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www.shaped.ai | ||
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www.exxactcorp.com
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| | | | | Discover how Geometric Deep Learning revolutionizes AI by processing complex, non-Euclidean data structures, enabling breakthroughs in drug discovery, 3D modeling, and network analysis. | |
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blog.fastforwardlabs.com
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| | | | | Graph Neural Networks (GNNs) are neural networks that take graphs as inputs. These models operate on the relational information in data to produce insights not possible in other neural network architectures and algorithms. While there is much excitement in the deep learning community around GNNs, in industry circles, this is sometimes less so. So, I'll review a few exciting applications empowered by GNNs. Overview of Graphs and GNNs A graph (sometimes called a network) is a data structure that highlights the relationships between components in the data. | |
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www.coursereport.com
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| | | | | With so many new AI tools debuting, how do technologists and career changers stay ahead of the AI curve? Coding Temple CEO, Evan Shy shares his take on how AI could change tech roles and how Coding Temple is responding to that. | |
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distill.pub
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| | | What we'd like to find out about GANs that we don't know yet. | ||
