David del Río Díaz’s Post

In our latest "The Human Code" episode, we delve deep into the world of artificial intelligence with our guest, Ari Kaplan, who brings invaluable insights from his experience, including work with Major League Baseball. 🤖⚾ Ari discusses the crucial aspect of accuracy in AI models, sharing, "No model is perfect, but some are more useful than others." He highlights the balance between utility and precision, particularly in predictive analytics, where he once helped forecast the performance of MLB players. 📊🚀 🎧 Tune in as Ari explains how these AI predictions, while not perfect, achieve sufficient accuracy for various applications—whether in sports or even space missions. How accurate does AI need to be for you to trust it in your field? 🔗 https://lnkd.in/gz-v5yzb Join the conversation! How do you manage the balance between accuracy and utility in AI within your industry? Are there situations where 'good enough' is not good enough? Share your thoughts in the comments below! 👇 #TheHumanCode #THC #ArtificialIntelligence #PredictiveAnalytics #TechTalks #AriOnAI

Ever wondered what it’d be like if AI joined a soccer team? Imagine this: Halftime Huddle: The coach gathers the players, and AI pipes in, ‚I’ve analyzed the data. Pass the ball to the left wing for a 92.3% chance of scoring!‘ Perfect Penalty: During a penalty kick, AI calculates the perfect angle and speed. ‚Just aim 23 degrees to the right and kick with 78% power!‘ Never Tired: While players catch their breath, AI is still running stats and strategies non-stop, never needing a break. 🎉⚽🤖 #FootballAndAI #TechHumor #AIWins You want more insights? Contact us: 📧 info@madamehighquality.de 🌐 www.madamehighquality.de

Updates on #AI : Unlock the Secret to Beating the Bookies: How Fantasy Football Hub’s AI Rating System Reveals the Truth, Full article link 👇🏻👇🏻 https://lnkd.in/dzhamJFC #artificialintelligence #machinelearning #ML

This AI assistant, called TacticAI by Google DeepMind, can predict corner kick outcomes and provide tactical suggestions for a few reasons: * **Data Analysis Power:** TacticAI is trained on a massive dataset of corner kicks, likely including player positions, movements, past successes, and even factors like ball trajectory. This allows it to identify patterns and predict how a specific corner kick might play out based on similar situations. * **Simulations and Strategies:** The AI can also run simulations of different corner kick formations and plays. By analyzing these simulations, it can suggest realistic and potentially more effective tactics than what coaches might come up with traditionally. * **Focus on Efficiency:** For analysts, researching past corner kicks to develop tactics can be time-consuming. TacticAI streamlines this process by automatically identifying similar situations and suggesting relevant strategies, allowing coaches to focus on refining the plan. Overall, TacticAI leverages its data analysis and simulation capabilities to provide coaches with a powerful tool to improve their corner kick strategies.

Practice makes perfect

It’s interesting to see how teamwork emerges as a successful strategy, even in a non-collaborative game. It shows how collaboration can naturally arise, even when agents are focused solely on their own incentives. AI keeps revealing fascinating insights, and it’s a great reminder of how game theory principles play out even in simulations! #AI #Teamwork #GameTheory

AI is taking every field by storm effortlessly. Every type of industry uses AI to boost productivity and speed up the process. Fantasy sports industry is no exception for this. So, how's AI redefining the market of fantasy sports? Read the blog to know more. - bit.ly/49rialD #blog #mobileappdevelopment #fantasysports #Sciflare #artificialintelligence #businessneeds

AI Agents training on the rules of a soccer game ⚽️⚽️⚽️⚽️⚽️⚽️⚽️⚽️⚽️⚽️⚽️⚽️⚽️⚽️⚽️⚽️

Learn about all things GenAI in this Federal News Network AI & Data Exchange Interview with #GuidehouseExpert Bassel Haidar! Some inside baseball, Bassel is a master of communicating complex concepts to folks like me - thank you!

🚀 Exciting Update: Additional Predicted Real world Videos for Football Player Object Detection using YOLOv8n! I'm thrilled to share some new developments from my recent project on football player object detection using YOLOv8n. Alongside the initial video showcasing the model's capabilities, I've predicted two more videos which was taken from real world examples , further demonstrating the effectiveness of the model. These predictions are a testament to the robustness and versatility of the YOLOv8n model in detecting and tracking football players and the ball in various scenarios. For more details, you can view the complete project on my Kaggle notebook: [https://lnkd.in/giNGnR5k] Feel free to watch the new videos below and share your thoughts! #MachineLearning #ComputerVision #YOLOv8 #ObjectDetection #AI #Kaggle #Ultralytics