In a world where self-driving robotaxis glide through major city streets without drivers behind the wheel and delivery drones ...

In this era of data-driven innovations, the demand for diverse, high-quality, reliable data is constantly rising. However, accessing and utilizing real-world data can often be challenging due privacy ...

A robotic simulator is a software framework that provides a virtual environment, often leveraging different physics/rendering engines and sensor models, to model the robot's behavior, its interaction ...

The TensorDL-MPC toolbox is a Python-based software developed using the TensorFlow framework. It leverages deep learning techniques to enhance the performance of traditional Model Predictive Control ...

The grand challenge facing global agriculture today is the need to increase food production to feed a rapidly growing population, amid diminishing natural and human resources and climate pressures.

The artificial intelligence revolution has created unprecedented demand for skilled professionals, making AI engineer salary one of the most searched topics among tech professionals. As companies ...

To provide quantitative analysis of strategic confrontation game such as cross-border trades like tariff disputes and competitive scenarios like auction bidding, we propose an alternating Markov ...

TensorFlow is an open-source platform developed at Google for machine learning and artificial intelligence. It offers a full ecosystem of tools, libraries, and community resources for the development, ...

Automation of repetitive tasks has long been one of the main pillars of industry. The increase in computational resources, machine learning, and robotic hardware in the last decades has now allowed to ...

The dawn of the digital age, aptly characterized by “computers everywhere” (Salganik, 2018, p. 3), has shaped modern societies and, thus, the lives of individuals worldwide in unique ways. The ...