Black Forest Labs' new Self-Flow technique makes training multimodal AI models 2.8x more efficient

This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models ...
IEEE

Improved Isolation Forest-Based Anomaly Detection for Cooperative Spectrum Sensing Against SSDF Attack in CWSNs

Abstract: Cognitive radio (CR) technology aims to address spectrum scarcity by allowing sensor nodes (SNs) to detect and opportunistically access channels that are not utilized by primary users (PUs), ...
GitHub

ariellubonja/yggdrasil-oblique-forests

YDF (Yggdrasil Decision Forests) is a library to train, evaluate, interpret, and serve Random Forest, Gradient Boosted Decision Trees, CART and Isolation forest models. See the documentation for more ...
GitHub

wgsim/claude-glm-wrapper

Secure wrapper to use Z.ai GLM models (GLM 5, 4.7, 4.6) with Claude Code - credential protection, session isolation, automated secret scanning - wgsim/claude-glm-wrapper ...
Phys.org

Amazon deforestation raises surface temperature by 3°C during dry season, satellite data show

Deforestation in the Amazon is causing significant regional changes in climate compared to areas with forest cover above 80%. The loss of vegetation leads to an increase in surface temperature, a ...
IEEE

Anomaly Detection in Complex Systems Using Extended Isolation Forest and Denoising Autoencoder

Abstract: In this paper, we propose an anomaly detection model based on Extended Isolation Forest and Denoising Autoencoder, which achieves unsupervised anomaly detection with good generalization ...