IBM’s Post

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!

AI's ability to quickly acquire new knowledge and skills is remarkable. It never ceases to amaze me.

Practice makes perfect

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

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.

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

Cooperation and Teamwork Proven as a Mathematical Emergent Evolutionary Processes through AI Training. This video from Google’s DeepMind offers a fascinating glimpse into the process of training humanoid bots to play soccer from scratch, with zero prior knowledge. Through neural net training and reinforcement learning with human feedback (RLHF), these bots embark on an iterative journey that parallels human evolution—repeated cycles of failure, success, and adaptation. Initially, the bots know nothing of soccer. Yet through countless trials, they learn to kick, dribble, and eventually pass the ball. What’s truly remarkable is that teamwork and cooperation emerge as complex, evolving behaviors. The bots discover that collaborating with teammates greatly improves their chances of scoring and winning. This emergent cooperation reflects the arc of human development, where interaction, feedback, and adaptation lead to higher-order behaviors. Like nature’s trial-and-error process over millennia, the bots’ learning is driven by complexity and refinement. What begins as isolated action transforms into a cooperative strategy—teamwork as an emergent evolutionary necessity. A powerful reminder of how complexity, RLHF, and neural net training echo Darwinian models while revealing teamwork as a surprisingly evolved adaptive trait. #AI #Emergence #Complexity #ReinforcementLearning #Evolution #Teamwork

DeepMind’s AI bots playing soccer in simulation. The agents don’t communicate with each other and only try to maximize their own incentive. But teamwork and complex strategies *emerge* through repeated competition! ↓ Are you technical? Check out https://AlphaSignal.ai to get a daily summary of breakthrough models, repos and papers in AI. Read by 200,000+ devs.

𝐓𝐞𝐬𝐭𝐢𝐧𝐠 Midjourney'𝐬 𝐢𝐦𝐚𝐠𝐢𝐧𝐚𝐭𝐢𝐨𝐧! I asked the famous AI model for generating football stadiums while increasing the in each image and here are the results! Curious about the last slide. Any thoughts? 💡

MIT Technology Review writes about DeepMind building a new AI assistant to help soccer coaches get better https://lnkd.in/e-tjGkSi. #aiassistant #deepmind #google #soccer #artificialintelligence #mittechnologyreview