Abstract: Graph Attention Networks (GAT) is a type of neural network architecture designed to effectively model and process data represented as graphs. GATs leverage the concept of attention ...
700% higher concurrency 50% memory savings Startup is 10 times faster. Packing 90% smaller; It also supports java8 ~ java25, native runtime.
Hugo Marques explains how to navigate Java concurrency at scale, moving beyond simple frameworks to solve high-throughput IO ...
A Competitive Takeout Program designed to help organizations escape the high cost and complexity of legacy metadata ...
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