Abstract: National Airspace Systems (NAS) are cyber-physical systems that require swift air traffic management (ATM) to ensure flight safety and efficiency. With the surging demand for air travel and ...

Abstract: Despite the advancements of autonomous systems from decades of engineering, there is always the need to make them even more efficient and reliable. Machine learning holds great potential to ...

Communities rely on critical infrastructures that connect and power our urban systems. Due to the dramatic changes in the world climate scenarios, these systems are subject to harsh loads and severe ...

The eight-month program combines deep technical training with applied learning on sustainable AI practices. Participants are trained not only to build advanced models but also to consider the resource ...

Join a talk at noon on Nov. 11 with Daniel Muthukrishna, astrophysicist and machine learning research scientist at MIT and AstroAI Fellow at Harvard on "Causal Foundation Models: Disentangling Physics ...

Machine learning has become an important component of many applications we use today. And adding machine learning capabilities to applications is becoming increasingly easy. Many ML libraries and ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The training process for artificial intelligence (AI) algorithms is ...

From machine learning to image recognition, Forbes Research has uncovered how different industries and regions are embracing ...

Long before we possessed computers, human beings strove to find patterns in data. Ptolemy fitted observations of the motions of the stars to a geocentric model of the cosmos, with complex epicycles to ...

Machine learning is a powerful tool in the AI toolbox, but its limitations must be understood to use effectively. Machine learning has become the latest darling of the IT marketing space, a secret ...