Our book, Future of Tech Startups and Innovations in the Age of AI, mainly focuses on artificial intelligence (AI) tools, AI-based startups, AI-enabled innovations, Autonomous AI Agents (Auto-GPT), AI-based marketing startups, machine learning for organizations, AI-internet of things (IoT) for new tech companies, AI-enabled drones for agriculture industry, machine learning (ML)/deep learning (DL)-based drip farming, AI-based driverless cars, AI-based weather prediction startups, AI tools for personal branding, AI-based teaching, AI-based doctor/hospital startups, AI for game companies, AI-based finance tools, AI for human resource management, AI-powered management tools, AI tools for future pandemics, AI/ML-based transportation companies, AI for media, AI for carrier counseling, AI for customer care, AI for next generation businesses, and many more applications. AI tools and techniques will revolutionize startups all over the world. Entrepreneurs, engineers, and practitioners have already moved toward AI-based solutions to reshape businesses. AI/ML will create possibilities and opportunities for improving human lifestyles. AI-enabled startups will work on cost-effective solutions to solve difficult problems. Recently, many research companies are interested in providing solutions and investing a lot in AI-based startups. AI-driven products will revolutionize the "smart world." AI computing tech companies will help to model human speech recognition systems. Also, AI-based startups will focus on perception and reasoning of autonomous robotic systems. AI/ML-based tech startups will introduce smart online education systems for future pandemics.

More interestingly, people are also moving for online job opportunities and trying to work from home. Future innovation needs closer relations between academia and industry. Therefore, online platforms need to be introduced that will only focus on academia and industry linkage. Future AI tech-based startups will focus more on research and development to introduce novel products to the market. Accordingly, engineers and many other people should be trained on AI tools and techniques to introduce innovative solutions for the smart world. In addition, integration of many new technologies with AI will be made possible. AI with IoT, smart cities, unmanned aerial vehicles (UAVs), wireless sensor networks, software-defined networks, network management, vehicular ad hoc networks, flying ad hoc networks, wireless communication technologies, ML, reinforcement learning, federated learning and other mechanisms will introduce new technological products.

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Yes, you can access Future Tech Startups and Innovation in the Age of AI by Inam Ullah Khan,Hamed Taherdoost,Mitra Madanchian,Mariya Ouaissa,Salma El Hajjami,Hameedur Rahman in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Vision & Pattern Recognition. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Year

eBook ISBN

Topic

Subtopic

Computer Vision & Pattern Recognition

Index

Computer Science

Cover Page
Half-Title Page
Title Page
Copyright Page
Contents
Preface
Editor Biographies
List of Contributors
Chapter 1 Artificial Intelligence for Startups and Innovation
Chapter 2 Artificial Intelligence in Robotic Industry: Startups and Innovations
Chapter 3 The Role, Application, and Impact of Artificial Intelligence in the Agriculture Industry
Chapter 4 Role of AI in Agriculture Industry
Chapter 5 Role of AI in Agriculture: Types, Challenges, and PESTAL Analysis
Chapter 6 Investigating the Role of Artificial Intelligence in Enhancing Sports Performance and Health Outcomes for Individuals with Disabilities: A Structural Equation Modeling Approach
Chapter 7 AI in the Gaming Industry
Chapter 8 Beyond Text: Analyzing Artificial Intelligence Models through Prompt Engineering
Chapter 9 Integrating AI and Cloud for Smart Computing Applications in Grid Stations: Toward Transformative AI-Enabled Solutions
Chapter 10 Innovation Management in the Era of Artificial Intelligence
Chapter 11 Navigating the AI Era in Startup Business Development
Chapter 12 Cybersecurity Challenges and Strategies for Safe Artificial General Intelligence
Index

About this book

Frequently asked questions

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Table of contents