Recognize market opportunities, master the design process, and develop business acumen with this 'how-to' guide to medical technology innovation. Outlining a systematic, proven approach for innovation - identify, invent, implement - and integrating medical, engineering, and business challenges with real-world case studies, this book provides a practical guide for students and professionals.

Biodesign in the Age of Artificial Intelligence: Deep Green investigates the potential of nature-based technology for shaping the evolution of contemporary architecture and design. It takes on the now pervasive topic of design intelligence, extending its definition to encompass both biological and digital realms. As in their first title, Systemic Architecture: Operating Manual for the Self-Organizing City, the authors engage the topic through the specific lens of their innovative design practice, ecoLogicStudio, and their research at the University of Innsbruck and at the Bartlett, UCL. Part One of the book, entitled PhotoSyntheticaTM, illustrates design solutions that engage the urban microbiome and seek to achieve an immediate impact, while Part Two, entitled Deep Green, includes synthetic landscapes and operates within a much larger spatio-temporal frame, going beyond human perception and life span to envision design as a geographical and geological force. In the age of catastrophic climate change, such perceptual expansion helps to clarify that change cannot simply be stopped or rolled back. We must instead establish more positive dynamics of change within the living world. To this end, this book proposes to engage with design and architecture as an extended cognitive interface, a sentient being that is co-evolutionary and symbiotic with the living planet, contributing to its beauty and to our continued enjoyment of it.

Bioluminescent algae, symbiotic aquariums, self-healing concrete, clavicle wind instruments and structures made from living trees - biology applied outside the lab has never been so intriguing, or so beautiful. Bio Design examines the thrilling advances in the field, showcasing some seventy projects (concepts, prototypes and completed designs) that cover a range of fields - from architecture and industrial design to fashion and medicine. The revised and expanded edition features twelve new projects (replacing ten existing projects): Hy-Fi (by David Benjamin); One Central Park, Sydney (Jean Nouvel); Guard from Above (Sjoerd Hoogendoorn); Cell-laden Hydrogels for Biocatalysis (Alshakim Nelson); Zoa (Modern Meadow); Amino Labs (Julie Legault); Algae and Mycelium Projects (Eric Klarenbeek); Interwoven and Harvest (Diane Scherer); Concrete Honey (John Becker); Bistro In Vitro (Koert van Mensvoort); Circumventive Organs (Agi Haines); Quantworm Mine (Liv Bargman and Nina Cutler). It also includes a new 'how-to' section at the end (Tips for Collaboration/FAQs/Further Resources), as well as a fully revised introduction.

Low-temperature stress is the primary abiotic stress that affects the growth and development of plants and their geographical distribution. This can lead to the solidification of membrane lipids and decrease of enzymatic reaction rate in plants in a relatively short time, or indirectly affect the imbalance of respiration and photosynthesis, accumulation of toxic substances, ATP depletion, cell solute leakage and wilting due to water loss. Low-temperature stress can be divided into chilling stress and freezing stress according to the damage caused to plants. Both chilling and freezing stress drastically threaten global food security and species diversity in the northern and frigid temperate zones. Once plants experience low-temperature stress, the regulation mechanism of gene expression is rapidly activated to cope with the adverse environment.

Emotions, creativity, aesthetics, artistic behavior, divergent thoughts, and curiosity are both fundamental to the human experience and instrumental in the development of human-centered artificial intelligence systems that can relate, communicate, and understand human motivations, desires, and needs. In this book the editors put forward two core propositions: creative artistic behavior is one of the key challenges of artificial intelligence research, and computer-assisted creativity and human-centered artificial intelligence systems are the driving forces for research in this area. The invited chapters examine computational creativity and more specifically systems that exhibit artistic behavior or can improve humans' creative and artistic abilities. The authors synthesize and reflect on current trends, identify core challenges and opportunities, and present novel contributions and applications in domains such as the visual arts, music, 3D environments, and games. The book will be valuable for researchers, creatives, and others engaged with the relationship between artificial intelligence and the arts.

Artificial intelligence (AI), machine learning, and advanced electronic circuits involve learning from every data input and using those inputs to generate new rules for future business analytics. AI and machine learning are now giving us new opportunities to use big data that we already had, as well as unleash a whole lot of new use cases with new data types. With the increasing use of AI dealing with highly sensitive information such as healthcare, adequate security measures are required to securely store and transmit this information. This book provides a broader coverage of the basic aspects of advanced circuits design and applications. AI for Big Data-Based Engineering Applications from Security Perspectives is an integrated source that aims at understanding the basic concepts associated with the security of advanced circuits. The content includes theoretical frameworks and recent empirical findings in the field to understand the associated principles, key challenges, and recent real-time applications of advanced circuits, AI, and big data security. It illustrates the notions, models, and terminologies that are widely used in the area of Very Large Scale Integration (VLSI) circuits, security, identifies the existing security issues in the field, and evaluates the underlying factors that influence system security. This work emphasizes the idea of understanding the motivation behind advanced circuit design to establish the AI interface and to mitigate security attacks in a better way for big data. This book also outlines exciting areas of future research where already existing methodologies can be implemented. This material is suitable for students, researchers, and professionals with research interest in AI for big data–based engineering applications, faculty members across universities, and software developers.