BACKGROUND: Medically tailored meals (MTM) have unanswered implementation questions. Providing MTM for a specific individual, ...

Abstract: Model-free predictive control (MFPC) has become a popular choice for addressing the robustness limitations of model-based predictive control (MBPC), by replacing physical models with ...

Fara-7B is Microsoft's first agentic small language model (SLM) designed specifically for computer use. With only 7 billion parameters, Fara-7B is an ultra-compact Computer Use Agent (CUA) that ...

AppControl is a modern Task Manager alternative designed to give users deeper visibility and control over system activity. In this post, we will show you how to track, control, and monitor a Windows ...

Traditional portfolio management relies on static allocations and reactive rebalancing. AlphaEdge flips this paradigm by implementing a fully automated, AI-driven investment strategy that: ...

ABSTRACT: Accurate prediction of water travel time in drip irrigation systems is essential for efficient water and nutrient delivery. This study develops a predictive model for travel time by ...

Honeywell’s HALO machine learning system predicted pressure disturbances and cycle delays with 12-minute notice, enabling operators to take preventive action before shutdowns occurred. The ...

Understanding the historical evolution and divergence of languages requires a quantitative framework for measuring their relationships. Traditional linguistic classifications provide hierarchical ...

Predictive analytics is changing how decisions are made in football and gaming. By using data-driven insights, teams and players can boost performance while gamers find new strategies. This article ...

It’s far from news to any business leader that our current rate of cyberattacks has become a serious problem. In 2024, 72% of organizations reported an increase in cyber risks, driven by the growing ...