… Many artificial intelligence applications rely on performing a search … Parallel processing
is commonly used to reduce the … the concept of search as it relates to Artificial Intelligence. …

… parallel architecture oriented to video-rate computer vision applications. This architecture is
… This function usually requires Artificial Intelligence tools as well as previous knowledge of …

… direction in the field of machine learning and artificial intelligence. MDRL covers many
algorithms, … In this paper, a parallel-critic method based on classic MDRL algorithm MADDPG is …

… To support the parallel processing of large networks or multiple networks concurrently, our
Tianjic chip adopts a many-core architecture with scattered localized memory for timely and …

… architecture has been used to build experimental agents for several AIS niches. We illustrate
the architecture … , Guardian is capable of performing several corrective actions in parallel- …

… As Boden puts it, ‘Sequential instructions are replaced by massive parallelism, top-down
control by bottom-up processing, and logic by probability.’ They need to be trained by being fed …

… them an interesting model to implement Artificial Intelligences (AIs) on embedded systems
… the parallel training process is demonstrated through experiments on architectures ranging …

… multiprocessor systems is matching the architecture configuration to the algorithms to be …
of artificial intelligence tools, specifically expert systems, to design an Intelligent Operating …

… describe parallel models for genetic algorithms in general and the massively parallel Diffusion
… This chapter will describe a taxonomy of parallel GA models with the purpose of finding a …

… Artificial intelligence (AI) is the Science and Engineering domain concerned with the theory
and practice of developing systems that exhibit the characteristics we associate with intelligence …