadget, plus tips and tricks for success. Build Your Own Chain Reaction Machines gives you the know-how to create your own incredible chain reactions!

Bring magic to your mobile apps using TensorFlow Lite and Core ML Key FeaturesExplore machine learning using classification, analytics, and detection tasks.Work with image, text and video datasets to delve into real-world tasksBuild apps for Android and iOS using Caffe, Core ML and Tensorflow LiteBook Description Machine learning is a technique that focuses on developing computer programs that can be modified when exposed to new data. We can make use of it for our mobile applications and this book will show you how to do so. The book starts with the basics of machine learning concepts for mobile applications and how to get well equipped for further tasks. You will start by developing an app to classify age and gender using Core ML and Tensorflow Lite. You will explore neural style transfer and get familiar with how deep CNNs work. We will also take a closer look at Google’s ML Kit for the Firebase SDK for mobile applications. You will learn how to detect handwritten text on mobile. You will also learn how to create your own Snapchat filter by making use of facial attributes and OpenCV. You will learn how to train your own food classification model on your mobile; all of this will be done with the help of deep learning techniques. Lastly, you will build an image classifier on your mobile, compare its performance, and analyze the results on both mobile and cloud using TensorFlow Lite with an RCNN. By the end of this book, you will not only have mastered the concepts of machine learning but also learned how to resolve problems faced while building powerful apps on mobiles using TensorFlow Lite, Caffe2, and Core ML. What you will learnDemystify the machine learning landscape on mobileAge and gender detection using TensorFlow Lite and Core MLUse ML Kit for Firebase for in-text detection, face detection, and barcode scanningCreate a digit classifier using adversarial learningBuild a cross-platform application with face filters using OpenCVClassify food using deep CNNs and TensorFlow Lite on iOS Who this book is for Machine Learning Projects for Mobile Applications is for you if you are a data scientist, machine learning expert, deep learning, or AI enthusiast who fancies mastering machine learning and deep learning implementation with practical examples using TensorFlow Lite and CoreML. Basic knowledge of Python programming language would be an added advantage.

Discusses how to complete DIY projects dealing with basic machines and robots, including some of history's most incredible inventions and scientific discoveries.

Broken Time Machines: Daisy Patton, designed by Joshua Gamma and edited by Yasmeen Siddiqui, is comprised of writings by award-winning Irish poet and novelist Elaine Feeney; celebrated American poet Sommer Browning; British scholar Salma Ahmad Caller; French feminist literary critic Adèle Cassigneul; American historian William Max Nelson; and American critic Kealey Boyd. Together these contributors have created a sensitively designed book that behaves as a way-finding device for interpreting the work of emerging artist Daisy Patton.