Some computers are easy to spot. Artificial, human-built computers like those found in smartphones and laptops are abstract dynamic systems with observable computational elements like input, output, ...

Abstract: For group containment control (GCC) problem, the presence of multiple subgroups and multiple leaders in each subgroup poses challenges for topology selection and problem analysis. This paper ...

Abstract: This article introduces a novel approach that combines a multimodel technique with model-free adaptive control (MFAC) to address the limitations of the full-form dynamic linearization (FFDL) ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

Artificial intelligence data annotation startup Encord, officially known as Cord Technologies Inc., wants to break down barriers to training multimodal AI models. To do that, it has just released what ...

Vietnam’s economic rise has been extraordinary. The country has made a triple transition from central planning to a market economy, from import substitution to export-led integration and from extreme ...

A research team has developed a novel method for estimating the predictability of complex dynamical systems. Their work, "Time-lagged recurrence: A data-driven method to estimate the predictability of ...

Integrating malicious AI models 6 into software supply chains presents a significant and emerging threat to cybersecurity. The attackers aim to embed malicious AI models in software components and ...

Flexible models quickly adjust to market dynamics. They foster innovation and efficient resource use. Adaptability leads to competitive advantage. A flexible business model is one that can readily ...

The environments and landscapes of an open-world game can be tremendously important to the experience, especially if the title focuses its efforts on exploration. While some open worlds are entirely ...