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While advancing rapidly, Artificial Intelligence still falls short of human intelligence in several key aspects due to inherent limitations in current AI technologies and our understanding of cognition. Humans have an innate ability to understand context, nuances, and subtle cues in communication, which allows us to comprehend jokes, sarcasm, and metaphors. Machines struggle to interpret such contextual information accurately. Humans possess a vast repository of common-sense knowledge that helps us make logical inferences and predictions about the world. Machines lack this innate understanding and often struggle with making sense of situations that humans find trivial. In this article, we review the prospective Machine Intelligence candidates, a review from Prof. Yann LeCun, and other work that can help close this gap between human and machine intelligence. Specifically, we talk about what's lacking with the current AI techniques such as supervised learning, reinforcement learning, self-supervised learning, etc. Then we show how Hierarchical planning-based approaches can help us close that gap and deep-dive into energy-based, latent-variable methods and Joint embedding predictive architecture methods.

Blockchain technology is a revolutionary technology for the sixth-generation (6G) network. Blockchain offers significant advantages of transparency, immutability, flexibility, traceability, and security to the 6G network management. This chapter focuses on the survey of an emerging field of blockchain technology in 6G-based application and network management. Blockchain could enhance resource management and spectrum management more broadly. Blockchain could record the idle spectrum usage between primary users and secondary users. In addition, the network management chapter briefs about the security concern of the 6G network. Further, the impact of emerging technologies on the 6G network are also introduced.

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