Fully Connected

Surviving and Thriving in an Age of Overload

Author: Julia Hobsbawm

Publisher: Bloomsbury Publishing

ISBN: 1472926854

Category: Business & Economics

Page: 256

View: 2796

Shortlisted for the CMI's Management Book of the Year Award 2018 and the Business Book Awards 2018 Twenty-five years after the arrival of the Internet, we are drowning in data and deadlines. Humans and machines are in fully connected overdrive - and starting to become entwined as never before. Truly, it is an Age of Overload. We can never have imagined that absorbing so much information while trying to maintain a healthy balance in our personal and professional lives could feel so complex, dissatisfying and unproductive. Something is missing. That something, Julia Hobsbawm argues in this ground-breaking book, is Social Health, a new blueprint for modern connectedness. She begins with the premise that much of what we think about healthy ways to live have not been updated any more than have most post-war modern institutions, which are themselves also struggling in the twenty-first century. In 1946, the World Health Organization defined 'health' as 'a state of complete physical, mental and social well-being and not merely the absence of disease or infirmity.' What we understood by 'social' in the middle of the last century now desperately needs an update. In Fully Connected Julia Hobsbawm takes us on a journey – often a personal one, 'from Telex to Twitter' – to illustrate how the answer to the Age of Overload can come from devising management-based systems which are both highly practical and yet intuitive, and which draw inspiration from the huge advances the world has made in tackling other kinds of health, specifically nutrition, exercise, and mental well-being. Drawing on the latest thinking in health and behavioural economics, social psychology, neuroscience, management and social network analysis, this book provides a cornucopia of case studies and ideas, to educate and inspire a new generation of managers, policymakers and anyone wanting to navigate through the rough seas of overload.

Fully Connected

Surviving and Thriving in an Age of Overload

Author: Julia Hobsbawm

Publisher: Bloomsbury Publishing

ISBN: 1472926862

Category: Business & Economics

Page: 256

View: 763

Shortlisted for the CMI's Management Book of the Year Award 2018 and the Business Book Awards 2018 Twenty-five years after the arrival of the Internet, we are drowning in data and deadlines. Humans and machines are in fully connected overdrive - and starting to become entwined as never before. Truly, it is an Age of Overload. We can never have imagined that absorbing so much information while trying to maintain a healthy balance in our personal and professional lives could feel so complex, dissatisfying and unproductive. Something is missing. That something, Julia Hobsbawm argues in this ground-breaking book, is Social Health, a new blueprint for modern connectedness. She begins with the premise that much of what we think about healthy ways to live have not been updated any more than have most post-war modern institutions, which are themselves also struggling in the twenty-first century. In 1946, the World Health Organization defined 'health' as 'a state of complete physical, mental and social well-being and not merely the absence of disease or infirmity.' What we understood by 'social' in the middle of the last century now desperately needs an update. In Fully Connected Julia Hobsbawm takes us on a journey – often a personal one, 'from Telex to Twitter' – to illustrate how the answer to the Age of Overload can come from devising management-based systems which are both highly practical and yet intuitive, and which draw inspiration from the huge advances the world has made in tackling other kinds of health, specifically nutrition, exercise, and mental well-being. Drawing on the latest thinking in health and behavioural economics, social psychology, neuroscience, management and social network analysis, this book provides a cornucopia of case studies and ideas, to educate and inspire a new generation of managers, policymakers and anyone wanting to navigate through the rough seas of overload.

Fully Connected

Surviving and Thriving in an Age of Overload

Author: Julia Hobsbawm

Publisher: Bloomsbury Business

ISBN: 9781472956804

Category: Business & Economics

Page: 360

View: 7638

In 1946, the World Health Organization defined health as: "a state of complete physical, mental, and social well-being, and not merely the absence of disease or infirmity." Until now, no one has defined this third dimension to health, or described strategies to deliver it. This ground-breaking book is the first to do so. Twenty-five years after the arrival of the Internet, we are drowning in data and deadlines; we can never have imagined that our daily intake of information and achieving a healthy balance in our personal and professional lives could feel so complex and so unhealthy. In recent years, organizations have come a long way towards promoting health literacy (on obesity, smoking, diet, and exercise) and some way in acknowledging mental health issues. But acknowledging the challenges of the Internet and social media on employee and workplace health is the social element, and most have not yet begun to offer solutions around either better information and knowledge management, or developing better and more sustaining relationships. The challenges, threats, and opportunities of a "perma-connected" global economy and society could not be greater-and they will only increase. This is the first book to define what social health means in both society and the modern workplace. Here, Julia Hobsbawm argues that developing social health will help employees become more efficiently engaged with each other and their work, and help employers to create workplaces that support social health and thus greater productivity.

One Degree of Separation

A Fully Connected Life

Author: Beth Hersh Goldsmith

Publisher: BookBaby

ISBN: 1937650731

Category: Biography & Autobiography

Page: 173

View: 1598

Born after all of her grandparents had passed away, Beth Hersh Goldsmith always felt she had missed out on hearing the rich tales of her family’s previous generations. Grateful for her full and fulfilling life, she felt determined to share her own stories. In One Degree of Separation she recounts her eventful childhood in Charlotte, North Carolina, suburban Chicago, San Diego, and Beverly Hills. She tells of remarkable and surprising encounters with friends, relatives, and strangers in places as far-flung as Jerusalem, Soviet-era Leningrad, London, and Bulgaria. She shares the lessons of a rewarding career running nonprofits while raising a beautiful family. Most of all, she shows us the value of forging deep, human bonds with everyone from corporate CEOs to car mechanics, from nurses to neighbors to nannies. As Beth puts it, “Making these connections makes life meaningful.”

Machine Learning with Swift

Artificial Intelligence for iOS

Author: Oleksandr Sosnovshchenko,Oleksandr Baiev

Publisher: Packt Publishing Ltd

ISBN: 1787123529

Category: Computers

Page: 378

View: 1118

Leverage the power of machine learning and Swift programming to build intelligent iOS applications with ease Key Features Implement effective machine learning solutions for your iOS applications Use Swift and Core ML to build and deploy popular machine learning models Develop neural networks for natural language processing and computer vision Book Description Machine learning as a field promises to bring increased intelligence to the software by helping us learn and analyse information efficiently and discover certain patterns that humans cannot. This book will be your guide as you embark on an exciting journey in machine learning using the popular Swift language. We’ll start with machine learning basics in the first part of the book to develop a lasting intuition about fundamental machine learning concepts. We explore various supervised and unsupervised statistical learning techniques and how to implement them in Swift, while the third section walks you through deep learning techniques with the help of typical real-world cases. In the last section, we will dive into some hard core topics such as model compression, GPU acceleration and provide some recommendations to avoid common mistakes during machine learning application development. By the end of the book, you'll be able to develop intelligent applications written in Swift that can learn for themselves. What you will learn Learn rapid model prototyping with Python and Swift Deploy pre-trained models to iOS using Core ML Find hidden patterns in the data using unsupervised learning Get a deeper understanding of the clustering techniques Learn modern compact architectures of neural networks for iOS devices Train neural networks for image processing and natural language processing Who this book is for iOS developers who wish to create smarter iOS applications using the power of machine learning will find this book to be useful. This book will also benefit data science professionals who are interested in performing machine learning on mobile devices. Familiarity with Swift programming is all you need to get started with this book.

TensorFlow for Deep Learning

From Linear Regression to Reinforcement Learning

Author: Bharath Ramsundar,Reza Bosagh Zadeh

Publisher: "O'Reilly Media, Inc."

ISBN: 1491980400

Category: Computers

Page: 256

View: 960

Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals by showing you how to design systems capable of detecting objects in images, understanding text, analyzing video, and predicting the properties of potential medicines. TensorFlow for Deep Learning teaches concepts through practical examples and helps you build knowledge of deep learning foundations from the ground up. It’s ideal for practicing developers with experience designing software systems, and useful for scientists and other professionals familiar with scripting but not necessarily with designing learning algorithms. Learn TensorFlow fundamentals, including how to perform basic computation Build simple learning systems to understand their mathematical foundations Dive into fully connected deep networks used in thousands of applications Turn prototypes into high-quality models with hyperparameter optimization Process images with convolutional neural networks Handle natural language datasets with recurrent neural networks Use reinforcement learning to solve games such as tic-tac-toe Train deep networks with hardware including GPUs and tensor processing units

A Connected Curriculum for Higher Education

Author: Dilly Fung

Publisher: UCL Press

ISBN: 191157633X

Category: Education

Page: 182

View: 4380

Is it possible to bring university research and student education into a more connected, more symbiotic relationship? If so, can we develop programmes of study that enable faculty, students and ‘real world’ communities to connect in new ways? In this accessible book, Dilly Fung argues that it is not only possible but also potentially transformational to develop new forms of research-based education. Presenting the Connected Curriculum framework already adopted by UCL, she opens windows onto new initiatives related to, for example, research-based education, internationalisation, the global classroom, interdisciplinarity and public engagement. A Connected Curriculum for Higher Education is, however, not just about developing engaging programmes of study. Drawing on the field of philosophical hermeneutics, Fung argues how the Connected Curriculum framework can help to create spaces for critical dialogue about educational values, both within and across existing research groups, teaching departments and learning communities. Drawing on vignettes of practice from around the world, she argues that developing the synergies between research and education can empower faculty members and students from all backgrounds to contribute to the global common good.

Deep Learning

Author: Ian Goodfellow,Yoshua Bengio,Aaron Courville

Publisher: MIT Press

ISBN: 0262337371

Category: Computers

Page: 800

View: 660

"Written by three experts in the field, Deep Learning is the only comprehensive book on the subject." -- Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

Designing Multi-Device Experiences

An Ecosystem Approach to User Experiences Across Devices

Author: Michal Levin

Publisher: "O'Reilly Media, Inc."

ISBN: 1449340431

Category: Computers

Page: 322

View: 4334

Welcome to our multi-device world, a world where a user’s experience with one application can span many devices—a smartphone, a tablet, a computer, the TV, and beyond. This practical book demonstrates the variety of ways devices relate to each other, combining to create powerful ensembles that deliver superior, integrated experiences to your users. Learn a practical framework for designing multi-device experiences, based on the 3Cs—Consistent, Complementary, and Continuous approaches Graduate from offering everything on all devices, to delivering the right thing, at the right time, on the best (available) device Apply the 3Cs framework to the broader realm of the Internet of Things, and design multi-device experiences that anticipate a fully connected world Learn how to measure your multi-device ecosystem performance Get ahead of the curve by designing for a more connected future

Bildverarbeitung für die Medizin 2017

Algorithmen - Systeme - Anwendungen. Proceedings des Workshops vom 12. bis 14. März 2017 in Heidelberg

Author: Klaus Hermann Maier-Hein, geb. Fritzsche,Thomas Martin Deserno, geb. Lehmann,Heinz Handels,Thomas Tolxdorff

Publisher: Springer-Verlag

ISBN: 3662543451

Category: Computers

Page: 368

View: 5795

In den letzten Jahren hat sich der Workshop "Bildverarbeitung für die Medizin" durch erfolgreiche Veranstaltungen etabliert. Ziel ist auch 2017 wieder die Darstellung aktueller Forschungsergebnisse und die Vertiefung der Gespräche zwischen Wissenschaftlern, Industrie und Anwendern. Die Beiträge dieses Bandes - einige davon in englischer Sprache - umfassen alle Bereiche der medizinischen Bildverarbeitung, insbesondere Bildgebung und -akquisition, Maschinelles Lernen, Bildsegmentierung und Bildanalyse, Visualisierung und Animation, Zeitreihenanalyse, Computerunterstützte Diagnose, Biomechanische Modellierung, Validierung und Qualitätssicherung, Bildverarbeitung in der Telemedizin u.v.m.

Recurrent Neural Networks

Design and Applications

Author: Larry Medsker,Lakhmi C. Jain

Publisher: CRC Press

ISBN: 9781420049176

Category: Computers

Page: 416

View: 7216

With existent uses ranging from motion detection to music synthesis to financial forecasting, recurrent neural networks have generated widespread attention. The tremendous interest in these networks drives Recurrent Neural Networks: Design and Applications, a summary of the design, applications, current research, and challenges of this subfield of artificial neural networks. This overview incorporates every aspect of recurrent neural networks. It outlines the wide variety of complex learning techniques and associated research projects. Each chapter addresses architectures, from fully connected to partially connected, including recurrent multilayer feedforward. It presents problems involving trajectories, control systems, and robotics, as well as RNN use in chaotic systems. The authors also share their expert knowledge of ideas for alternate designs and advances in theoretical aspects. The dynamical behavior of recurrent neural networks is useful for solving problems in science, engineering, and business. This approach will yield huge advances in the coming years. Recurrent Neural Networks illuminates the opportunities and provides you with a broad view of the current events in this rich field.

Computer Science and Communications Dictionary

Author: Martin Weik

Publisher: Springer Science & Business Media

ISBN: 0792384253

Category: Business & Economics

Page: 2006

View: 3874

Covering both computer science and communications technology, this dictionary features over 20,000 entries. It covers the technology trends in computer science, communications, networking, supporting protocols, and the internet. It is suitable for students and professionals in computer science and communications.

Real

The Power of Authentic Connection

Author: Catherine O'Kane,Duane O'Kane

Publisher: N.A

ISBN: 9780995803503

Category:

Page: N.A

View: 6243

Stop pursuing happiness and discover the joy of being fully alive through authentic, vulnerable connection. This inspirational, life-changing book reveals how most of our struggles in life are relationship struggles. Depression, anxiety, mental and physical illness, low self-esteem, high divorce rates, and all the myriad ways we explain our pain are more a result of lack of real relationships. We don't know how to connect, and the ways we go about attempting to do so often contribute to the problem. We hide, pretend and defend instead of being real. Connection is the doorway to being fully alive, and it is only one vulnerable step away in any given moment. In this book, Duane and Catherine take the reader through an intimate journey using exercises and examples from their personal and professional lives. Practical tools are shared, including 5 skills of emotional responsibility, and the 4 step 'getting real' process to correct the self-limiting beliefs and feelings that are at the root of our relationship dilemmas. This book provides a road map back to a fully connected life for all of those who have suffered in isolation.

Evolution, Learning and Cognition

Author: Yee Chun Lee

Publisher: World Scientific

ISBN: 9789971505301

Category: Science

Page: 411

View: 9505

This review volume represents the first attempt to provide a comprehensive overview of this exciting and rapidly evolving development. The book comprises specially commissioned articles by leading researchers in the areas of neural networks and connectionist systems, classifier systems, adaptive network systems, genetic algorithm, cellular automata, artificial immune systems, evolutionary genetics, cognitive science, optical computing, combinatorial optimization, and cybernetics.

The Ten Types of Human

A New Understanding of Who We Are, and Who We Can Be

Author: Dexter Dias

Publisher: Random House

ISBN: 1473519373

Category: Psychology

Page: 848

View: 2092

‘This book is the one. Think Sapiens and triple it.’ – Julia Hobsbawm, author of Fully Connected We all have ten types of human in our head. They’re the people we become when we face life’s most difficult decisions. We want to believe there are things we would always do – or things we never would. But how can we be sure? What are our limits? Do we have limits? The Ten Types of Human is a pioneering examination of human nature. It looks at the best and worst that human beings are capable of, and asks why. It explores the frontiers of the human experience, uncovering the forces that shape our thoughts and actions in extreme situations. From courtrooms to civil wars, from Columbus to child soldiers, Dexter Dias takes us on a globe-spanning journey in search of answers, touching on the lives of some truly exceptional people. Combining cutting-edge neuroscience, social psychology and human rights research, The Ten Types of Human is a provocative map to our hidden selves. It provides a new understanding of who we are – and who we can be. ‘I emerged from this book feeling better about almost everything... a mosaic of faces building into this extraordinary portrait of our species.’ – Guardian ‘The Ten Types of Human is a fantastic piece of non-fiction, mixing astonishing real-life cases with the latest scientific research to provide a guide to who we really are. It’s inspiring and essential.’ – Charles Duhigg ‘Uplifting and indispensable.’ – Howard Cunnell What readers are saying about 'the most important book in years': ‘utterly compelling...this one comes with a warning – only pick it up if you can risk not putting it down’ – Wendy Heydorn on Amazon, 5 stars ‘one of the most remarkable books I've read... I can genuinely say that it has changed the way I view the world’ – David Jones on Amazon, 5 stars ‘Essential reading for anyone wishing to understand the human condition... a thrilling and beautifully crafted book’ – Wasim on Amazon, 5 stars ‘This is the most important book I have read in years’ – Natasha Geary on Amazon, 5 stars ‘an important and fascinating read... It will keep you glued to the page’ – Hilary Burrage on Amazon, 5 stars ‘a journey that I will never forget, will always be grateful for, and I hope will help me question who I am... a work of genius’ – Louise on Amazon, 5 stars ‘This is a magnificent book that will capture the interest of every type of reader... one of those rare and special books that demand rereading’ – Amelia on Amazon, 5 stars ‘I simply couldn’t put it down... one of the most significant books of our time’ – Jocelyne Quennell on Amazon, 5 stars ‘Read The Ten Types of Human and be prepared to fall in love’ – Helen Fospero on Amazon, 5 stars

Deep Learning for Computer Vision

Expert techniques to train advanced neural networks using TensorFlow and Keras

Author: rajalingappaa shanmugamani

Publisher: Packt Publishing Ltd

ISBN: 1788293355

Category: Computers

Page: 310

View: 875

Learn how to model and train advanced neural networks to implement a variety of Computer Vision tasks Key Features Train different kinds of deep learning model from scratch to solve specific problems in Computer Vision Combine the power of Python, Keras, and TensorFlow to build deep learning models for object detection, image classification, similarity learning, image captioning, and more Includes tips on optimizing and improving the performance of your models under various constraints Book Description Deep learning has shown its power in several application areas of Artificial Intelligence, especially in Computer Vision. Computer Vision is the science of understanding and manipulating images, and finds enormous applications in the areas of robotics, automation, and so on. This book will also show you, with practical examples, how to develop Computer Vision applications by leveraging the power of deep learning. In this book, you will learn different techniques related to object classification, object detection, image segmentation, captioning, image generation, face analysis, and more. You will also explore their applications using popular Python libraries such as TensorFlow and Keras. This book will help you master state-of-the-art, deep learning algorithms and their implementation. What you will learn Set up an environment for deep learning with Python, TensorFlow, and Keras Define and train a model for image and video classification Use features from a pre-trained Convolutional Neural Network model for image retrieval Understand and implement object detection using the real-world Pedestrian Detection scenario Learn about various problems in image captioning and how to overcome them by training images and text together Implement similarity matching and train a model for face recognition Understand the concept of generative models and use them for image generation Deploy your deep learning models and optimize them for high performance Who this book is for This book is targeted at data scientists and Computer Vision practitioners who wish to apply the concepts of Deep Learning to overcome any problem related to Computer Vision. A basic knowledge of programming in Python—and some understanding of machine learning concepts—is required to get the best out of this book.

Social

Why Our Brains Are Wired to Connect

Author: Matthew D. Lieberman

Publisher: Crown

ISBN: 0307889114

Category: Psychology

Page: 384

View: 4869

We are profoundly social creatures--more than we know. In Social, renowned psychologist Matthew Lieberman explores groundbreaking research in social neuroscience revealing that our need to connect with other people is even more fundamental, more basic, than our need for food or shelter. Because of this, our brain uses its spare time to learn about the social world--other people and our relation to them. It is believed that we must commit 10,000 hours to master a skill. According to Lieberman, each of us has spent 10,000 hours learning to make sense of people and groups by the time we are ten. Social argues that our need to reach out to and connect with others is a primary driver behind our behavior. We believe that pain and pleasure alone guide our actions. Yet, new research using fMRI--including a great deal of original research conducted by Lieberman and his UCLA lab--shows that our brains react to social pain and pleasure in much the same way as they do to physical pain and pleasure. Fortunately, the brain has evolved sophisticated mechanisms for securing our place in the social world. We have a unique ability to read other people’s minds, to figure out their hopes, fears, and motivations, allowing us to effectively coordinate our lives with one another. And our most private sense of who we are is intimately linked to the important people and groups in our lives. This wiring often leads us to restrain our selfish impulses for the greater good. These mechanisms lead to behavior that might seem irrational, but is really just the result of our deep social wiring and necessary for our success as a species. Based on the latest cutting edge research, the findings in Social have important real-world implications. Our schools and businesses, for example, attempt to minimalize social distractions. But this is exactly the wrong thing to do to encourage engagement and learning, and literally shuts down the social brain, leaving powerful neuro-cognitive resources untapped. The insights revealed in this pioneering book suggest ways to improve learning in schools, make the workplace more productive, and improve our overall well-being.

The Entrepreneurial Group

Social Identities, Relations, and Collective Action

Author: Martin Ruef

Publisher: Princeton University Press

ISBN: 9781400835201

Category: Business & Economics

Page: 312

View: 2938

Recent surveys show that more than half of American entrepreneurs share ownership in their business startups rather than going it alone. Yet the media and many scholars continue to perpetuate the myth of the lone visionary who single-handedly revolutionizes the marketplace. In The Entrepreneurial Group, Martin Ruef shatters this myth, demonstrating that teams, not individuals, are the leading force behind entrepreneurial startups. This is the first book to provide an in-depth sociological analysis of entrepreneurial groups, and to put forward a theoretical framework for understanding activities and outcomes within them.