Paulo Costa’s Post

We’re out with our latest #AxessPoint, which offers a comprehensive exploration of CP+ following our recent whitepaper. This “under the hood” look examines the key factors influencing the movement of CP+, providing insights into the model's interpretability. Additionally, it showcases the algorithm's capacity to extract meaningful signals from proprietary data, and its ability to leverage valuable insights from both traded and non-traded inquiries. https://okt.to/IGneYC

We’re out with our latest #AxessPoint, which offers a comprehensive exploration of CP+ following our recent whitepaper. This “under the hood” look examines the key factors influencing the movement of CP+, providing insights into the model's interpretability. Additionally, it showcases the algorithm's capacity to extract meaningful signals from proprietary data, and its ability to leverage valuable insights from both traded and non-traded inquiries. https://okt.to/2xjkwg

We’re out with our latest #AxessPoint, which offers a comprehensive exploration of CP+ following our recent whitepaper. This “under the hood” look examines the key factors influencing the movement of CP+, providing insights into the model's interpretability. Additionally, it showcases the algorithm's capacity to extract meaningful signals from proprietary data, and its ability to leverage valuable insights from both traded and non-traded inquiries. https://okt.to/xeHXsy

We’re out with our latest #AxessPoint, which offers a comprehensive exploration of CP+ following our recent whitepaper. This “under the hood” look examines the key factors influencing the movement of CP+, providing insights into the model's interpretability. Additionally, it showcases the algorithm's capacity to extract meaningful signals from proprietary data, and its ability to leverage valuable insights from both traded and non-traded inquiries. https://okt.to/8yIGrW

We’re out with our latest #AxessPoint, which offers a comprehensive exploration of CP+ following our recent whitepaper. This “under the hood” look examines the key factors influencing the movement of CP+, providing insights into the model's interpretability. Additionally, it showcases the algorithm's capacity to extract meaningful signals from proprietary data, and its ability to leverage valuable insights from both traded and non-traded inquiries. https://okt.to/rWKtcv

this is one of those huge things that gets missed because it's pretty nerdy stuff, but... tracing is good; tracing + profiling is better. If you want to understand WHY your bit of code in a traced span takes so long to execute, profiling with eBPF technology can uncover the reason why, even if it is kernel activity or a third-party library.

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Modern #radar and #ElectronicWarfare (#EW) signals are becoming more diverse, dynamic, and challenging to measure and analyze. Keysight offers a powerful analysis tool - PathWave (89600) VSA software that lets you explore every facet of a signal and optimize your designs. Here's some information about the pulse analysis option that could help you answer your most pressing questions. https://lnkd.in/gACTmvAx

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