They are so excited. Let's follow along and join in the fun.

    Professors Gary Marcus and Ernest Davis have spent their careers at the forefront of AI research and have witnessed some of the greatest milestones in the field, but they argue that a computer winning in games like Jeopardy and go does not signal that we are on the doorstep of fully autonomous cars or superintelligent machines. The achievements in the field thus far have occurred in closed systems with fixed sets of rules. These approaches are too narrow to achieve genuine intelligence. The world we live in is wildly complex and open-ended. How can we bridge this gap? What will the consequences be when we do? Marcus and Davis show us what we need to first accomplish before we get there and argue that if we are wise along the way, we won't need to worry about a future of machine overlords. If we heed their advice, humanity can create an AI that we can trust in our homes, our cars, and our doctor's offices. Reboot provides a lucid, clear-eyed assessment of the current science and offers an inspiring vision of what we can achieve and how AI can make our lives better.

    A great new addition to your Pokémon library

    He looks like us, he lives like us... but he is not one of us. Kalian knows nothing outside of his mundane life teaching history on 30th century Earth, until a day like any other triggers a series of events, which will tie his fate to that of humanity. A human hand print, embedded into a rock with alien script, is discovered on a moon that mankind has never set foot on. This discovery holds a secret, which will sweep Kalian into the heart of a conspiracy that has corrupted the galaxy for two hundred thousand years.

     Lacey Luzzi’s rollercoaster of a life has been filled with the highest of highs and the lowest of lows. She just never expected the lows to be so… sparkly. After falling on her face during an attempt to follow in her recently-deceased mother’s stripper-boots, Lacey realizes she’s not cut out for life on stage. She sets out on a year-long investigation to find her true family, never expecting she’ll find it with a capital “F.” With a rumbling stomach, a need for money (check engine lights don’t fix themselves!), and a conscience that operates at 78% on a good day, Lacey is sucked into a whirlwind of Family secrets, hard-as-cement cookies, and mysterious, sexy men who unfortunately shoot guns, sometimes aimed at her face. The long-lost-granddaughter of Carlos Luzzi, the Godfather of the Italian Mafia, Lacey accepts her first assignment for the mob: finding fifteen million dollars of ‘the good stuff.’ Even after she enlists the help of her mouthy best-friend and her cousin, a technical genius and social disaster, she finds that going toe-to-toe with the rival Russian mob is more dangerous than expected. No one chooses their Family, but Lacey Luzzi will be lucky if she can survive hers. ** ** Lacey Luzzi: Sprinkled, is a full-length, laugh-out-loud, humorous cozy mystery with a strong female protagonist in the spirit of Janet Evanovich’s Stephanie Plum, albeit one working for the wrong side of the law… Note: Rated a strong PG-13 for sarcasm and mild language. No graphic gore or sex.

     Part of the Storycuts series, this short story was previously published in the collection If You Liked School, You'll Love Work.

    The Godling Chronicles Book Four - A Trial of Souls Book Five - Madness of the Fallen Book Six - The Reborn King

    Lucid Intervals Strategic Moves Bel-Air Dead

    The constituent technologies discussed comprise neural networks, fuzzy logic, genetic algorithms, and a number of hybrid systems which include classes such as neuro-fuzzy, fuzzy-genetic, and neuro-genetic systems. The hybridization of the technologies is demonstrated on architectures such as Fuzzy-Back-propagation Networks (NN-FL), Simplified Fuzzy ARTMAP (NN-FL), and Fuzzy Associative Memories. The book also gives an exhaustive discussion of FL-GA hybridization. This book with a wealth of information that is clearly presented and illustrated by many examples and applications is designed for use as a text for courses in soft computing at both the senior undergraduate and first-year postgraduate engineering levels.

    

    But ask a physicist and there’s no doubt that James Clerk Maxwell will be near the top of the list.  Maxwell, an unassuming Victorian Scotsman, explained how we perceive colour. He uncovered the way gases behave. And, most significantly, he transformed the way physics was undertaken in his explanation of the interaction of electricity and magnetism, revealing the nature of light and laying the groundwork for everything from Einstein’s special relativity to modern electronics.   Along the way, he set up one of the most enduring challenges in physics, one that has taxed the best minds ever since. ‘Maxwell’s demon’ is a tiny but thoroughly disruptive thought experiment that suggests the second law of thermodynamics, the law that governs the flow of time itself, can be broken. This is the story of a groundbreaking scientist, a great contributor to our understanding of the way the world works, and his duplicitous demon.

    Courses tailored to fit individual pupils. Textbooks that talk back. This is tomorrow’s education landscape, thanks to the power of big data. These advances go beyond the much-discussed rise of online courses. As the New York Times-bestselling authors of Big Data explain, the truly fascinating changes are actually occurring in how we measure students’ progress and how we can use that data to improve education for everyone, in real time, both on- and offline. Learning with Big Data offers an eye-opening, insight-packed tour through these new trends, for educators, administrators, and readers interested in the latest developments in business and technology.

    We currently see no evidence of any kind indicating that extraterrestrials exist outside of our solar system. But at this moment, millions of engineers, scientists, corporations, universities and entrepreneurs are racing to create the second intelligent species right here on planet earth. And we can see the second intelligent species coming from all directions in the form of self-driving cars, automated call centers, chess-playing and Jeopardy-playing computers that beat all human players, airport kiosks, restaurant tablet systems, etc. The frightening thing is that these robots will soon be eliminating human jobs in startling numbers. The first wave of unemployed workers is likely to be a million truck drivers who are replaced by self-driving trucks. Pilots will be eliminated soon as well. Then, as new computer vision systems come online, we will see tens of millions of workers in retail stores, fast food restaurants and construction sites replaced by robots. Unless we take steps now to change the economy, we will soon have tens of millions of workers who are unemployed and seeking welfare because they will have no other choice. Marshall Brain's new book "The Second Intelligent Species: How Humans Will Become as Irrelevant as Cockroaches" explores how the future will unfold as the second intelligent species emerges. The book answers questions like: - How will new computer vision systems affect the job market? - How many people will become unemployed by the second intelligent species? - What will happen to millions of newly unemployed workers? - How can modern society and modern economies cope with run-away unemployment caused by robots? - What will happen when the first sentient, conscious computer appears? - What moral and ethical principles will guide the second intelligent species? - Why do we see no extraterrestrials in our universe? "The Second Intelligent Species" offers a unique and fascinating look at the future of the human race, and the choices we will need to make to avoid massive unemployment and poverty worldwide as intelligent machines start eliminating millions of jobs.

    Right?! Machine Learning is a branch of computer science that wants to stop programming computers using a detailed list of commands to follow blindly. Instead, their aim is to implement high-level routines that teach computers how to approach new and unknown problems – these are called algorithms. In practice, they want to give computers the ability to Learn and to Adapt. We can use these algorithms to obtain insights, recognize patterns and make predictions from data, images, sounds or videos we have never seen before – or even knew existed. Unfortunately, the true power and applications of today’s Machine Learning Algorithms remain deeply misunderstood by most people. Through this book I want fix this confusion, I want to shed light on the most relevant Machine Learning Algorithms used in the industry. I will show you exactly how each algorithm works, why it works and when you should use it. Supervised Learning Algorithms K-Nearest Neighbour Naïve Bayes Regressions Unsupervised Learning Algorithms: Support Vector Machines Neural Networks Decision Trees

    I’m definitely having a midlife crisis…I didn’t expect to be single at forty-five, but I’ve always prided myself on facing up to a challenge. A new town, a better job, and a cozy cottage of my own are all at the top of my To Do list. A new man? Right at the bottom. I’m far too busy for love.Returning to the Devon village of Crows Tor on Dartmoor brings a new lease of life for me – in more ways than one. It turns out my old school friend, Fiona, makes a secret moonshine at her whisky distillery using spring water collected under the full moon. Apparently it enhances your psychic powers, and she tempts me to have a shot… or three.I’m thrilled at the prospect of developing my psychic abilities. And then I look into a crystal ball at the May Day fair and have a vision of a murder. Suddenly it’s not such a fun idea after all, especially when my prediction comes true. Consumed by guilt because I didn’t warn the victim, I’m determined to find the killer, even if it puts me in the very path of danger…*The Midlife Moonshine stories are set on Dartmoor in Devon, England, and contain British English spelling and usage. They are clean reads with no graphic violence, strong language, or sex, but they’re packed with magic, mystery, romance, and history – all starring women in the prime of midlife!