Advertisement
AI in Sports Training: Revolutionizing Athletic Performance and Recovery
Author: Dr. Evelyn Reed, PhD, Professor of Sports Science and Artificial Intelligence at the University of California, Berkeley. Dr. Reed has over 20 years of experience in sports science research and has published extensively on the application of AI in athletic performance enhancement.
Keywords: AI in sports training, artificial intelligence in sports, sports analytics, athlete performance, AI-powered training, machine learning in sports, sports technology, data-driven training, personalized training, injury prevention
Abstract: This article explores the transformative potential of AI in sports training, examining both the exciting opportunities and the significant challenges associated with its implementation. We will delve into specific applications of AI, including performance analysis, injury prevention, personalized training plans, and talent identification. The ethical considerations and practical limitations of this rapidly evolving field will also be discussed.
Introduction:
The integration of artificial intelligence (AI) in sports training is rapidly reshaping the athletic landscape. No longer a futuristic concept, AI-powered tools are already assisting coaches and athletes in optimizing performance, preventing injuries, and personalizing training regimens. From analyzing vast datasets of player movements to predicting potential injuries, AI in sports training offers unprecedented opportunities to push the boundaries of human athletic capability. However, the implementation of AI also presents significant challenges, including data privacy concerns, ethical dilemmas, and the need for substantial investment in both technology and expertise. This article will provide a comprehensive overview of the current state of AI in sports training, exploring both the remarkable potential and the hurdles that need to be overcome.
1. AI-Powered Performance Analysis:
One of the most prominent applications of AI in sports training is performance analysis. Traditional methods of analysis often involve manual observation and subjective assessment, which can be time-consuming and prone to bias. AI, specifically computer vision and machine learning, can analyze video footage and sensor data to provide objective and detailed insights into an athlete's performance. This includes identifying subtle technical flaws, quantifying movement efficiency, and tracking physiological metrics such as speed, power, and acceleration. AI in sports training, in this context, enables coaches to provide more targeted feedback, leading to more effective training interventions and improved performance.
2. Injury Prevention Through AI:
AI's predictive capabilities are proving invaluable in injury prevention. By analyzing data from wearable sensors, medical history, and training loads, AI algorithms can identify athletes at increased risk of injury. This allows coaches and medical staff to implement preventative measures, such as adjusting training schedules or modifying exercises, to minimize the risk of injury. AI in sports training can also help in the early detection of injuries, enabling prompt intervention and faster recovery times.
3. Personalized Training Plans with AI:
The one-size-fits-all approach to training is becoming obsolete. AI allows for the creation of personalized training plans tailored to an individual athlete's strengths, weaknesses, and goals. By analyzing an athlete's performance data, AI algorithms can optimize training programs, adjusting intensity, volume, and exercise selection based on real-time feedback. This personalized approach maximizes training efficiency, improves performance gains, and minimizes the risk of overtraining. AI in sports training here promises a revolution in training methodologies.
4. Talent Identification and Scouting:
AI is also making inroads in talent identification and scouting. AI algorithms can analyze player statistics, game footage, and even social media data to identify promising young athletes. This allows scouting teams to focus their resources on the most promising prospects, improving the efficiency and effectiveness of the talent acquisition process. AI in sports training plays a role even before formal training begins.
5. Challenges and Limitations of AI in Sports Training:
While the potential of AI in sports training is immense, it's crucial to acknowledge the existing challenges. Data privacy and security are major concerns, especially with the increasing use of wearable sensors and other data-collecting devices. The ethical implications of using AI to manipulate athletes' performance also need careful consideration. Furthermore, the cost of implementing AI technology and the need for specialized expertise can pose barriers for smaller organizations and teams. Finally, the "black box" nature of some AI algorithms can make it difficult to understand how they arrive at their conclusions, potentially undermining trust and hindering their adoption.
6. The Future of AI in Sports Training:
The future of AI in sports training is bright. As AI algorithms become more sophisticated and data collection techniques improve, we can expect even more significant advancements in performance analysis, injury prevention, personalized training, and talent identification. The integration of AI with other emerging technologies, such as virtual reality and augmented reality, will further enhance its capabilities. However, it is crucial to address the ethical and practical challenges to ensure responsible and equitable adoption of AI in sports training.
Conclusion:
AI in sports training is no longer a niche technology; it's rapidly becoming an essential tool for coaches, athletes, and organizations striving for competitive advantage. The opportunities are substantial, with AI offering the potential to significantly improve athletic performance, prevent injuries, and personalize training regimens. However, careful consideration must be given to the ethical, practical, and security challenges. By addressing these concerns and embracing responsible innovation, we can harness the full potential of AI to revolutionize the world of sports training and elevate athletic achievement to new heights.
FAQs:
1. What types of data are used in AI-powered sports training? A wide range of data is utilized, including video footage, wearable sensor data (GPS, heart rate, accelerometers), physiological data (blood tests, etc.), and player statistics.
2. How accurate are AI predictions of injuries? Accuracy varies depending on the quality and quantity of data used, as well as the sophistication of the AI algorithm. However, AI systems are consistently demonstrating improved accuracy over traditional methods.
3. What are the ethical concerns related to AI in sports training? Concerns include data privacy, algorithmic bias, potential for performance manipulation, and the potential displacement of human coaches.
4. Is AI in sports training only for elite athletes? While currently more prevalent at the elite level, AI-powered tools are increasingly becoming accessible to athletes of all levels.
5. What is the cost of implementing AI in sports training? Costs vary greatly depending on the specific technology and services utilized, ranging from relatively inexpensive software to more expensive custom solutions.
6. What skills are needed to work with AI in sports training? A combination of skills is required, including data analysis, sports science expertise, AI programming, and coaching experience.
7. How can coaches best integrate AI into their training programs? A phased approach is recommended, starting with simpler AI tools and gradually integrating more complex systems as expertise develops.
8. What are the limitations of AI in sports training? Limitations include data availability, algorithm complexity, potential for biases in data, and the need for human oversight.
9. How can we ensure responsible AI use in sports training? Responsible AI use requires clear ethical guidelines, transparency in algorithms, data security measures, and ongoing monitoring and evaluation.
Related Articles:
1. "The Impact of Machine Learning on Athlete Performance": This article explores the various ways machine learning algorithms are being used to analyze athlete data and optimize training strategies.
2. "AI-Powered Injury Prediction in Professional Soccer": This case study examines the use of AI to predict injuries in professional soccer players and the effectiveness of preventative measures.
3. "Personalized Training Plans: The Role of AI in Optimizing Athlete Development": This article delves into the benefits of personalized training plans generated by AI and their impact on individual athlete progress.
4. "Ethical Considerations in the Use of AI in Sports": This paper discusses the ethical dilemmas arising from the application of AI in sports, focusing on fairness, transparency, and privacy.
5. "The Future of Scouting: How AI is Transforming Talent Acquisition in Sports": This article explores the impact of AI on talent scouting, examining how it is being used to identify and recruit promising young athletes.
6. "AI-Driven Performance Analysis in Basketball: A Comparative Study": This research study compares traditional performance analysis methods with AI-driven approaches in basketball, evaluating their strengths and weaknesses.
7. "Data Privacy and Security in AI-Powered Sports Training Systems": This article focuses on the crucial aspects of data security and privacy within the context of AI applications in sports.
8. "Overcoming Barriers to AI Adoption in Smaller Sports Organizations": This piece addresses the challenges faced by smaller organizations in implementing AI technologies and explores potential solutions.
9. "The Human Element in AI-Driven Sports Training": This article highlights the importance of maintaining the human element in coaching and training, despite the increasing role of AI.
Publisher: Springer Nature, a leading global scientific publisher known for its high-quality research publications in various scientific fields, including sports science and artificial intelligence.
Editor: Dr. Michael Jones, PhD, Associate Professor of Biomechanics and Sports Technology at Stanford University. Dr. Jones has extensive experience in the application of technology to sports science and a strong track record in peer review and editorial work.
| ai in sports training: AI Game Changers Vijay Sellayah, Selva Sugunendran, 2024-08 AI Game Changers: Transforming Sports Training for Young Athletes Unlock your athletic potential with AI Game Changers: Transforming Sports Training for Young Athletes. This revolutionary guide introduces the power of artificial intelligence (AI) to enhance your sports training, offering future-forward insights, strategies, and tips tailored for young athletes, collegiate players, and forward-thinking coaches. Dive into the transformative world of AI, where cutting-edge technology meets sports training. Learn how AI-driven performance feedback, game analysis, and injury prevention can take you from good to great, and from winning to triumphing. Whether you aim to optimize your physical conditioning, refine your techniques, or conquer mental challenges, this book provides the tools to elevate your game. Explore AI applications across various sports, from cricket and football to rugby and tennis, and discover how AI personalizes training programs, creates immersive virtual environments, and ensures optimal health and longevity in your athletic career. Each chapter presents complex AI concepts in an accessible manner, bridging theoretical knowledge with practical applications. AI Game Changers is more than a book; it's a roadmap to mastering AI in sports. Embrace this technological revolution, train smarter, and push the boundaries of your performance. Ready, set, go-your future in sports awaits! |
| ai in sports training: Artificial Intelligence in Sport Performance Analysis Duarte Araújo, Micael Couceiro, Ludovic Seifert, Hugo Sarmento, Keith Davids, 2021-04-20 To understand the dynamic patterns of behaviours and interactions between athletes that characterize successful performance in different sports is an important challenge for all sport practitioners. This book guides the reader in understanding how an ecological dynamics framework for use of artificial intelligence (AI) can be implemented to interpret sport performance and the design of practice contexts. By examining how AI methodologies are utilized in team games, such as football, as well as in individual sports, such as golf and climbing, this book provides a better understanding of the kinematic and physiological indicators that might better capture athletic performance by looking at the current state-of-the-art AI approaches. Artificial Intelligence in Sport Performance Analysis provides an all-encompassing perspective in an innovative approach that signals practical applications for both academics and practitioners in the fields of coaching, sports analysis, and sport science, as well as related subjects such as engineering, computer and data science, and statistics. |
| ai in sports training: Revolutionizing Education in the Age of AI and Machine Learning Habib, Maki K., 2019-09-15 Artificial Intelligence (AI) serves as a catalyst for transformation in the field of digital teaching and learning by introducing novel solutions to revolutionize all dimensions of the educational process, leading to individualized learning experiences, teachers playing a greater role as mentors, and the automation of all administrative processes linked to education. AI and machine learning are already contributing to and are expected to improve the quality of the educational process by providing advantages such as personalized and interactive tutoring with the ability to adjust the content and the learning pace of each individual student while assessing their performance and providing feedback. These shifts in the educational paradigm have a profound impact on the quality and the way we live, interact with each other, and define our values. Thus, there is a need for an earnest inquiry into the cultural repercussions of this phenomenon that extends beyond superficial analyses of AI-based applications in education. Revolutionizing Education in the Age of AI and Machine Learning addresses the need for a scholarly exploration of the cultural and social impacts of the rapid expansion of artificial intelligence in the field of education including potential consequences these impacts could have on culture, social relations, and values. The content within this publication covers such topics as AI and tutoring, role of teachers, physical education and sports, interactive E-learning and virtual laboratories, adaptive curricula development, support critical thinking, and augmented intelligence and it is designed for educators, curriculum developers, instructional designers, educational software developers, education consultants, academicians, administrators, researchers, and professionals. |
| ai in sports training: Artificial Intelligence in Sports, Movement, and Health Carlo Dindorf, |
| ai in sports training: Science and Application of High-Intensity Interval Training Laursen, Paul, Buchheit, Martin, 2019 The popularity of high-intensity interval training (HIIT), which consists primarily of repeated bursts of high-intensity exercise, continues to soar because its effectiveness and efficiency have been proven in use by both elite athletes and general fitness enthusiasts. Surprisingly, few resources have attempted to explain both the science behind the HIIT movement and its sport-specific application to athlete training. That’s why Science and Application of High-Intensity Interval Training is a must-have resource for sport coaches, strength and conditioning professionals, personal trainers, and exercise physiologists, as well as for researchers and sport scientists who study high-intensity interval training. |
| ai in sports training: Research Anthology on Business Strategies, Health Factors, and Ethical Implications in Sports and eSports Management Association, Information Resources, 2020-11-27 From issues of racism to the severity of concussions to celebrity endorsements, the sports industry continues to significantly impact society. With the rise of eSports and its projection as the next billion dollar industry, it is vital that a multifaceted approach to sports research be undertaken. On one side, businesses are continually offering new methods for marketing and branding and finding the best ways to enhance consumer engagement and the consumer experience. On the other side, there has been progress and new findings in the physical fitness and training of the athletes themselves along with discussions on their psychology and wellbeing. This two-tiered approach to analyzing sports and eSports from a practical business perspective, along with a lens placed on the athletes themselves, provides a comprehensive view of the current advancements, technologies, and strategies within various aspects of the sports and esports industry. Research Anthology on Business Strategies, Health Factors, and Ethical Implications in Sports and eSports covers the latest findings on all factors of sports: the branding and marketing of sports and eSports, studies on athletes and consumers, a dive into the ethics of sports, and the introduction of eSports to the industry. This wide coverage of all fields of research recently conducted leads this book to be a well-rounded view of how sports are functioning in modern times. Highlighted topics include branding tactics, consumer engagement, eSports history and technologies, ethics and law, and psychological studies of athlete wellness. This book is ideal for sports managers, athletes, trainers, marketers, brand managers, advertisers, practitioners, stakeholders, researchers, academicians, and students interested working in the fields of sports medicine, law, physical education, assistive technologies, marketing, consumer behavior, and psychology. |
| ai in sports training: Deep Learning Applications, Volume 2 M. Arif Wani, Taghi Khoshgoftaar, Vasile Palade, 2020-12-14 This book presents selected papers from the 18th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2019). It focuses on deep learning networks and their application in domains such as healthcare, security and threat detection, fault diagnosis and accident analysis, and robotic control in industrial environments, and highlights novel ways of using deep neural networks to solve real-world problems. Also offering insights into deep learning architectures and algorithms, it is an essential reference guide for academic researchers, professionals, software engineers in industry, and innovative product developers. |
| ai in sports training: 21st Century Sports Sascha L. Schmidt, 2020-09-12 This book outlines the effects that technology-induced change will have on sport within the next five to ten years, and provides food for thought concerning what lies further ahead. Presented as a collection of essays, the authors are leading academics from renowned institutions such as Massachusetts Institute of Technology, Queensland University of Technology, and the University of Cambridge, and practitioners with extensive technological expertise. In their essays, the authors examine the impacts of emerging technologies like artificial intelligence, the Internet of Things, and robotics on sports and assess how they will change sport itself, consumer behavior, and existing business models. The book will help athletes, entrepreneurs, and innovators working in the sports industry to spot trendsetting technologies, gain deeper insights into how they will affect their activities, and identify the most effective responses to stay ahead of the competition both on and off the pitch. |
| ai in sports training: Computational Intelligence in Sports Iztok Fister, Iztok Fister Jr., Dušan Fister, 2018-12-17 This book presents recent research on computational intelligence (CI) algorithms in the field of sport. In the modern age, information technologies have greatly reduced the need for human effort in the carrying out of many daily tasks. These technologies have radically influenced the lives of humans, and the information society in general. Unfortunately, these advances have brought with them certain negative effects, including the encouragement of sedentary lifestyles and the attendant health problems such as obesity that these engender. Other modern maladies, chiefly cardiovascular disease, diabetes, and cancer, have also been on the increase. Today, sports are virtually the only activity that still connects modern humans to their original lifestyle, which was based on physical motion. This book tears familiarizing sports scientists with the foundations of computational intelligence, while at the same time presenting the problems that have arisen in the training domain to computer scientists. Lastly, the book proposes the use of an Artificial Sports Trainer designed to enhance the training of modern athletes who cannot afford the considerable expense of hiring a human personal trainer. This intelligent system can monitor performance and design and direct appropriate future training, thus promoting both healthy lifestyles and competitive success in athletes. |
| ai in sports training: Serious Training for Endurance Athletes Rob Sleamaker, Ray Browning, 1996 SERIOUS Training for Endurance Athletes provides the tools to create training programs and workouts that will pay off in competition. Endurance athletes, coaches, and multisport fitness buffs will learn how to design, schedule, execute, and monitor training programs for top results. Rob Sleamaker joins with Ray Browning, seven-time Ironman Triathlon winner, to produce a much improved version of the highly popular earlier edition. You'll learn to: - set up and manage your personalized training schedule; - use the S-E-R-I-O-U-S system of training--Speed, Endurance, Race-pace, Intervals, Overdistance, Up-hill Intervals, Strength; - add variety to your workouts; - develop a winning nutritional program; - prepare mentally for races; and - stay motivated to train and win. The authors share their expertise in a fun and informative way, drawing from their own experiences as champions. Plus, the book features the latest training advice for running, cycling, mountain biking, swimming, rowing, cross-country skiing, cross training, duathlons, and triathlons. SERIOUS Training for Endurance Athletes is your guide to high-level fitness and performance. |
| ai in sports training: Laterality in Sports Florian Loffing, Norbert Hagemann, Bernd Strauss, Clare MacMahon, 2016-08-19 Laterality in Sports: Theories and Applications summarizes recent research on the neurophysiological foundations of handedness, and how left or right lateralization (affecting primary hand use, foot use, and eye use) affects motor control, performance outcome, skill acquisition, and achievement of sports expertise—both for one-on-one sports and team sports. As laterality research has matured, greater focus has been given to applications in human endeavours and, in particular, sport. The book examines performance within individual sports, and discusses the coaching ramifications of coaching to a specific lateralization preference. - Describes the neurophysiological foundations of handedness - Discusses the origins and development of laterality in humans - Summarizes the impact of laterality on motor control and sports performance - Encompasses research on both individual and team sports - Includes research on skill acquisition, coaching, and development of expertise - Covers research on laterality in preferred hand, foot, and eye use in sports |
| ai in sports training: The Sports Gene David Epstein, 2014-04-29 The New York Times bestseller – with a new afterword about early specialization in youth sports – from the author of Range: Why Generalists Triumph in a Specialized World. The debate is as old as physical competition. Are stars like Usain Bolt, Michael Phelps, and Serena Williams genetic freaks put on Earth to dominate their respective sports? Or are they simply normal people who overcame their biological limits through sheer force of will and obsessive training? In this controversial and engaging exploration of athletic success and the so-called 10,000-hour rule, David Epstein tackles the great nature vs. nurture debate and traces how far science has come in solving it. Through on-the-ground reporting from below the equator and above the Arctic Circle, revealing conversations with leading scientists and Olympic champions, and interviews with athletes who have rare genetic mutations or physical traits, Epstein forces us to rethink the very nature of athleticism. |
| ai in sports training: The Playmaker's Advantage Leonard Zaichkowsky, Daniel Peterson, 2018-06-12 Discover the next frontier in sports training—improving your mental game, no matter your age or experience—and how to become the Playmaker, both in your professional and personal life. Coaches search for it. Parents dream of it. Fans love it. Athletes want it. The playmaker on any sports team possesses it: an elusive, intangible quality combining anticipation, perception, and decision-making skills. This quality raises their game above the competition and allows them to pass when no one else can, anticipate the movement of opponents, avoid costly mental mistakes, and ultimately, hold the team together. Now, for the first time, cognitive science research is revealing the secrets of the playmaker’s keen sense of awareness. Just as tests of speed, strength, and agility have provided a baseline of physiological biomarkers, coaches can now capture cognitive metrics including attention, pattern recognition, anticipation, and the ability to take quick, decisive action during the chaos of competition. The Playmaker’s Advantage is a groundbreaking book that will educate athletes of all ages about this essential creative capability in an accessible, easy to understand method. |
| ai in sports training: Multimedia Content Analysis Ajay Divakaran, 2009-03-02 Multimedia Content Analysis: Theory and Applications covers the latest in multimedia content analysis and applications based on such analysis. As research has progressed, it has become clear that this field has to appeal to other disciplines such as psycho-physics, media production, etc. This book consists of invited chapters that cover the entire range of the field. Some of the topics covered include low-level audio-visual analysis based retrieval and indexing techniques, the TRECVID effort, video browsing interfaces, content creation and content analysis, and multimedia analysis-based applications, among others. The chapters are written by leading researchers in the multimedia field. |
| ai in sports training: Periodization Training for Sports Tudor O. Bompa, Carlo Buzzichelli, 2015-02-17 Sport conditioning has advanced tremendously since the era when a “no pain, no gain” philosophy guided the training regimens of athletes. Dr. Tudor Bompa pioneered most of these breakthroughs, proving long ago that it's not only how much and how hard an athlete works but also when and what work is done that determine an athlete's conditioning level. Periodization Training for Sports goes beyond the simple application of bodybuilding or powerlifting programs to build strength in athletes. In this new edition of Periodization Training for Sports, Bompa teams with strength and conditioning expert Carlo Buzzichelli to demonstrate how to use periodized workouts to peak at optimal times by manipulating strength training variables through six training phases (anatomical adaptation, hypertrophy, maximum strength, conversion to specific strength, maintenance, and tapering) and integrating them with energy system training and nutrition strategies. Coaches and athletes in 35 sports have at their fingertips a proven program that is sure to produce the best results. No more guessing about preseason conditioning, in-season workloads, or rest and recovery periods; now it's simply a matter of identifying and implementing the information in this book. Presented with plenty of ready-made training schedules, Periodization Training for Sports is your best conditioning planner if you want to know what works, why it works, and when it works in the training room and on the practice field. Get in better shape next season and reap the benefits of smarter workouts in competition. Own what will be considered the bible of strength training for sport of the next decade. |
| ai in sports training: 2020 Second International Conference on Transdisciplinary AI (TransAI) IEEE Staff, 2020-09-21 AI and computer science AI and education AI and humanities AI and medicine AI and agriculture AI and sciences AI and engineering AI and law AI and business |
| ai in sports training: Competing in the Age of AI Marco Iansiti, Karim R. Lakhani, 2020-01-07 a provocative new book — The New York Times AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Now with a new preface that explores how the coronavirus crisis compelled organizations such as Massachusetts General Hospital, Verizon, and IKEA to transform themselves with remarkable speed, Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning—to drive ever more accurate, complex, and sophisticated predictions. When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani: Present a framework for rethinking business and operating models Explain how collisions between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models Explain the opportunities and risks created by digital firms Describe the new challenges and responsibilities for the leaders of both digital and traditional firms Packed with examples—including many from the most powerful and innovative global, AI-driven competitors—and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI. |
| ai in sports training: Artificial Intelligence in Practice Bernard Marr, 2019-04-15 Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce. |
| ai in sports training: Computer Vision in Sports Thomas B. Moeslund, Graham Thomas, Adrian Hilton, 2015-01-19 The first book of its kind devoted to this topic, this comprehensive text/reference presents state-of-the-art research and reviews current challenges in the application of computer vision to problems in sports. Opening with a detailed introduction to the use of computer vision across the entire life-cycle of a sports event, the text then progresses to examine cutting-edge techniques for tracking the ball, obtaining the whereabouts and pose of the players, and identifying the sport being played from video footage. The work concludes by investigating a selection of systems for the automatic analysis and classification of sports play. The insights provided by this pioneering collection will be of great interest to researchers and practitioners involved in computer vision, sports analysis and media production. |
| ai in sports training: The Champion's Mind Jim Afremow, 2015-05-15 Even among the most elite performers, certain athletes stand out as a cut above the rest, able to outperform in clutch, game-deciding moments. These athletes prove that raw athletic ability doesn't necessarily translate to a superior on-field experience—its the mental game that matters most. Sports participation—from the recreational to the collegiate Division I level—is at an all-time high. While the caliber of their games may differ, athletes at every level have one thing in common: the desire to excel. In The Champion's Mind, sports psychologist Jim Afremow, PhD, offers the same advice he uses with Olympians, Heisman Trophy winners, and professional athletes, including: • How to get in a zone, thrive on a team, and stay humble • How to progress within a sport and sustain long-term excellence • Customizable pre-performance routines to hit full power when the gun goes off or the puck is dropped With hundreds of useful tips, breakthrough science, and cutting-edge workouts from the world's top trainers, The Champion's Mind will help you shape your body to ensure a longer, healthier, happier lifetime. |
| ai in sports training: AI for Sports Chris Brady, Karl Tuyls, Shayegan Omidshafiei, 2022-01-28 It seems that artificial intelligence (AI) is always just five years away, but it never arrives. Recently, however. developments have made the practical utility of game theory a genuine reality. Will sport provide the petri dish in which AI will prove itself? What do domain specialists like managers and coaches want to know that they can’t currently find out, and can AI provide the answer? What competitive advantages might AI provide for recruitment, performance and tactics, health and fitness, pedagogy, broadcasting, eSports, gambling and stadium design in the future? Written by leading experts in both sports management and AI, AI for Sports begins to answer these and many other questions on the future of AI for sports. |
| ai in sports training: Artificial Intelligence in Healthcare Adam Bohr, Kaveh Memarzadeh, 2020-06-21 Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data |
| ai in sports training: InSideOut Coaching Joe Ehrmann, Gregory Jordan, 2011-08-02 In this inspirational yet practical book, the man Parade called “the most important coach in America,” subject of the national bestseller Season of Life, Joe Ehrmann, describes his coaching philosophy and explains how sports can transform lives at every level of play, from the earliest years to professional sports. Coaches have a tremendous platform, says Joe Ehrmann, a former Syracuse University All-American and NFL star. Perhaps second only to parents, coaches can impact young people as no one else can. But most coaches fail to do the teaching, mentoring, even life-saving intervention that their platform provides. Too many are transactional coaches; they focus solely on winning and meeting their personal needs. Some coaches, however, use their platform. They teach the Xs and Os, but also teach the Ys of life. They help young people grow into responsible adults; they leave a lasting legacy. These are the transformational coaches. These coaches change lives, and they also change society by helping to develop healthy men and women. InSideOut Coaching explains how to become a transformational coach. Coaches first have to “go inside” and articulate their reasons for coaching. Only those who have taken the InSideOut journey can become transformational. Joe Ehrmann provides examples of coaches in his life who took this journey and taught him how to find something bigger than himself in sports.He describes his own InSideOut experience, starting with the death of his beloved brother, which helped him understand how sports could transcend the playing field. He gives coaches the information and the tools they need to become transformational. Joe Ehrmann has taken his message about the extraordinary power of sports all over the country. It has been warmly endorsed by NFL head coaches, athletic directors at major universities, high school head coaches, even business groups and community organizations. Now any parent-coach or school or community coach can read Ehrmann’s message and learn how to make sports a life-changing experience. |
| ai in sports training: Computational Intelligence David I. Poole, David Lynton Poole, RANDY AUTOR GOEBEL, David Poole, Alan K. Mackworth, Alan Mackworth, Randy Goebel, 1998 Provides an integrated introduction to artificial intelligence. Develops AI representation schemes and describes their uses for diverse applications, from autonomous robots to diagnostic assistants to infobots. DLC: Artificial intelligence. |
| ai in sports training: Sports Speed George B. Dintiman, Robert D. Ward, Tom Tellez, 1997 Whether you're an athlete looking for an edge on the competition or a coach looking to improve your athletes' individual or team performance, Sports Speed shows you how to train for maximum speed and quickness. Create individual and sports-specific speed training programs for a wide variety of sports, including basketball, football, baseball/softball, soccer, hockey, tennis, rugby, track and field, and many more. |
| ai in sports training: Flow in Sports Susan A. Jackson, Mihaly Csikszentmihalyi, 1999 With help from sports psychology researcher Jackson, Csikszentmihalyi (human behavior, U. of Chicago) pares down his now-famous concept of flow to basic explanations and self-assessment exercises. Emphasis is on achieving a balance between challenges and skills, setting goals, taking advantage of feedback, focusing on the present, controlling the controllables, and having fun. Annotation copyrighted by Book News, Inc., Portland, OR |
| ai in sports training: Designing Autonomous AI Kence Anderson, 2022-06-14 Early rules-based artificial intelligence demonstrated intriguing decision-making capabilities but lacked perception and didn't learn. AI today, primed with machine learning perception and deep reinforcement learning capabilities, can perform superhuman decision-making for specific tasks. This book shows you how to combine the practicality of early AI with deep learning capabilities and industrial control technologies to make robust decisions in the real world. Using concrete examples, minimal theory, and a proven architectural framework, author Kence Anderson demonstrates how to teach autonomous AI explicit skills and strategies. You'll learn when and how to use and combine various AI architecture design patterns, as well as how to design advanced AI without needing to manipulate neural networks or machine learning algorithms. Students, process operators, data scientists, machine learning algorithm experts, and engineers who own and manage industrial processes can use the methodology in this book to design autonomous AI. This book examines: Differences between and limitations of automated, autonomous, and human decision-making Unique advantages of autonomous AI for real-time decision-making, with use cases How to design an autonomous AI from modular components and document your designs |
| ai in sports training: Artificial Intelligence and its Impact on Business Wolfgang Amann, Agata Stachowicz-Stanusch, 2020-06-01 Artificial intelligence (AI) technologies are one of top investment priorities in these days. They are aimed at finding applications in fields of special value for humans, including education. The fourth industrial revolution will replace not only human hands but also human brains, the time of machines requires new forms of work and new ways of business education, however we must be aware that if there is no control of human-chatbot interaction, there is a risk of losing sight of this interaction’s goal. First, it is important to get people to truly understand AI systems, to intentionally participate in their use, as well as to build their trust, because “the measure of success for AI applications is the value they create for human lives” (Stanford University 2016, 33). Consequently, society needs to adapt to AI applications if it is to extend its benefits and mitigate the inevitable errors and failures. This is why it is highly recommended to create new AI-powered tools for education that are the result of cooperation between AI researchers and humanities’ and social sciences’ researchers, who can identify cognitive processes and human behaviors. This book is authored by a range of international experts with a diversity of backgrounds and perspectives hopefully bringing us closer to the responses for the questions what we should teach (what the ‘right’ set of future skills is), how we should teach (the way in which schools should teach and assess them) and where we should teach (what implications does AI have for today’s education infrastructure). We must remember as we have already noticed before “…education institutions would need to ensure that that they have an appropriate infrastructure, as well as the safety and credibility of AI-based systems. Ultimately, the law and policies need to adjust to the rapid pace of AI development, because the formal responsibility for appropriate learning outcomes will in future be divided between a teacher and a machine. Above all, we should ensure that AI respect human and civil rights (Stachowicz-Stanusch, Amann, 2018)”. |
| ai in sports training: Practical Sports Coaching Christine Nash, 2014-11-24 Practical Sports Coaching is a thorough and engaging guide for all sports coaching students and practitioners. Drawing on real-life case studies and examples, the book is designed to develop practical coaching skills and provides readers with the methods and tools they need to become an expert coach. Structured around all facets of the coaching process, the text comprehensively covers topics such as: preparation for coaching mentoring the philosophy of coaching direct intervention coaching methods the use of modern technology. The book’s practical approach allows the reader to consider common challenges faced by coaches, suggesting solutions to performance concerns and preparing students for the realities of professional sports coaching. A companion website containing presentation slides and useful weblinks makes the book a complete resource for students and lecturers alike. Practical Sports Coaching helps to bridge the gap between theory and practical coaching skills, and is an essential text for coaching students looking to deepen their understanding of sports coaching and experienced coaches developing their own practical skills. |
| ai in sports training: ChiRunning Danny Dreyer, Katherine Dreyer, 2009-05-05 The revised edition of the bestselling ChiRunning, a groundbreaking program from ultra-marathoner and nationally-known coach Danny Dreyer, that teaches you how to run faster and farther with less effort, and to prevent and heal injuries for runners of any age or fitness level. In ChiRunning, Danny and Katherine Dreyer, well-known walking and running coaches, provide powerful insight that transforms running from a high-injury sport to a body-friendly, injury-free fitness phenomenon. ChiRunning employs the deep power reserves in the core muscles, an approach found in disciplines such as yoga, Pilates, and T’ai Chi. ChiRunning enables you to develop a personalized exercise program by blending running with the powerful mind-body principles of T’ai Chi: -Get aligned: Develop great posture and reduce your potential for injury while running, and make knee pain and shin splints a thing of the past. -Engage your core: Shift the workload from your leg muscles to your core muscles, for efficiency and speed. -Add relaxation to your running: Learn to focus your mind and relax your body to increase speed and distance. -Make it a Mindful Practice: Maintain high performance and make running a mindful, enjoyable life-long practice. It’s easy to learn. Transform your running with the ten-step ChiRunning training program. |
| ai in sports training: Peak Performance Brad Stulberg, Steve Magness, 2017-06-06 A transfixing book on how to sustain peak performance and avoid burnout —Adam Grant, New York Times bestselling author of Option B, Originals, and Give and Take An essential playbook for success, happiness, and getting the most out of ourselves. Arianna Huffington, author of Thrive and The Sleep Revolution I doubt anyone can read Peak Performance without itching to apply something to their own lives. —David Epstein, New York Times bestselling author of The Sports Gene A few common principles drive performance, regardless of the field or the task at hand. Whether someone is trying to qualify for the Olympics, break ground in mathematical theory or craft an artistic masterpiece, many of the practices that lead to great success are the same. In Peak Performance, Brad Stulberg, a former McKinsey and Company consultant and writer who covers health and the science of human performance, and Steve Magness, a performance scientist and coach of Olympic athletes, team up to demystify these practices and demonstrate how you can achieve your best. The first book of its kind, Peak Performance combines the inspiring stories of top performers across a range of capabilities—from athletic to intellectual and artistic—with the latest scientific insights into the cognitive and neurochemical factors that drive performance in all domains. In doing so, Peak Performance uncovers new linkages that hold promise as performance enhancers but have been overlooked in our traditionally-siloed ways of thinking. The result is a life-changing book in which you can learn how to enhance your performance via myriad ways including: optimally alternating between periods of intense work and rest; priming the body and mind for enhanced productivity; and developing and harnessing the power of a self-transcending purpose. In revealing the science of great performance and the stories of great performers across a wide range of capabilities, Peak Performance uncovers the secrets of success, and coaches you on how to use them. If you want to take your game to the next level, whatever your game may be, Peak Performance will teach you how. |
| ai in sports training: The Science of Success: What Researchers Know that You Should Know Paula J. Caproni, 2016-12-08 Short description. |
| ai in sports training: AI and Society Christo El Morr, 2023-01-08 AI's impact on human societies is and will be drastic in so many ways. AI is being adopted and implemented around the world, and government and universities are investing in AI studies, research, and development. However, very little research exists about the impact of AI on our lives. This book will address this gap; it will gather reflections from around the world to assess the impact of AI on different aspects of society as well as propose ways in which we can address this impact and the research agendas needed. |
| ai in sports training: Ask a Manager Alison Green, 2018-05-01 From the creator of the popular website Ask a Manager and New York’s work-advice columnist comes a witty, practical guide to 200 difficult professional conversations—featuring all-new advice! There’s a reason Alison Green has been called “the Dear Abby of the work world.” Ten years as a workplace-advice columnist have taught her that people avoid awkward conversations in the office because they simply don’t know what to say. Thankfully, Green does—and in this incredibly helpful book, she tackles the tough discussions you may need to have during your career. You’ll learn what to say when • coworkers push their work on you—then take credit for it • you accidentally trash-talk someone in an email then hit “reply all” • you’re being micromanaged—or not being managed at all • you catch a colleague in a lie • your boss seems unhappy with your work • your cubemate’s loud speakerphone is making you homicidal • you got drunk at the holiday party Praise for Ask a Manager “A must-read for anyone who works . . . [Alison Green’s] advice boils down to the idea that you should be professional (even when others are not) and that communicating in a straightforward manner with candor and kindness will get you far, no matter where you work.”—Booklist (starred review) “The author’s friendly, warm, no-nonsense writing is a pleasure to read, and her advice can be widely applied to relationships in all areas of readers’ lives. Ideal for anyone new to the job market or new to management, or anyone hoping to improve their work experience.”—Library Journal (starred review) “I am a huge fan of Alison Green’s Ask a Manager column. This book is even better. It teaches us how to deal with many of the most vexing big and little problems in our workplaces—and to do so with grace, confidence, and a sense of humor.”—Robert Sutton, Stanford professor and author of The No Asshole Rule and The Asshole Survival Guide “Ask a Manager is the ultimate playbook for navigating the traditional workforce in a diplomatic but firm way.”—Erin Lowry, author of Broke Millennial: Stop Scraping By and Get Your Financial Life Together |
| ai in sports training: Artificial Intelligence in Surgery: Understanding the Role of AI in Surgical Practice Daniel A. Hashimoto, Guy Rosman, Ozanan R. Meireles, 2021-03-08 Build a solid foundation in surgical AI with this engaging, comprehensive guide for AI novices Machine learning, neural networks, and computer vision in surgical education, practice, and research will soon be de rigueur. Written for surgeons without a background in math or computer science, Artificial Intelligence in Surgery provides everything you need to evaluate new technologies and make the right decisions about bringing AI into your practice. Comprehensive and easy to understand, this first-of-its-kind resource illustrates the use of AI in surgery through real-life examples. It covers the issues most relevant to your practice, including: Neural Networks and Deep Learning Natural Language Processing Computer Vision Surgical Education and Simulation Preoperative Risk Stratification Intraoperative Video Analysis OR Black Box and Tracking of Intraoperative Events Artificial Intelligence and Robotic Surgery Natural Language Processing for Clinical Documentation Leveraging Artificial Intelligence in the EMR Ethical Implications of Artificial Intelligence in Surgery Artificial Intelligence and Health Policy Assessing Strengths and Weaknesses of Artificial Intelligence Research Finally, the appendix includes a detailed glossary of terms and important learning resources and techniques―all of which helps you interpret claims made by studies or companies using AI. |
| ai in sports training: Mind Gym Gary Mack, David Casstevens, 2002-06-24 Praise for Mind Gym Believing in yourself is paramount to success for any athlete. Gary's lessons and David's writing provide examples of the importance of the mental game. --Ben Crenshaw, two-time Masters champion and former Ryder Cup captain Mind Gym hits a home run. If you want to build mental muscle for the major leagues, read this book. --Ken Griffey Jr., Major League Baseball MVP I read Mind Gym on my way to the Sydney Olympics and really got a lot out of it. Gary has important lessons to teach, and you'll find the exercises fun and beneficial. --Jason Kidd, NBA All-Star and Olympic gold-medal winner In Mind Gym, noted sports psychology consultant Gary Mack explains how your mind influences your performance on the field or on the court as much as your physical skill does, if not more so. Through forty accessible lessons and inspirational anecdotes from prominent athletes--many of whom he has worked with--you will learn the same techniques and exercises Mack uses to help elite athletes build mental muscle. Mind Gym will give you the head edge over the competition. |
| ai in sports training: Beyond the Mountain Steve House, 2013-10-06 What does it take to be one of the world's best high-altitude mountain climbers? A lot of fundraising; traveling in some of the world's most dangerous countries; enduring cold bivouacs, searing lungs, and a cloudy mind when you can least afford one. It means learning the hard lessons the mountains teach. Steve House built his reputation on ascents throughout the Alps, Canada, Alaska, the Karakoram and the Himalaya that have expanded possibilities of style, speed, and difficulty. In 2005 Steve and alpinist Vince Anderson pioneered a direct new route on the Rupal Face of 26,600-foot Nanga Parbat, which had never before been climbed in alpine style. It was the third ascent of the face and the achievement earned Steveand Vince the first Piolet dor (Golden Ice Axe) awarded to North Americans. Steve is an accomplished and spellbinding storyteller in the tradition of Maurice Herzog and Lionel Terray. Beyond the Mountain is a gripping read destined to be a mountain classic. And it |
| ai in sports training: Life as Sport Jonathan Fader, 2016-05-03 Why do sports captivate people? They allow us to watch human beings achieve peak performance, but, beyond physical strength and skill, what's really impressive is an athlete's mental prowess -- their will to succeed, engagement with their environment, and self-confidence. In Life as Sport, sport psychologist Dr. Jonathan Fader shares the skills that he teaches professional athletes--to enhance motivation, set productive goals, sharpen routines, manage stress, and clarify thought processes--and applies them to real-world situations. Dr. Fader's book is the product of thousands of hours of conversations with athletes from various teams and sports: power forwards, tennis phenoms, power-hitting outfielders, and battle-scarred linebackers, as well as hedge-fund managers, entrepreneurs, A-list actors, and dozens of other elite achievers in sports, business, and performing arts. It offers a compendium of stories, theories, and techniques that have been helpful to players, coaches, and executives in professional sports. What emerges is more than just a set of techniques, but a life philosophy that anyone can live by: an internal code to help translate our talent and drive toward the highest plateaus of performance. Dr. Fader designs his strategies to be studied, learned, practiced, and improved. He offers his readers the same exercises that he uses in every session with a professional athlete. These exercises help you to get truly engaged, whether you are designing a new business plan, working to inspire a team or individual, or even falling in love. This is what it means to truly live life as sport--to approach it with the same immediacy, wonder, and engagement that athletes feel at their peak during a game. Life as Sport helps you to pursue your own goals with an enriched intensity -- not only because it creates new potential, but also because it helps you unlock what was always there to begin with. |
| ai in sports training: THE EVOLUTION OF ARTIFICIAL INTELLIGENCE DAVID SANDUA, 2019-03-22 In The Evolution of Artificial Intelligence, the fascinating story of the development of one of the most revolutionary technologies of our time is told. From the earliest rudimentary algorithms to today's complex neural networks, this book offers a detailed view of how artificial intelligence has evolved and transformed our lives. Through historical anecdotes, interviews with field pioneers, and in-depth analysis, the reader will discover the challenges and triumphs that have marked the path of AI. More than just a technological chronicle, this book explores the ethical, social, and economic implications of AI and how these intelligent machines are redefining the very concept of what it means to be human. With an accessible yet rigorous approach, The Evolution of Artificial Intelligence is a must-read for anyone interested in understanding the present and future of this fascinating technology. |
| ai in sports training: Artificial Intelligence Harvard Business Review, 2019 Companies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the economy and society. What should you and your company be doing right now to ensure that your business is poised for success? These articles by AI experts and consultants will help you understand today's essential thinking on what AI is capable of now, how to adopt it in your organization, and how the technology is likely to evolve in the near future. Artificial Intelligence: The Insights You Need from Harvard Business Review will help you spearhead important conversations, get going on the right AI initiatives for your company, and capitalize on the opportunity of the machine intelligence revolution. Catch up on current topics and deepen your understanding of them with the Insights You Need series from Harvard Business Review. Featuring some of HBR's best and most recent thinking, Insights You Need titles are both a primer on today's most pressing issues and an extension of the conversation, with interesting research, interviews, case studies, and practical ideas to help you explore how a particular issue will impact your company and what it will mean for you and your business. |
OpenAI
May 21, 2025 · ChatGPT for business just got better—with connectors to internal tools, MCP support, record mode & SSO to Team, and flexible pricing for Enterprise. We believe our …
What is AI - DeepAI
What is AI, and how does it enable machines to perform tasks requiring human intelligence, like speech recognition and decision-making? AI learns and adapts through new data, integrating …
Artificial intelligence - Wikipedia
Artificial intelligence (AI) is the capability of computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, …
ISO - What is artificial intelligence (AI)?
AI spans a wide spectrum of capabilities, but essentially, it falls into two broad categories: weak AI and strong AI. Weak AI, often referred to as artificial narrow intelligence (ANI) or narrow AI, …
Artificial intelligence (AI) | Definition, Examples, Types ...
4 days ago · Artificial intelligence is the ability of a computer or computer-controlled robot to perform tasks that are commonly associated with the intellectual processes characteristic of …
Google AI - How we're making AI helpful for everyone
Discover how Google AI is committed to enriching knowledge, solving complex challenges and helping people grow by building useful AI tools and technologies.
What Is Artificial Intelligence? Definition, Uses, and Types
May 23, 2025 · Artificial intelligence (AI) is the theory and development of computer systems capable of performing tasks that historically required human intelligence, such as recognizing …
What is artificial intelligence (AI)? - IBM
Artificial intelligence (AI) is technology that enables computers and machines to simulate human learning, comprehension, problem solving, decision-making, creativity and autonomy.
What is Artificial Intelligence (AI)? - GeeksforGeeks
Apr 22, 2025 · Narrow AI (Weak AI): This type of AI is designed to perform a specific task or a narrow set of tasks, such as voice assistants or recommendation systems. It excels in one …
Machine learning and generative AI: What are they good for in ...
Jun 2, 2025 · What is generative AI? Generative AI is a newer type of machine learning that can create new content — including text, images, or videos — based on large datasets. Large …
OpenAI
May 21, 2025 · ChatGPT for business just got better—with connectors to internal tools, MCP support, record mode & SSO to Team, and flexible pricing for Enterprise. We believe our …
What is AI - DeepAI
What is AI, and how does it enable machines to perform tasks requiring human intelligence, like speech recognition and decision-making? AI learns and adapts through new data, integrating …
Artificial intelligence - Wikipedia
Artificial intelligence (AI) is the capability of computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, …
ISO - What is artificial intelligence (AI)?
AI spans a wide spectrum of capabilities, but essentially, it falls into two broad categories: weak AI and strong AI. Weak AI, often referred to as artificial narrow intelligence (ANI) or narrow AI, …
Artificial intelligence (AI) | Definition, Examples, Types ...
4 days ago · Artificial intelligence is the ability of a computer or computer-controlled robot to perform tasks that are commonly associated with the intellectual processes characteristic of …
Google AI - How we're making AI helpful for everyone
Discover how Google AI is committed to enriching knowledge, solving complex challenges and helping people grow by building useful AI tools and technologies.
What Is Artificial Intelligence? Definition, Uses, and Types
May 23, 2025 · Artificial intelligence (AI) is the theory and development of computer systems capable of performing tasks that historically required human intelligence, such as recognizing …
What is artificial intelligence (AI)? - IBM
Artificial intelligence (AI) is technology that enables computers and machines to simulate human learning, comprehension, problem solving, decision-making, creativity and autonomy.
What is Artificial Intelligence (AI)? - GeeksforGeeks
Apr 22, 2025 · Narrow AI (Weak AI): This type of AI is designed to perform a specific task or a narrow set of tasks, such as voice assistants or recommendation systems. It excels in one …
Machine learning and generative AI: What are they good for in ...
Jun 2, 2025 · What is generative AI? Generative AI is a newer type of machine learning that can create new content — including text, images, or videos — based on large datasets. Large …
