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| Apr 26, 2025 | Backpropagation, introduced in 1986, is a widely used and effective method for training neural networks, but it has drawbacks like high memory usage and limited parallelism. Researchers at the University of Oxford have now proposed a new algorithm that trains neural networks without relying on backpropagation, potentially overcoming these limitations. More details |
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| Dec 10, 2024 | 2024 Danaher Summit |