#35 - The Game Behind the Game: AI in Sports Analytics

Dive into the intricate world of trustworthy AI in this enlightening episode. Discover the multifaceted nature of trustworthiness, from accuracy and reliability to fairness and transparency. Explore the methodologies, technologies, and industry practices shaping trustworthy AI systems. Learn from real-world case studies and envision the promising future of AI that's not just intelligent but also trustworthy. Join us as we unravel the importance of trust in AI for its broader acceptance and effectiveness.
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Resources used in this episode:

1. In AI We Trust: Ethics, Artificial Intelligence, and Reliability [Link].
2. The relationship between trust in AI and trustworthy machine learning technologies [Link].
3. Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims [Link].
4. Trustworthy Artificial Intelligence: A Review [Link].
5. Blockchain for explainable and trustworthy artificial intelligence [Link].
6. Trustworthy AI in the Age of Pervasive Computing and Big Data [Link].
7. From Trustworthy Principles to a Trustworthy Development Process: The Need and Elements of Trusted Development of AI Systems [Link].
8. Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims [Link].
9. Bridging the Gap Between Ethics and Practice: Guidelines for Reliable, Safe, and Trustworthy Human-centered AI Systems [Link].
10. Trustworthy AI: From Principles to Practices [Link].

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Dive into the transformative world of Edge AI in this episode of "The AI Frontier Podcast." Discover the significance of processing data closer to its source, explore the myriad benefits of Edge AI, and understand its revolutionary applications across industries. From manufacturing to smart cities, learn how Edge AI is reshaping the technological landscape. Join us as we navigate the challenges, celebrate the milestones, and envision a future where Edge AI drives innovation and efficiency.
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Resources used in this episode:

1. Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing [Link].
2. Handling Data Handoff of AI-based Applications in Edge Computing Systems [Link].
3. Cloud-Edge Orchestration for the Internet of Things: Architecture and AI-Powered Data Processing [Link].
4. In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning [Link].

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Join us on "The AI Frontier Podcast" as we dive deep into the transformative journey of AI. From its early days as an exclusive domain to its current state of widespread accessibility, we explore the rise and impact of no-code and low-code platforms. Delve into the significance of user-friendly AI applications and navigate the ethical waters of this technological revolution. Together, we'll uncover challenges, celebrate milestones, and envision a future where the power of AI is harnessed by all.
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Resources used in this episode:

1. Democratizing algorithmic news recommenders: how to materialize voice in a technologically saturated media ecosystem [Link].
2. Mind the gap : enhancing the ethical regulation of low-code/no-code AI platforms. [Link].
3. Designing a User-Centered Autotagging Demo Interface for Both Technical and Non-Technical Users [Link].
4. A Review on Artificial Intelligence Tools [Link].
5. Distributed, decentralized, and democratized artificial intelligence [Link].
6. Regulating Deep Fakes: Legal and Ethical Considerations [Link].
7. Ethical aspects of digital health from a justice point of view [Link].

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Dive into "The Digital Sommelier: AI in Wine Production and Tasting" episode where we explore the transformative role of artificial intelligence in the world of wine. From optimizing wine production to predicting taste profiles, discover how AI is revolutionizing the delicate balance between tradition and technology in winemaking. Join us as we toast to the future of viticulture and enology, enhanced by the power of AI.
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Resources used in this episode:

1. Optimization of Sustainable Enzymes Production: Artificial Intelligence and Machine Learning Techniques [Link]
2. Media optimization for biosurfactant production by Rhodococcus erythropolis MTCC 2794: artificial intelligence versus a statistical approach [Link]
3. Effects of boiling, ultra-high temperature and high hydrostatic pressure on free amino acids, flavor characteristics and sensory profiles in Chinese rice wine [Link]
4. Optimization of a rapid method for studying the cellular location of β‐glucosidase activity in wine yeasts [Link]
5. A Prediction Model for Quality of Red Wine through Explainable Artificial Intelligence [Link]
6. Taste or reputation: what drives market prices in the wine industry? Estimation of a hedonic model for Italian premium wines [Link]
7. Climate Change and the Wine Industry: Current Research Themes and New Directions [Link]
8. Wine Characterisation with Spectral Information and Predictive Artificial Intelligence [Link]

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Embark on a culinary journey with "The Unseen Chef: AI in Cooking and Food Preparation" episode. Explore the fascinating intersection of artificial intelligence and the culinary arts. From AI-generated recipes to smart kitchen gadgets, discover how technology is revolutionizing the way we cook, eat, and experience food. Whether you're a foodie or a tech enthusiast, this episode serves up a delightful blend of innovation and tradition in the world of gastronomy.
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Resources used in this episode:

1. Can ChatGPT generate energy, macro-and micro-nutrient sufficient meal plans for different dietary patterns? [Link to the paper]
2. Design in Everyday Cooking: Challenges for Assisting with Menu Planning and Food Preparation [Link to the paper]
3. AI-Driven Meal Planning in the FoodTech Industry: A Reinforcement Learning Approach [Link to the paper]
4. Ensuring Food Security Through Meal Optimization [Link to the paper]
5. Effects of COVID-19 pandemic on hospitality industry: review of the current situations and a research agenda [Link to the paper]
6. Robots, Artificial Intelligence, and Service Automation in Restaurants [Link to the paper]
7. Making Healthful Food Choices: The Influence of Health Claims and Nutrition Information on Consumers’ Evaluations of Packaged Food Products and Restaurant Menu Items [Link to the paper]
8. I’ll Have What She’s Having: Effects of Social Influence and Body Type on the Food Choices of Others [Link to the paper]
9. Impact of Artificial Intelligence and Machine Learning in the Food Industry: A Survey [Link to the paper]

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Unearth the potential of artificial intelligence in "The Digital Green Thumb: AI's Role in Modern Agriculture" episode. Delve into the transformative impact of AI on farming practices, crop management, and sustainable agriculture. From precision farming to predictive analytics, discover how AI is reshaping the agricultural landscape, ensuring food security, and promoting sustainable practices. Join us on this journey as we sow the seeds of knowledge and harvest the fruits of innovation in modern agriculture.
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Resources used in this episode:

1. Smart Sustainable Agriculture (SSA) Solution Underpinned by Internet of Things (IoT) and Artificial Intelligence (AI) [https://arxiv.org/abs/1906.03106v1]
2. Prediction of Soil Moisture Content Based On Satellite Data and Sequence-to-Sequence Networks [https://arxiv.org/abs/1907.03697v1]
3. Total Nitrogen Estimation in Agricultural Soils via Aerial Multispectral Imaging and LIBS [https://arxiv.org/abs/2107.02355v1]
4. AI-based evaluation of the SDGs: The case of crop detection with earth observation data [https://arxiv.org/abs/1907.02813v1]
5. Affordable Artificial Intelligence -- Augmenting Farmer Knowledge with AI [https://arxiv.org/abs/2303.06049v1
6. Towards The Creation Of The Future Fish Farm [https://arxiv.org/abs/2301.01618v1]

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Tune into "The Unheard Composer: AI in Music Creation" episode and immerse yourself in the harmonious blend of artificial intelligence and music. Discover how AI is reshaping the soundscape, from composing melodies to enhancing musical experiences. Whether you're a musician, a tech enthusiast, or simply a lover of music, this episode offers a deep dive into the innovative ways AI is striking a chord in the world of music creation.
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Resources used in this episode:

1. "Melatonin": A Case Study on AI-induced Musical Style: https://arxiv.org/abs/2208.08968v1
2. Music Composition with Deep Learning: A Review [https://arxiv.org/abs/2108.12290v2]
3. An interactive music infilling interface for pop music composition [https://arxiv.org/abs/2203.12736v1]

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In this episode of "The AI Frontier Podcast", we dive deep into the world of sports analytics, exploring how artificial intelligence is revolutionizing both athlete performance and fan engagement. From soccer's player movement analysis to basketball's embedded visualizations and baseball's swing assessments, AI is proving to be a game-changer. Discover how these advancements are not only enhancing the game for athletes but also creating a richer, more immersive experience for fans. Join us as we journey through the transformative power of AI in sports and look ahead to its promising future.
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Resources used in this episode:

1. A Comprehensive Review of Computer Vision in Sports: Open Issues, Future Trends and Research Directions [https://arxiv.org/abs/2203.02281v2]
2. The Ball is in Our Court: Conducting Visualization Research with Sports Experts [https://arxiv.org/abs/2211.07832v1]
3. A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications [https://arxiv.org/abs/2206.01038v1]
4. The Quest for Omnioculars: Embedded Visualization for Augmenting Basketball Game Viewing Experiences [https://arxiv.org/abs/2209.00202v1]

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In this episode of "The AI Frontier Podcast", we delve into the invisible world of AI in social media. We explore the fundamental role of AI in shaping our social media experience, from content curation to targeted advertising. We discuss real-world examples of how AI algorithms influence content discovery and user behavior on popular platforms like Facebook, Instagram, and Twitter. We also examine the subtle ways AI shapes our online interactions and perceptions, and gaze into the future of AI in social media. Follow us on Twitter @wadieskaf for more insights into the world of AI.
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References used in this episode:

1. Towards FATE in AI for Social Media and Healthcare: A Systematic Review [https://arxiv.org/abs/2306.05372]
2. Excitements and Concerns in the Post-ChatGPT Era: Deciphering Public Perception of AI through Social Media Analysis [https://arxiv.org/abs/2307.05809]
3. The Digital Architectures of Social Media: Comparing Political Campaigning on Facebook, Twitter, Instagram, and Snapchat in the 2016 U.S. Election [https://arxiv.org/abs/1904.07333]
4. Predicting Engagement with the Internet Research Agency's Facebook and Instagram Campaigns around the 2016 U.S. Presidential Election [https://arxiv.org/abs/2010.14950]
5. Detection of Fake Users in SMPs Using NLP and Graph Embeddings [https://arxiv.org/abs/2104.13094]
6. Capturing Humans' Mental Models of AI: An Item Response Theory Approach [https://arxiv.org/abs/2305.09064]
7. How Mock Model Training Enhances User Perceptions of AI Systems [https://arxiv.org/abs/2111.08830]
8. Perceptions of Fairness and Trustworthiness Based on Explanations in Human vs. Automated Decision-Making [https://arxiv.org/abs/2109.05792]
9. On Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making [https://arxiv.org/abs/2209.11812]
10. A Study of Comfortability between Interactive AI and Human [https://arxiv.org/abs/2302.14360]
11. Social media as political party campaign in Indonesia [https://arxiv.org/abs/1406.4086]
12. Stance Detection on Social Media: State of the Art and Trends
13. State of AI Ethics Report (Volume 6, February 2022) [https://arxiv.org/abs/2006.03644]
14. Trends Prediction Using Social Diffusion Models [https://arxiv.org/abs/1111.4650]

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In this episode of "The AI Frontier Podcast", we explore the subtle yet significant impact of AI on the fashion industry. We delve into how AI is revolutionizing fashion design and retail, discuss real-world examples of AI in fashion design and personalized shopping experiences, and explore how AI subtly shapes our fashion choices and shopping habits. We also gaze into the future, discussing what we can expect from AI in the fashion industry. Follow me on Twitter @wadieskaf for more insights into the world of AI.
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References used in this episode:

1. fAshIon after fashion: A Report of AI in Fashion [https://arxiv.org/abs/2105.03050]
2. Using Artificial Intelligence to Analyze Fashion Trends [https://arxiv.org/abs/2005.00986]
3. FashionNet: Personalized Outfit Recommendation with Deep Neural Network [https://arxiv.org/abs/1810.02443]
4. Leveraging Two Types of Global Graph for Sequential Fashion Recommendation [https://arxiv.org/abs/2105.07585]
5. A Large-Scale Study of Online Shopping Behavior [https://arxiv.org/abs/1212.5959]
6. Explainable AI based Interventions for Pre-season Decision Making in Fashion Retail [https://arxiv.org/abs/2008.07376]
7. TextileNet: A Material Taxonomy-based Fashion Textile Dataset [https://arxiv.org/abs/2301.06160]

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