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Covers data science tools, Hadoop, Spark, data lake ecosystems, CAP theorem, batch vs. stream processing, HDFS, Hive, Parquet, ORC, and MapReduce architecture.
Explores industrial communication networks, covering principles, standard field buses, hierarchy, advantages, applications, engineering, time-stamping, cyclic vs event-driven transmission, Ethernet role, and future trends.
Delves into training and applications of Vision-Language-Action models, emphasizing large language models' role in robotic control and the transfer of web knowledge. Results from experiments and future research directions are highlighted.
