A Visual Model Of Self-Attention: Transformers Work Differently Now

Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.
GitHub

CausalInferenceLab/awesome-causal-inference-python

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GitHub

Causal Inference and Discovery in Python

What is this book about? Causal methods present unique challenges compared to traditional machine learning and statistics. Learning causality can be challenging, but it offers distinct advantages that ...
IEEE

Influence of Causal Inference For Crop Prediction

Abstract: - this paper proposes a novel approach in decision making in the agriculture sector by combining Bayesian inference with machine learning techniques, specifically random forest (RF). Using a ...
IEEE

Visual Analysis of Multi-Outcome Causal Graphs

Abstract: We introduce a visual analysis method for multiple causal graphs with different outcome variables, namely, multi-outcome causal graphs. Multi-outcome causal graphs are important in ...
Nasdaq

SMCI Declines 9% in a Year: Should You Hold or Fold the Stock?

The decline in SMCI’s share price can be attributed to declining revenues and shrinking margins. SMCI’s first-quarter revenues and earnings declined 15.5% and 56%, respectively. However, this decline ...