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Recent Experiments.
Music-Patterns
Jun 24
Tidal Cycles Samples
Composition A: Complex Layering and Time Shifts haskell Composition A: Complex Layering and Time Shifts d1 $ stack [ fast 2 $ density 3 $ sound "bd4", Accelerated bass drum layer with density every 3 ( rev) $ sound "sn cp", Reversed snare and clap every 3 cycles slow 0.75 $ density 2 $ sound "hh3", Slowed hihat pattern with double density sometimes ( up 1) $ sound "arpy2", Occasional arpeggio with upward pitch shift every 4 ( gain 1.2) $ sound "perc2", Percussion accent with periodic gain boost delay 0.3 $ sound "fx", FX layer with a subtle delay room 0.5 $ sound "pad", Ambient pad enhanced with reverb sometimes ( speed 0.8) $ sound "bell", C
Deep-Learning
Jun 24
Real-time Network Traffic Anomaly Detection
The Needle in the Digital Haystack In today's enterprise environments, SOC analysts face a relentless flood of network traffic—legitimate business communications intermingled with potentially malicious actors operating at unprecedented scale. Traditional signaturebased IDS solutions have become glorified patternmatchers, helpless against zeroday exploits and novel attack vectors that bypass known fingerprints. The experiment detailed below emerged from a practical need: could machine learning effectively separate signal from noise in packet captures, providing actionable intelligence without overwhelming incident response teams? Technical App
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