What You Need to Know about Machine Learning, Robotics, Deep Learning, Recommender Systems, Internet of Things, Neural Networks, Reinforcement Learning, and Our Future
What You Need to Know about Machine Learning, Robotics, Deep Learning, Recommender Systems, Internet of Things, Neural Networks, Reinforcement Learning, and Our Future
Are you confused about what all the rage behind artificial intelligence is and would like to learn more? This book covers everything from machine learning to robotics and the internet of things. You can use it as a nifty guidebook whenever you come across news headlines that talk about some new advancement in AI by Google or Facebook. By the time you finish reading, you will be aware of what artificial neural networks are, how gradient descent and back propagation work, and what deep learning is. You will also learn a comprehensive history of AI, from the first invention of automations in antiquity to the driver-less cars of today. Here's just a tiny fraction of what you'll discover: Understand how machines can "think" and how they learn Learn the five reasons why experts are warning us about AI research Find the answers to the top six myths of artificial intelligence Learn what neural networks are and how they work, the "brains" of machine learning Understand reinforcement learning and how it is used to teach machine learning systems through experience Become up-to-date with the current state-of-the-art artificial intelligence methods that use deep learning Learn the basics of recommender systems Expand your current view of machines and what is possible with modern robotics Enter the vast world of the internet of things technologies Find out why AI is the new business degree And much, much more! If you want to learn more about artificial intelligence, then scroll up and click "add to cart"!
In recent years, interest and progress in the area of artificial intelligence (AI) and machine learning (ML) have boomed, with new applications vigorously pursued across many sectors. At the same time, the computing and communications technologies on which we have come to rely present serious security concerns: cyberattacks have escalated in number, frequency, and impact, drawing increased attention to the vulnerabilities of cyber systems and the need to increase their security. In the face of this changing landscape, there is significant concern and interest among policymakers, security practitioners, technologists, researchers, and the public about the potential implications of AI and ML for cybersecurity. The National Academies of Sciences, Engineering, and Medicine convened a workshop on March 12-13, 2019 to discuss and explore these concerns. This publication summarizes the presentations and discussions from the workshop.
The focus of this report is on artificial intelligence (AI) and human-computer interface (HCI) technology. Observations, conclusions, and recommendations regarding AI and HCI are presented in terms of six grand challenge areas which serve to identify key scientific and engineering issues and opportunities. Chapter 1 presents the panel's definitions of these and related terms. Chapter 2 presents the panel's general observations and recommendations regarding AI and HCI. Finally, Chapter 3 discusses computer science, AI, and HCI in terms of the six selected "grand challenge" areas and three time horizons, that is, short term (within the next 2 years), midterm (2 to 6 years), and long term (more than 6 years from now) and presents additional recommendations in these areas.
In recent years, interest and progress in the area of artificial intelligence (AI) and machine learning (ML) have boomed, with new applications vigorously pursued across many sectors. At the same time, the computing and communications technologies on which we have come to rely present serious security concerns: cyberattacks have escalated in number, frequency, and impact, drawing increased attention to the vulnerabilities of cyber systems and the need to increase their security. In the face of this changing landscape, there is significant concern and interest among policymakers, security practitioners, technologists, researchers, and the public about the potential implications of AI and ML for cybersecurity. The National Academies of Sciences, Engineering, and Medicine convened a workshop on March 12-13, 2019 to discuss and explore these concerns. This publication summarizes the presentations and discussions from the workshop.
The Final Report on AI 2021, released by the National Security Commission on Artificial Intelligence is an extensive report outlining the AI landscape between the US and other AI-enabled nations.
In an increasingly interconnected world, perhaps it should come as no surprise that international collaboration in science and technology research is growing at a remarkable rate. As science and technology capabilities grow around the world, U.S.-based organizations are finding that international collaborations and partnerships provide unique opportunities to enhance research and training. International research agreements can serve many purposes, but data are always involved in these collaborations. The kinds of data in play within international research agreements varies widely and may range from financial and consumer data, to Earth and space data, to population behavior and health data, to specific project-generated dataâ€"this is just a narrow set of examples of research data but illustrates the breadth of possibilities. The uses of these data are various and require accounting for the effects of data access, use, and sharing on many different parties. Cultural, legal, policy, and technical concerns are also important determinants of what can be done in the realms of maintaining privacy, confidentiality, and security, and ethics is a lens through which the issues of data, data sharing, and research agreements can be viewed as well. A workshop held on March 14-16, 2018, in Washington, DC explored the changing opportunities and risks of data management and use across disciplinary domains. The third workshop in a series, participants gathered to examine advisory principles for consideration when developing international research agreements, in the pursuit of highlighting promising practices for sustaining and enabling international research collaborations at the highest ethical level possible. The intent of the workshop was to explore, through an ethical lens, the changing opportunities and risks associated with data management and use across disciplinary domainsâ€"all within the context of international research agreements. This publication summarizes the presentations and discussions from the workshop.
The 2012 National Research Council report Continuing Innovation in Information Technology illustrates how fundamental research in information technology (IT), conducted at industry and universities, has led to the introduction of entirely new product categories that ultimately became billion-dollar industries. The central graphic from that report portrays and connects areas of major investment in basic research, university-based research, and industry research and development; the introduction of important commercial products resulting from this research; billion-dollar-plus industries stemming from it; and present-day IT market segments and representative U.S. firms whose creation was stimulated by the decades-long research. At a workshop hosted by the Computer Science and Telecommunications Board on March 5, 2015, leading academic and industry researchers and industrial technologists described key research and development results and their contributions and connections to new IT products and industries, and illustrated these developments as overlays to the 2012 "tire tracks" graphic. The principal goal of the workshop was to collect and make available to policy makers and members of the IT community first-person narratives that illustrate the link between government investments in academic and industry research to the ultimate creation of new IT industries. This report provides summaries of the workshop presentations organized into five broad themes - (1) fueling the innovation pipeline, (2) building a connected world, (3) advancing the hardware foundation, (4) developing smart machines, and (5) people and computers - and ends with a summary of remarks from the concluding panel discussion.
As is tradition this Global Voice magazine summer issue brings together the talented winning, runner-up and finalist student articles in the CoBS 2022 student CSR article competition – now, the fifth year – to sit side-by-side with insights gleaned from the published research of our professors from the now eight member schools of this alliance dedicated to responsible leadership education. No time to waste! Welcome to this special summer solstice issue of Global Voice magazine #22 and delighted to publish this special issue of the Council on Business & Society quarterly magazine for your reading and download. We’re honoured to kick off the magazine with Prof. Adrian Zicari, ESSEC Business School-CoBS, co-authoring the editorial with special guest Camille Putois, CEO of the B4IG (Business For Inclusive Growth) initiative that brings together leading global companies, subject matter experts and academia to work on strategies to develop future business for the good of the widest number of citizens and the planet. We also feature a special spotlight on Prof. Mark Smith, Dean of Stellenbosch Business School, South Africa – Africa’s leading higher education institution and the latest member school of the CoBS alliance. A focal point of the highest importance in the coming years, Mark outlines the stakes at hand for the continent and the need for education to play an essential role in promoting diversity, responsible leadership and responsible business practices. In this issue, a host of insights and research-based content hosted in two sections: Business, Society and Planet. In Business, Society the contributors tackle the impact of Artificial Intelligence on the workplace, wellbeing and society; coopetition and how business rivals can become allies for a better world; the impact of political populism on climate action; how to deal with negative workplace emotions and aim at the positive; the role of business schools in building back better; and the phenomenon of presenteeism in companies that ultimately leads to poorer performance for firms – and poorer health for its employees. In the Planet section, you’ll find insights on how corporations can become more sustainable; an exploration of greenflation and the challenges facing our transition to a green economy; the stock exchange and building corporate value for potential investors through CSR; a spotlight on the ground-breaking ISE sustainability index in Brazil by one of its founders, Prof. Mario Monzoni; how to cope with the barriers in the way of reaching Net-Zero; and practitioner insight from ESG consulting firm Ksapa on designing solutions for resilient raw materials supply. In addition, our CoBS design team provides its usual beautiful graphics and our latest wry take on modern times with our opening double-page cartoon. And if you wish to apply for one or several of the top-ranked degree programmes offered by our CoBS member schools, outlines of these and contact details can be found throughout the magazine. Apply now – and positively change both your life and those of others! Do what you have to do And finally, a word on the latest Global Voice magazine front cover and its accompanying subtitle. For some of us, the strawberry may be associated with June and the long summer months – succulent, sun-drenched and tasty. This time, this gift of nature looks in a pretty bad way. “Food”, as it were, “for thought” in today’s chaotic context of supplies of essential necessities and the probable food risks for the wider world that conflict and intolerance in Europe may bring us. So interpret the cover wisely – and do what you have to do. No time to waste! Enjoy your reading! Tom Gamble, Council on Business & Society
The Earth system - the atmospheric, hydrologic, geologic, and biologic cycles that circulate energy, water, nutrients, and other trace substances - is a large, complex, multiscale system in space and time that involves human and natural system interactions. Machine learning (ML) and artificial intelligence (AI) offer opportunities to understand and predict this system. Researchers are actively exploring ways to use ML/AI approaches to advance scientific discovery, speed computation, and link scientific communities. To address the challenges and opportunities around using ML/AI to advance Earth system science, the National Academies convened a workshop in February 2022 that brought together Earth system experts, ML/AI researchers, social and behavioral scientists, ethicists, and decision makers to discuss approaches to improving understanding, analysis, modeling, and prediction. Participants also explored educational pathways, responsible and ethical use of these technologies, and opportunities to foster partnerships and knowledge exchange. This publication summarizes the workshop discussions and themes that emerged throughout the meeting.
Advances in artificial intelligence (AI) have the potential to transform the nature of scientific inquiry and lead to significant innovations in engineering. To date, AI has primarily been used alongside existing design and discovery practices to help researchers analyze or interpret data, e.g., predict the structure of proteins, track insect biodiversity, etc. However, AI will play a much bigger role in design and discovery in the near future ― developing novel scientific hypotheses and experiments and creating new engineering design processes ― all with minimal human involvement. While AI has the potential to spur innovation and further scientific understanding beyond the limits of the human mind and abilities, it could also exacerbate inequities, perpetuate human biases, and even create new ones. Maximizing the benefits of AI and avoiding its pitfalls, will require addressing real and imminent challenges. Leaps and Boundaries explores the opportunities, challenges, and implications of deploying AI technologies to enable scientific and engineering research design and discovery in Canada.
This work reports on research into intelligent systems, models, and architectures for educational computing applications. It covers a wide range of advanced information and communication and computational methods applied to education and training.
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