StatsPAI is for empirical researchers who would normally jump between Stata, R, and Python. Its goal is to make common Stata/R econometrics and causal-inference workflows feel native in Python: load a ...

StatsPAI is a validation-tiered Python library for causal inference and applied econometrics. One import, 1,000+ registered functions across 80+ submodules (live count: python ...

Coinbase CEO Brian Armstrong was the recipient of some very bad vibes last week after bragging on X that nearly half his exchange’s code is already AI-generated, with plans to push it higher. The post ...

This study introduces a valuable simulation-based inference (SBI) framework to identify degenerate compensatory mechanisms that stabilize network activity despite neuronal hyperexcitability, a feature ...

Most organisms synthesize proteins using the 20 standard amino acids with a few notable exceptions: those that encode Selenocysteine (Sec) or Pyrrolysine (Pyl). We focus on Pyl, which is widespread in ...

Prompt engineering is the art and science of crafting inputs (prompts) to get desired outputs from AI models like ChatGPT. It’s a crucial skill for maximizing the effectiveness of these models.

Target prioritization is essential for drug discovery and repositioning. Applying computational methods to analyze and process multi-omics data to find new drug targets is a practical approach for ...