Robots are rapidly moving beyond pre-programmed automation into a new era of adaptive, learning-driven autonomy. At the center of this ...

Conventional electronic noses rely on arrays of chemical sensors whose electrical responses are often affected by humidity, temperature fluctuations, and long-term drift. While these systems have ...

Intelligent control systems that integrate neural networks with emotional learning constitute a promising frontier in computational intelligence. These approaches combine the powerful pattern ...

In a world where urban traffic congestion and environmental concerns are escalating, innovative solutions are crucial for creating sustainable and efficient transportation systems. A groundbreaking ...

Healthcare is undergoing a foundational shift, moving from a reactive, siloed approach to a proactive, networked and smart one. Behind this revolution stand two compelling technologies: AI and Fast ...

As artificial intelligence becomes increasingly integrated into education, business, and everyday digital workflows, managing ...

Squirrel Ai’s platform is based on what it calls a “large adaptive model,” a combination of education-specific AI systems, trained and evaluated by human educators and students in Pre-K through 12th ...

HéctorEscudero-Jiménez, a Computer Engineer, has created a tool that enables courses for Intelligent Tutoring Systems to be designed simply and intuitively. This is the subject of his PhD thesis ...

Transaction significantly accelerates AeroVironment’s artificial intelligence and autonomy initiatives with best-in-class computer vision and machine perception capabilities Increases AeroVironment’s ...

A data science course is meant to equip learners with a higher level of positions that are founded on the analysis of data, statistics, and machine learning aimed at addressing intricate problems. The ...