Payment systems rarely fail because transactions cannot be processed. They fail because what happens around the transaction does not scale. Most organizations spend years improving payment acceptance.

What if the tool you’ve been waiting for could not only catch errors in your Python code instantly but also handle millions of lines with lightning speed? Enter Pyrefly, Meta’s latest innovation in ...

Abstract: Logs of large-scale cloud systems record diverse system events, ranging from routine statuses to critical errors. As the fundamental step of automated log analysis, log parsing is to ...

When visualizing the output of librosa.stft with display.specshow, setting y_axis='log' does not use a true logarithmic scale. Instead, it appears to use a symmetric log (symlog) scale. This results ...

If AI is to become pervasive, as the model builders and datacenter builders who are investing enormous sums of money are clearly banking on it to be, then it really goes have to be a global phenomenon ...

For SMEs, access to capital has never been a simple issue, but given the current economic climate, the state is even worse. Lenders are still risk-averse, macro economics are uncertain and inflation ...

If you want a CPU that has the floating point performance of a GPU, all you have to do is wait six or so years and the CPU roadmaps can catch up. This seems like a long time to wait, which is why so ...

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Abstract: Decentralized strategies are of interest for learning from large-scale data over networks. This paper studies learning over a network of geographically distributed nodes/agents subject to ...