Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
thermodynamic cycles by combining two complementary approaches: - Generative models derived from artificial intelligence, capable of proposing new process architectures; - Superstructure-based optimization
-
a major challenge, accounting for up to 50% of global electricity consumption by 2030. This situation is largely due to the Von Neumann computing architecture, which limits the energy efficiency
-
an expanded coherent and exascale-ready software stack featuring breakthrough research advances that meets the needs of complex parallel applications and the requirements of heterogeneous exascale architectures
-
efficiency). - Contributing to scientific validation, writing publications, and disseminating results. - Software development (C++/Python) in a ROS 2 environment and robotics simulators. - Integration
-
of data, services, interaction devices, and use cases influence the evolution of software and systems to guarantee the essential properties such as reliability, performance, autonomy, and adaptability
-
generally, the digital continuum (HL-LHC, SKAO and SLICES-RI). ODISSEE will provide evolutionary and revolutionary hardware and software platforms to meet the digital challenges of these major infrastructures
-
] to perform their tasks efficiently. The control of multiple robots through a centralized software platform can bring a large-scale farm automation. However, agricultural environments often feature