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Sunday, May 20, 2018

Suggested Books of the Week 20, 2018

Check out these books below by Cambridge University Press and Oxford University Press


Calendrical Calculations

Calendrical Calculations:
The Ultimate Edition
An invaluable resource for working programmers, as well as a fount of useful algorithmic tools for computer scientists, astronomers, and other calendar enthusiasts, The Ultimate Edition updates and expands the previous edition to achieve more accurate results and present new calendar variants. The book now includes coverage of Unix dates, Italian time, the Akan, Icelandic, Saudi Arabian Umm al-Qura, and Babylonian calendars. 

There are also expanded treatments of the observational Islamic and Hebrew calendars and brief discussions of the Samaritan and Nepalese calendars. Several of the astronomical functions have been rewritten to produce more accurate results and to include calculations of moonrise and moonset. The authors frame the calendars of the world in a completely algorithmic form, allowing easy conversion among these calendars and the determination of secular and religious holidays. LISP code for all the algorithms is available in machine-readable form.  

Adversarial Machine Learning 

Adversarial Machine Learning
Written by leading researchers, this complete introduction brings together all the theory and tools needed for building robust machine learning in adversarial environments. Discover how machine learning systems can adapt when an adversary actively poisons data to manipulate statistical inference, learn the latest practical techniques for investigating system security and performing robust data analysis, and gain insight into new approaches for designing effective countermeasures against the latest wave of cyber-attacks...

Cambridge Series in Statistical and Probabilistic thematics

Cambridge Series in Statistical
and Probabilistic Mathematics

This series of high quality upper-division textbooks and expository monographs covers all areas of stochastic applicable mathematics. The topics range from pure and applied statistics to probability theory, operations research, mathematical programming, and optimisation. The books contain clear presentations of new developments in the field and also of the state of the art in classical methods. While emphasising rigorous treatment of theoretical methods, the books also contain applications and discussions of new techniques made possible by advances in computational practice.
Read more... 

Society and the Internet
Society and the Internet
The book describes how society is being shaped by the diffusion and increasing centrality of the Internet in everyday life and work. It introduces students and those interested in the factors shaping the Internet and its impact on society to a core set of readings that address this question in specific social and institutional contexts.
  • Interdisciplinary appeal across the social sciences
  • Chapters focus on showing how research can inform and stimulate debate on theory, policy, and practice
  • Accessibly written and clearly structured introduction to the social shaping of the Internet and its societal implications
  • Ideal for advanced courses on the Internet and ICT
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Artificial Intelligence: A Very Short Introducion 

Artificial Intelligence:  
A Very Short Introducion
This concise guide explains the history, theory, potential, application, and limitations of Artificial Intelligence. Boden shows how research into AI has shed light on the working of human and animal minds, and she considers the philosophical challenges AI raises: could programs ever be really intelligent, creative or even conscious?
  • Presents a rounded view of Artificial Intelligence, its history, its successes, its limitations, and its future goals
  • Considers the realistic and unrealistic expectations we have placed on AI

  • Shows how the results of Artificial Intelligence have been valuable in helping to understand the mental processes of memory, learning, and language for living creatures
  • Explores the issues AI raises about what it means to be creative, intelligent, conscious - and human
  • Part of the Very Short Introductions series - over nine million copies sold worldwide
  •

    The Oxford Handbook of Technology and Music Education

    The Oxford Handbook
    of Technology and Music Education
    Few aspects of daily existence are untouched by technology. The learning and teaching of music is no exception and arguably has been impacted as much or more than other areas of life. Digital technologies have come to affect music learning and teaching in profound ways, influencing everything from how we create, listen, share, consume, interact, and conceptualize musical practices and the musical experience. For a discipline as entrenched in tradition as music education, this has brought forth myriad views on what does and should constitute music learning and teaching...

    Enjoy your reading! 

    Source: Cambridge University Press and Oxford University Press

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    85 books for summer reading | Books - Milwaukee Journal Sentinel

    "Whether you're on the road or staying on the porch this summer, a book can be your traveling companion" says Jim Higgins, writes about books and the performing arts.

    A selection of summer reading choices for 2018
    Photo: Submitted photos

    Here are some suggestions of new and newish books for summer reading, including ones with a Wisconsin pedigree. While these selections keep pleasure reading foremost in mind, some hard-hitting books are included. 

    The Milwaukee Public Library encourages your children to join its Super Reader Squad for children 12 and younger, and its teen reader program for youth ages 13 through 18. In addition to the pure pleasure of reading, children and teens can earn prizes. 

    If you live in a different community, check with your local library. It probably has a summer reading program, too.

    Thanks to my colleague Chris Foran for contributing the pop-culture and baseball sections, and to contributor Mike Fischer,whose previous reviews inspired some of these picks.

    Source: Milwaukee Journal Sentinel

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    Saturday, May 19, 2018

    UI College of Education brings advanced science education to rural areas | Iowa Now

    Photo: Lynn Anderson Davy
    "It’s just after 3:30 p.m. on a recent Tuesday and Atlantic Middle School, and science teacher Kara Martin is passing out Pringles potato chips" reports Lynn Anderson Davy, Office of Strategic Communication. 

    Atlantic Middle School students (from left) Claire Pellett, Dante Hedrington, Mary McCurdy, Nicole Middents work on an exercise that involves engineering and science concepts...
    Photo: Lynn Anderson Davy.

    But instead of popping the chips into their mouths, the sixth- and seventh-graders cradle them in open palms, waiting for instructions.

    This isn’t snack time. This is science.

    With the chips distributed, Martin explains that students will work in small groups to engineer the perfect chip package, one that will measure a maximum of 3-by-5 inches and will protect their chip as it travels through the U.S. Postal Service system.

    “And you can’t write ‘fragile’ or ‘handle with care’ on your package,” Martin says just before students leap into action.

    For the past three years, a small number of science-savvy students at Atlantic Middle School, located 80 miles west of Des Moines, have benefited from additional classroom work in STEM subjects. Sixth- and seventh-grade students meet with Martin for an hour every Thursday to conduct experiments that incorporate advanced engineering and science concepts. Eighth-graders meet on Saturday mornings with another teacher.

    The science tutorials are part of a program offered by the Belin-Blank Center, part of the University of Iowa College of Education. With funding from the National Science Foundation and the Jack Kent Cooke Foundation, the STEM Excellence and Leadership program aims to encourage gifted students in rural areas to take on rigorous science and technology classes and urges them to pursue STEM fields in college. Although the program is still fairly new, feedback from participating middle school teachers has been positive.

    “I’ve seen some students make 180-degree turnarounds in terms of their classroom attitude and behavior,” says Andrea Reilly, a UI College of Education alumna who is a science teacher at Atlantic Middle School and the talented and gifted coordinator for the Atlantic Community School District. “I have parents ask me how they can get their kids into the program. It’s seen as a tremendous asset.”

    Atlantic Middle School is one of 10 schools across Iowa that are part of the STEM Excellence and Leadership program. Teachers at participating schools receive additional funding to purchase science and technology resources, including supplies for experiments and classroom projects, and are invited once a year to tour the UI campus with their students. As part of the tour, students visit science and engineering labs on campus and meet with college students. Teachers also visit campus during the summer for professional development and discuss new ways to boost STEM education at their schools.
    Read more... 

    Source: Iowa Now

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    Difference Between Machine Learning and Deep Learning | Technology - BBN Times

    Photo: Naveen Joshi
    "Machine learning and deep learning are often confused to be the same. The following article highlights their main differences and how both technologies will change the world" according to Naveen Joshi, Tech Guru.

    Photo: BBN Times

    Over the past few years, the growth in technologies like AI, big data, and blockchain has offered incredible benefits to both, the industries and the end users. As a result, AI is gaining a lot of attention due to its ability to create machines that can behave intelligently and smartly, like humans. However, AI is broadly classified into two major concepts: machine learning and deep learning. These two terms are often used interchangeably and the difference between machine learning and deep learning remains unknown to most. Machine learning and deep learning are entirely different from one another.

    To simplify, deep learning is a part of machine learning. By definition, machine learning is an approach of AI that is explicitly programmed to make devices understand, analyze, learn, and adapt to their work environment. For instance, Netflix offers us a list of movie recommendations based on our past preferences. Machine learning algorithm parses the assimilated data and its algorithms analyze it to act accordingly. Furthermore, we have come across Google’s ‘did you mean’ section, right?, which pops up when a typo error occurs. Google uses its machine learning algorithm to learn from our mistakes and recommend the correct word to us.

    On the other hand, deep learning is a part of machine learning that parses massive volume of data using neural networks to obtain a more profound outcome that machine learning fails to achieve. In simple words, deep learning algorithm works similar to how humans interpret and understand a situation. For example, when it comes to identifying a dog, deep learning technique applies its algorithm that finds out that a dog image has been provided to them, whereas machine learning just parses the data and outputs that it is an animal.

    Source: BBN Times 

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    To Build Truly Intelligent Machines, Teach Them Cause and Effect | Quanta Magazine

    Judea Pearl, a pioneering figure in artificial intelligence, argues that AI has been stuck in a decades-long rut. His prescription for progress? Teach machines to understand the question why.  

    Photo: Monica Almeida for Quanta Magazine

    Artificial intelligence owes a lot of its smarts to Judea Pearl. In the 1980s he led efforts that allowed machines to reason probabilistically. Now he’s one of the field’s sharpest critics. In his latest book, The Book of Why: The New Science of Cause and Effect, he argues that artificial intelligence has been handicapped by an incomplete understanding of what intelligence really is.

    Artificial intelligence owes a lot of its smarts to Judea Pearl. In the 1980s he led efforts that allowed machines to reason probabilistically. Now he’s one of the field’s sharpest critics. In his latest book, “The Book of Why: The New Science of Cause and Effect,” he argues that artificial intelligence has been handicapped by an incomplete understanding of what intelligence really is. 

    Three decades ago, a prime challenge in artificial intelligence research was to program machines to associate a potential cause to a set of observable conditions. Pearl figured out how to do that using a scheme called Bayesian networks. Bayesian networks made it practical for machines to say that, given a patient who returned from Africa with a fever and body aches, the most likely explanation was malaria. In 2011 Pearl won the Turing Award, computer science’s highest honor, in large part for this work.

    But as Pearl sees it, the field of AI got mired in probabilistic associations. These days, headlines tout the latest breakthroughs in machine learning and neural networks. We read about computers that can master ancient games and drive cars. Pearl is underwhelmed. As he sees it, the state of the art in artificial intelligence today is merely a souped-up version of what machines could already do a generation ago: find hidden regularities in a large set of data. “All the impressive achievements of deep learning amount to just curve fitting,” he said recently.
    Read more... 

    Recommended Reading

    The Book of Why:
    The New Science of Cause and Effect
    "A Turing Prize-winning computer scientist and statistician shows how understanding causality has revolutionized science and will revolutionize artificial intelligence" 

    Source: Quanta Magazine

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    How artificial intelligence is changing science | Stanford University News

    Photo: Nathan Collins
    Nathan Collins, Stanford News Service summarizes, "Artificial intelligence is now part of our daily lives, whether in voice recognition systems or route finding apps."

    Photo: Alisha Ober

    But scientists are increasingly drawing on artificial intelligence to understand society, design new materials and even improve our health.

    Once a computer scientist’s pipe dream, artificial intelligence is now part of our daily lives in the form of voice recognition systems, product recommendation platforms and navigation tools. All of these rely on computer algorithms that process information and solve problems in a way similar to – and sometimes superior to – the human mind.

    Yet artificial intelligence is doing more than just recommending new restaurants and the best routes to them. It is also changing the way scientists across diverse disciplines are studying the world.
    Read more... 

    Source: Stanford University News

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    Wednesday, May 16, 2018

    A master’s degree that’s more than something to sing about | Health & Medicine - Harvard Gazette

    This is one in a series of profiles showcasing some of Harvard’s stellar graduates.

    "González-Alverio hopes her musical talents can remedy pain from physical to psychic, even to prematurity" says Edward Mason, Harvard Correspondent.

    Already the master of 10 instruments and four languages, Jeniris González-Alverio wanted to earn a degree that she could use to help children and adults recover from injuries and overcome disabilities.
    Photo: Jon Chase/Harvard Staff Photographer

    A person who sings, plays many instruments, and is fluent in four languages can garner so many opportunities it’s hard to focus. What to make of one’s mastery?
    Jeniris González-Alverio, 29, decided on music therapy, using the power of music and song to help children and adults recover from injuries and overcome disabilities.
    “If there’s one thing my life is focused on, it’s using my skills and resources to change the world for the better. I want to be of service,” said González-Alverio, Ed.M. ’18.

    Her parents weren’t musical, but González-Alverio was a natural singer and musician from an early age. She can play “at least” 10 instruments, including piano, guitar, ukulele, drums, bass guitar, flute, and piccolo. Languages have come easily too. She’s fluent in English, Spanish, Italian, and American Sign Language.

    González-Alverio was a teenager when she first thought about music therapy: She noticed while singing lullabies to a baby cousin that the sound of her voice calmed him.
    Music therapy is the therapeutic use of music to address individuals’ physical, emotional, cognitive, and/or social needs, according to the American Music Therapy Association.

    Becoming a music therapist did not come as easily as learning to play all those instruments. González-Alverio spent several years singing and playing with touring bands across Puerto Rico to save money for college. She first attended the University of Puerto Rico, then transferred to Berklee College of Music, where she graduated summa cum laude in 2013 with a degree in music therapy and psychology.

    Recommended Reading

    Howard Gardner
    Photo: Stephanie Mitchell/Harvard Staff Photographer
    ‘The greatest gift you can have is a good education, one that isn’t strictly professional’ by Liz Mineo, Harvard Staff Writer.
    "In a life of multiple pursuits, Howard Gardner has remained a student above all else." 

    Source: Harvard Gazette

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    Pioneering College for Adults Struggles in Middle Age | Inside Higher Ed

    Doug Lederman, Editor, is one of the three founders of Inside Higher Ed notes, "Excelsior College, founded to help adults complete degrees online, staggers after curtailing its biggest program over quality concerns. Administrators say "repositioning" is working, but a more competitive market awaits."

    Photo: Inside Higher Ed
    As it headed into the 2016 academic year, Excelsior College looked to be on a roll. Revenue from student enrollments and the exam services provided by the private nonprofit institution had risen by roughly $10 million in each of the previous two years, and its budget setters assumed similar growth from 2015 to 2016.

    After all, demand for the one academic program overwhelmingly responsible for the budget increases -- the associate degree in nursing program, which accounted for nearly half of Excelsior's students -- showed no signs of fading amid a tight nursing job market.

    But the college's leaders knew better: all was not well with the nursing program, which enrolled degree-seeking students who were already registered nurses or licensed practical nurses. Although enrollment of full-paying students continued to boom, topping out around 21,000 in 2016, their outcomes were increasingly a bust. Just one in six of the enrollees -- many of them minority women -- earned a degree.

    "When you are enrolling people who are not going to be able to complete, you are setting them up for debt they can’t repay or spending money and getting no degree in return for that," James Baldwin, Excelsior's president since 2016, told a group of employees last month. (A two-hour recording of the conversation, for a time publicly available on an Excelsior webpage, offered an unusually honest glimpse into the college's internal conversations.)

    With regulatory scrutiny of poorly performing for-profit colleges intensifying at the time, Excelsior officials felt what Baldwin called "a very significant vulnerability" in the associate nursing program. "They could easily have looked at the ADN program," Baldwin said in that April meeting. That program had also been the subject of litigation by unhappy former students...

    History and Context
    Excelsior was founded in 1971 by the New York Board of Regents (with funding from the Ford Foundation and Carnegie Corporation) to focus on adult learners, long before most colleges paid attention to those students. Operating first as Regents External Degree Program and then Regents College as part of the State University of New York, it was among a small stable of nontraditional institutions (Thomas Edison State University, Charter Oak State College, Empire State College, the University of Maryland University College) that served primarily military service members, working adults and others. It became an independent nonprofit college in 1998 and changed its name to Excelsior in 2001.

    Source: Inside Higher Ed 

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    Find out about Machine Learning, Artificial Intelligence, Big Data and Patient Engagement at FutureLink Munich | pharmaceutical - Packaging Europe

    TraceLink Inc., the Track and Trace Network for connecting the life sciences supply chain and providing real-time information sharing for better patient outcomes, has announced the latest keynote speakers for its upcoming FutureLink Munich conference to be held June 5-7, 2018. 

    Confirmed speakers include industry and academic thought-leaders: Professor Elgar Fleisch, Ph.D., of ETH Zurich; Justus Wolff of the Syte Institute; and, Andrew Rut, M.D., CEO, MyMeds&Me.

    FutureLink Munich Addresses Artificial Intelligence, Machine Learning and Patient Engagement The unique FutureLink value track will address the operational and commercial challenges in the pharmaceutical and healthcare arenas, delivering industry insights on how to capitalize on serialization and big data with artificial intelligence (AI), machine learning and predictive analytics, to improve patient outcomes. The conference will include discussions and workshops for commercial executives interested developing transformative strategies for brand protection, patient safety, instant and accurate product recalls and directly engaging healthcare providers at the point-of-dispense, and with patients at the point of consumption. 

    Featured value speakers at FutureLink Munich include: 
    •    Professor Elgar Fleisch, Ph.D. from ETH Zurich and the University of St. Gallen, will cover the application of artificial intelligence (AI) and machine learning in the pharmaceutical and healthcare fields in his presentation, “The Digital Pill: How Digital Technologies Change Health Care.”...

    FutureLink Munich is being held at the Sheraton Munich Arabellapark Hotel. 
    For further information and to register for the conference, visit
    Read more...  

    Source: Packaging Europe

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    Tuesday, May 15, 2018

    7 things to do to prepare for distance learning | Study International News

    "After umming and ahhing about what was the best course to study, how much you could afford to spend, how far you could travel, whether you wanted a local or international degree (we vote foreign!), you have finally come to a decision. You’re going to get your qualification online" inform

    Studying in bed is pretty great... but ya' might wanna leave the house at some point
    Photo: Shutterstock
    Perhaps you have family to care for, a job you wish to keep at home, or you cannot afford to move to the other side of the world to get the degree you so crave.
    There are many reasons you might choose to study online but mostly it rewards you with an opportunity to get a degree from one of the best universities in the world from the comfort of your own home, as well as giving you almost total flexibility.
    So, you’ve been accepted into a distance learning programme. You’re excited, ready for the challenge and raring to go. Here is what you need to do to prepare…
    Read more 

    Source: Study International News

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