In The Loop

"A script-ready story with blockbuster potential." -- Kirkus (Starred Review)Life inside The Loop--the futuristic death row for teens under eighteen--is one long repetitive purgatory. But when news of the encroaching chaos in the outside world reaches the inmates and disorder begins to strike, the prison becomes the least of their worries. Perfect for fans of The Maze Runner and The Fifth Wave. It's Luka Kane's 16th birthday and he's been inside The Loop for over two years. Every inmate is serving a death sentence with the option to push back their execution date by six months if they opt into "Delays," scientific and medical experiments for the benefit of the elite in the outside world.But rumors of a war on the outside are spreading amongst the inmates, and before they know it, their tortuous routine becomes disrupted. The government-issued rain stops falling. Strange things are happening to the guards. And it's not long until the inmates are left alone inside the prison.Were the chains that shackled Luka to his cell the only instruments left to keep him safe? In a thrilling shift, he must overcome fellow prisoners hell-bent on killing him, the warden losing her mind, the rabid rats in the train tunnels, and a population turned into murderous monsters to try and break out of The Loop, save his family, and discover who is responsible for the chaos that has been inflicted upon the world.

This eye-opening narrative journey into the rapidly changing world of artificial intelligence reveals the dangerous ways AI is exploiting the unconscious habits of our minds, and the real threat it poses to humanity: "The best book I have ever read about AI" (New York Times bestselling author Roger McNamee). Artificial intelligence is about to amplify the most primitive version of who we are, and spit it back at us for entertainment and profit. That's the warning from award-winning technology journalist Jacob Ward, whose decade-long journey through the cutting edge of AI and behavioral science reveals that we're on the verge of becoming caught in The Loop: a shrinking cycle of narrowed choices and lost skills that will turn us away from expertise, human connection, and creativity if we don't act fast. From biometric surveillance states that track the movements and relationships of over a billion people, to the algorithms that determine what movies get made, to the risky multiple-choice simplicity of automated battlefield systems, this book reveals that the most obvious patterns in our behavior--patterns that AI is most likely to vacuum up--are not the ones we want to perpetuate. As the tech industry begins writing flawed human habits into AI, The Loop is a call to look at ourselves more clearly, so we can put only the best parts of ourselves into the systems we create.

"A small town in Western Oregon becomes the epicenter of an epidemic of violence as the teenage daughters and sons of several executives who happen to work at the biotech firm nestled in the hills have become ill, and oddly, aggressively, murderous"--Provided by publisher

The basis for the new Amazon Prime Original Series! Perfect for fans of E.T. and Stranger Things—the first narrative artbook from acclaimed author and artist Simon Stålenhag about a fictionalized suburban town in the 1980s inhabited by fantastic machines and strange, imaginative beasts. In 1954, the Swedish government ordered the construction of the world’s largest particle accelerator. The facility was complete in 1969, located deep below the pastoral countryside of Mälaröarna. The local population called this marvel of technology The Loop. These are its strange tales. From the same author who wrote the imaginative artbook The Electric State, this “haunting,” (The Verge) “sophisticated sci-fi” (The Nerdist) follows the bizarre stories from otherworldly creatures and is a page-turner you won’t be able to put down.

From the author of The Horse Whisperer comes the phenomenal #1 New York Times bestseller, an extraordinary new novel of love, family, and man's struggle with the wild. A pack of wolves makes a sudden savage return to the Rocky Mountain ranching town of Hope, Montana, where a century earlier they were slaughtered by the thousands. Biologist Helen Ross has come to Hope from the East, fleeing a life in shambles, determined to save the wolves from those who seek to destroy them. But an ancient hatred awaits her in Hope, a hatred that will tear a family and ultimately the community apart. And soon Helen is at the center of the storm, by loving the wrong man, by defying the wrong man . . . by daring to lead a town out of the violent darkness of its past. . . . Visit the Nicholas Evans Web site at http://www.nicholasevans.com

An introduction to American colloquialisms through the use of explanatory dialogue or narrative.

In the second book of The Loop trilogy, Luka is trapped in a fate worse than death. But now that he knows the truth about what he and his fellow inmates are being used for, it's more important than ever that he not only escapes, but that he builds an army. Luka is a prisoner once again. But this time it's a fate worse than death. In the Block, he must toggle between enduring an Energy Harvest for twelve hours of the day and surviving complete immobilization. The only semblance of relief is the Sane Zone, created to keep prisoners from going completely mad. In this virtual reality, the prisoners live out their fantasies of life outside. But for Luka, it's different. Happy is determined to find out the location of his friends, who disappeared after the Battle of Midway Park. But can Luka battle the descent into madness long enought to stop Happy's manipulation tactics and keep his friends' location safe? Another prison break is the only chance to protect the Missing. And as reality becomes increasingly scrambled on the outside, it'll take an army to stop Galen from carrying out his plans.

Machine learning applications perform better with human feedback. Keeping the right people in the loop improves the accuracy of models, reduces errors in data, lowers costs, and helps you ship models faster. Human-in-the-loop machine learning lays out methods for humans and machines to work together effectively. You'll find best practices on selecting sample data for human feedback, quality control for human annotations, and designing annotation interfaces. You'll learn to dreate training data for labeling, object detection, and semantic segmentation, sequence labeling, and more. The book starts with the basics and progresses to advanced techniques like transfer learning and self-supervision within annotation workflows.