A new framework called SkillWeaver tackles AI agent tool routing by skipping full-library loading, cutting token use 99% on ...

pathmc is a Python package for Bayesian path analysis and structural causal modeling. You write your causal assumptions as a small set of structural equations in a lavaan-inspired formula language, ...

Abstract: The Internet of Underwater Things (IoUT) requires robust security architectures capable of operating under severe constraints: high latency, low bandwidth, and limited energy. Traditional ...

As AI tools enter clinical and population health research, this paper warns that speed alone is not enough, and shows why expert oversight, causal logic, and transparent workflows remain essential for ...

Managing a modern enterprise data landscape in 2026 is a lot like running a high-speed, global railway network. You have massive freight trains of legacy data leaving on-premise servers in Mumbai, ...

The Jenkins job I inherited in 2019 had forty-seven stages. Forty-seven discrete boxes in the pipeline visualization, each one a Groovy script somebody had copy-pasted from Stack Overflow and then ...

To help you stay updated with today’s fast-moving digital world, we’ve put together a list of the best free AI automation workflow tools that work seamlessly on Windows 11/10 PCs. Unlike traditional ...

For the past several decades, enterprises have been integrating various processes and workflows through tools that reach out to every corner of the enterprise. Some called this “business intelligence, ...

A representation of the cause-effect mechanism is needed to enable artificial intelligence to represent how the world works. Bayesian Networks (BNs) have proven to be an effective and versatile tool ...

The development of autonomous agents capable of performing complex tasks across various environments has gained significant traction in artificial intelligence research. These agents are designed to ...