This book comprehensively reviews the factors that facilitate access and success of Black students in STEM majors in higher education, and it shares compelling testimonies from Black STEM professionals that will help inspire the next generation of Black scientists and engineers. Most experts agree that America's success depends on having a workforce that is highly prepared in STEM areas. Unfortunately, students of color continue to be underrepresented in higher education, and specifically, in completing degrees and entering careers within the STEM fields. This book supports African American students (as well as all students) who are interested in STEM careers, providing information on the top colleges with STEM-related programs, particularly those that best support racially diverse students; practical advice for preparing for entrance into STEM programs; and inspirational stories of successful African Americans in STEM-related careers. Authored by three educators expert in the areas of academic development of African Americans and minorities, STEM, and higher education, The African American Student's Guide to STEM Careers focuses on preparing Black students for STEM from K-12 through graduate school. Readers will more fully appreciate the importance of STEM, recognize why more Black students need to be more actively engaged in these disciplines, and understand how to prepare Black students for success in STEM throughout the educational pipeline. Addresses how African American students can plan and prepare for a career in STEM, choose a college and STEM program, pay for college, choose their major, continue to graduate school, and choose a career in STEM Discusses the importance of Black students being more engaged in STEM and identifies ways to prepare them for success in the STEM fields from K-12 to graduate school Highlights ways educators can formulate actionable plans to help increase the success of Black students in STEM Presents personal testimonies from professionals in STEM that will inspire the next generation of Black scientists and engineers

Adrian Daub’s What Tech Calls Thinking is a lively dismantling of the ideas that form the intellectual bedrock of Silicon Valley. Equally important to Silicon Valley’s world-altering innovation are the language and ideas it uses to explain and justify itself. And often, those fancy new ideas are simply old motifs playing dress-up in a hoodie. From the myth of dropping out to the war cry of “disruption,” Daub locates the Valley’s supposedly original, radical thinking in the ideas of Heidegger and Ayn Rand, the New Age Esalen Foundation in Big Sur, and American traditions from the tent revival to predestination. Written with verve and imagination, What Tech Calls Thinking is an intellectual refutation of Silicon Valley's ethos, pulling back the curtain on the self-aggrandizing myths the Valley tells about itself. FSG Originals × Logic dissects the way technology functions in everyday lives. The titans of Silicon Valley, for all their utopian imaginings, never really had our best interests at heart: recent threats to democracy, truth, privacy, and safety, as a result of tech’s reckless pursuit of progress, have shown as much. We present an alternate story, one that delights in capturing technology in all its contradictions and innovation, across borders and socioeconomic divisions, from history through the future, beyond platitudes and PR hype, and past doom and gloom. Our collaboration features four brief but provocative forays into the tech industry’s many worlds, and aspires to incite fresh conversations about technology focused on nuanced and accessible explorations of the emerging tools that reorganise and redefine life today.

Management and Engineering of Critical Infrastructures focuses on two important aspects of CIS, management and engineering. The book provides an ontological foundation for the models and methods needed to design a set of systems, networks and assets that are essential for a society's functioning, and for ensuring the security, safety and economy of a nation. Various examples in agriculture, the water supply, public health, transportation, security services, electricity generation, telecommunication, and financial services can be used to substantiate dangers. Disruptions of CIS can have serious cascading consequences that would stop society from functioning properly and result in loss of life. Malicious software (a.k.a., malware), for example, can disrupt the distribution of electricity across a region, which in turn can lead to the forced shutdown of communication, health and financial sectors. Subsequently, proper engineering and management are important to anticipate possible risks and threats and provide resilient CIS. Although the problem of CIS has been broadly acknowledged and discussed, to date, no unifying theory nor systematic design methods, techniques and tools exist for such CIS.

The advancement in FinTech especially artificial intelligence (AI) and machine learning (ML), has significantly affected the way financial services are offered and adopted today. Important financial decisions such as investment decision making, macroeconomic analysis, and credit evaluation are getting more complex in the field of finance. ML is used in many financial companies which are making a significant impact on financial services. With the increasing complexity of financial transaction processes, ML can reduce operational costs through process automation which can automate repetitive tasks and increase productivity. Among others, ML can analyze large volumes of historical data and make better trading decisions to increase revenue. This book provides an exhaustive overview of the roles of AI and ML algorithms in financial sectors with special reference to complex financial applications such as financial risk management in a big data environment. In addition, it provides a collection of high-quality research works that address broad challenges in both theoretical and application aspects of AI in the field of finance.

Diagnostic Biomedical Signal and Image Processing Applications: With Deep Learning Methods presents comprehensive research on both medical imaging and medical signals analysis. The book discusses classification, segmentation, detection, tracking and retrieval applications of non-invasive methods such as EEG, ECG, EMG, MRI, fMRI, CT and X-RAY, amongst others. These image and signal modalities include real challenges, which are the main themes that medical imaging and medical signal processing researchers focus on today. The book also emphasizes removing noise and specifying dataset key properties, with each chapter containing details of one of the medical imaging or medical signal modalities. Focusing on solving real medical problems using new deep learning and CNN approaches, this book will appeal to research scholars, graduate students, faculty members, R&D engineers, and biomedical engineers who want to learn how medical signals and images play an important role in the early diagnosis and treatment of diseases.

Exploring how changes in advanced technology deeply affect international politics, this book theoretically engages with the overriding relevance of investments in technological research, and the ways in which they directly foster a country's economic and military standing. Scholars and practitioners present important insights on the technical and social issues at the core of technology competition. Technology and International Relations emphasizes the importance of leadership styles, domestic political agendas and the relative weight of technologically driven countries in global affairs. It highlights the now widely shared belief among both developed and developing countries that technology will be the defining factor in international politics. The book also unpacks the complexity of real-life cases of key technological advances, including artificial intelligence, UAVs, satellites and the responses of governments and the private sector to rising technological challenges. This will be an important read for scholars of political science, international relations and international political economy, particularly those looking at the impact of technology and innovation.

Reachable Sets of Dynamic Systems: Uncertainty, Sensitivity, and Complex Dynamics introduces differential inclusions, providing an overview as well as multiple examples of its interdisciplinary applications. The design of dynamic systems of any type is an important issue as is the influence of uncertainty in model parameters and model sensitivity. The possibility of calculating the reachable sets may be a powerful additional tool in such tasks. This book can help graduate students, researchers, and engineers working in the field of computer simulation and model building, in the calculation of reachable sets of dynamic models.

Intelligent Edge Computing for Cyber Physical Applications introduces state-of-the-art research methodologies, tools and techniques, challenges, and solutions with further research opportunities in the area of edge-based cyber-physical systems. The book presents a comprehensive review of recent literature and analysis of different techniques for building edge-based CPS. In addition, it describes how edge-based CPS can be built to seamlessly interact with physical machines for optimal performance, covering various aspects of edge computing architectures for dynamic resource provisioning, mobile edge computing, energy saving scenarios, and different security issues. Sections feature practical use cases of edge-computing which will help readers understand the workings of edge-based systems in detail, taking into account the need to present intellectual challenges while appealing to a broad readership, including academic researchers, practicing engineers and managers, and graduate students.

Urban and Regional Agriculture: Building Resilient Food Systems explores the sustainable integration of food provision, distribution and consumption through urban farms, agricultural systems, user communities and structural facilities designed to optimize food production and consumption. The book addresses the fundamental and pressing challenges of urban planning problems, waste minimization, food sourcing, access and equity issues, and multiple land use optimization. Sections cover the need and opportunities of urban agriculture, discuss tradition and transition, space and regulatory topics, explore the range of urban agriculture options (aquaculture to urban permaculture), discuss support structures and constructs of physically creating urban agricultural areas, and much more. Edited and authored by leading experts in the field, this volume will be valuable for those working to address issues of food security in urban environments.