{"product_id":"artificial-intelligence-technologies-applications-and-challenges","title":"Artificial Intelligence Technologies, Applications, and Challenges","description":"\u003cp\u003eIn this review of Artificial Intelligence: Technologies, Applications, and Challenges, the authors Lavanya Sharma and Pradeep Kumar Garg present a practical, application-focused guide for readers who want to understand how modern AI tools are used across real-world domains. The single biggest reason to buy this book is its breadth of case studies: from robotic surgery to intelligent traffic monitoring, the book consistently connects foundational concepts to current and emerging uses. This review looks at who benefits most from the book and what its main strengths and limitations are.\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eComprehensive application coverage:\u003c\/strong\u003e The book outlines many real-world applications such as object detection, augmented reality, and medical imaging so readers can see how AI is deployed across domains.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTechnology-context focus:\u003c\/strong\u003e Chapters link core technologies to their applied uses, helping practitioners understand the tools behind systems like robotic surgery and character recognition.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePractical examples:\u003c\/strong\u003e Present and future application scenarios, including indoor-outdoor security and intelligent traffic monitoring, offer practical contexts for experimentation and learning.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eInterdisciplinary scope:\u003c\/strong\u003e Topics range from graphic signal processing to IoT communications, which benefits readers seeking cross-disciplinary insight into AI systems.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProblem-oriented discussion:\u003c\/strong\u003e The authors address challenges in deployment, enabling readers to appreciate limitations and realistic implementation considerations.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eWho It's For\u003c\/h2\u003e\u003cp\u003eThe book is best suited to graduate students, early-career engineers, and technical managers who need a broad, applied view of artificial intelligence across multiple domains; it helps readers move from theoretical concepts to implementation thinking. It also works well as a course supplement for computer science modules that emphasize applied AI and systems integration.\u003c\/p\u003e\u003cp\u003eReaders seeking a hands-on programming tutorial or a deeply mathematical treatment of machine learning theory should look elsewhere, as the focus here is on applications, technologies, and practical challenges rather than step-by-step code or heavy theorem-proof exposition.\u003c\/p\u003e\u003ch2\u003ePros \u0026amp; Cons\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003ePros\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eWide range of application case studies that make it easy to see practical uses of AI systems.\u003c\/li\u003e\n\u003cli\u003eClear linkage between technologies and deployment contexts, useful for implementation planning.\u003c\/li\u003e\n\u003cli\u003eCoverage of both present and future applications helps readers anticipate where the field is headed.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eCons\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\u003cli\u003eThe book is not a coding workbook or reference for low-level algorithm derivations, so readers wanting detailed mathematical proofs or source code may need supplementary materials.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eTitle\u003c\/td\u003e\n\u003ctd\u003eArtificial Intelligence: Technologies, Applications, and Challenges\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAuthors\u003c\/td\u003e\n\u003ctd\u003eLavanya Sharma, Pradeep Kumar Garg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFocus areas\u003c\/td\u003e\n\u003ctd\u003eApplications such as robotic surgery, image processing, object detection\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eApplication examples\u003c\/td\u003e\n\u003ctd\u003eIndoor-outdoor security, intelligent traffic monitoring, augmented reality\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTopics covered\u003c\/td\u003e\n\u003ctd\u003eGraphic signal processing, character recognition, IoT communications\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAudience\u003c\/td\u003e\n\u003ctd\u003eStudents, engineers, technical managers\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch2\u003eOur Verdict\u003c\/h2\u003e\u003cp\u003eArtificial Intelligence: Technologies, Applications, and Challenges is a solid, applied overview that delivers strong value for readers who want practical case studies and technology context rather than implementation code. For its intended audience of students and practitioners seeking to connect AI concepts with real systems, it is a useful reference that balances breadth and application-focused insight.\u003c\/p\u003e\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eDoes this book include programming examples?\u003c\/strong\u003e\u003cbr\u003eAnswer. The book emphasizes applications and technologies and does not serve as a hands-on programming manual with extensive code listings.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhich application domains are emphasized?\u003c\/strong\u003e\u003cbr\u003eAnswer. The authors focus on domains like robotic surgery, medical imaging, intelligent traffic monitoring, augmented reality, and security systems.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eIs this suitable for beginners?\u003c\/strong\u003e\u003cbr\u003eAnswer. It is appropriate for readers with some technical background such as students or engineers; absolute beginners without prior exposure to computing concepts may find the scope broad.\u003c\/p\u003e","brand":"Lavanya Sharma, Pradeep Kumar Garg","offers":[{"title":"Default Title","offer_id":48148362166491,"sku":"0367690802","price":126.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0724\/1043\/1707\/files\/8156EDXaHhL._SL1500.jpg?v=1768432015","url":"https:\/\/gearmusthave.com\/products\/artificial-intelligence-technologies-applications-and-challenges","provider":"GearMustHave","version":"1.0","type":"link"}