Abstract: The precision of floating-point numbers is a critical task in high-performance computing. Many scientific applications rely on floating-point arithmetic, but excessive precision can lead to ...
Abstract: In recent years, low-precision fixed-point computation has become a widely used technique for neural network inference on FPGAs. However, this approach has some limitations, as certain ...
The tipping point came in the summer of 2025. That July, several artificial intelligence models solved five out of six problems at the International Mathematical Olympiad, an annual challenge for some ...
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