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Understanding Real-World Applications of Graph Neural Networks | EP.17
Join Ron Green in episode 17 as he delves into the world of artificial intelligence with industry veterans Paco Nathan and Dr. Steve Kramer.
In this episode, they explore the rise of graph neural networks (GNNs), a game-changer in AI for modeling complex relationships across various domains. From weather forecasting to fraud detection, GNNs are revolutionizing how we leverage connected data.
Discover how GNNs reduce computation time, tackle the cold start problem in recommendation engines, and even aid in election integrity. Learn about real-world applications in pharma, healthcare, and cybersecurity, and the promising future of hybrid AI architectures merging symbolic and neural approaches.
Resources: www.kungfu.ai/videos/episode-17-understanding-real-world-applications-of-graph-neural-networks
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By KUNGFU.AIJoin Ron Green in episode 17 as he delves into the world of artificial intelligence with industry veterans Paco Nathan and Dr. Steve Kramer.
In this episode, they explore the rise of graph neural networks (GNNs), a game-changer in AI for modeling complex relationships across various domains. From weather forecasting to fraud detection, GNNs are revolutionizing how we leverage connected data.
Discover how GNNs reduce computation time, tackle the cold start problem in recommendation engines, and even aid in election integrity. Learn about real-world applications in pharma, healthcare, and cybersecurity, and the promising future of hybrid AI architectures merging symbolic and neural approaches.
Resources: www.kungfu.ai/videos/episode-17-understanding-real-world-applications-of-graph-neural-networks