Bila theory is constructed by applying modern physics steps, from action proposal to quantization and renormalization. This paper presents the detailed process of developing Bila theory, including fields, interactions, and symmetry groups. Specific applications of this theory in digital communication, image communication, written communication, symbolic communication, interpersonal communication, and machine-to-machine communication are also discussed.

The topic of encryption backdoors has become a polarizing issue in the fields of cybersecurity and cryptography. On the one hand, governments and law enforcement agencies argue that backdoors are necessary to monitor and prevent criminal activities, especially in cases involving encrypted communications (Schneier, 2015). On the other hand, privacy experts and technology companies argue that encryption backdoors, by their very nature, weaken security and introduce vulnerabilities that could be exploited by malicious actors (AyrA_ch, 2022). Bitcoin, the world’s leading decentralized blockchain, represents an interesting case in this debate. Unlike other blockchains that may be influenced by centralized entities, Bitcoin relies heavily on its cryptographic foundations to ensure security and trust. However, questions arise: could Bitcoin contain an encryption backdoor? Is it possible that from the very beginning, a vulnerability was introduced into its cryptographic algorithms, either deliberately or by accident? This paper explores these questions by drawing on existing research and examining the case for and against backdoors in Bitcoin’s cryptographic structure.

The Long Vector framework introduces a novel approach to Natural Language Processing (NLP) and robotics by leveraging multidimensional data representation combined with quantum-inspired concepts such as superposition and entanglement. While quantum mechanics principles have primarily been applied to quantum computing, this paper explores their potential within classical computing environments. We propose that Long Vector surpasses traditional heuristic methods by enabling simultaneous exploration of multiple solution pathways, addressing key challenges in scalability, computational complexity, and optimization. Furthermore, we integrate the CVNSS 4.0 encoding scheme into the Long Vector framework to enhance NLP tasks for complex languages like Vietnamese. However, practical implementation on classical hardware requires careful approximations. This paper discusses the theoretical underpinnings, mathematical modeling, and potential applications of Long Vector, providing a comparative analysis with existing models like GPT, BERT, and robotic control systems.

This paper investigates the pivotal role of artificial languages, with a specific focus on BILA, in addressing challenges in Human-Robot Interaction (HRI). By delving into the complexities of speech recognition and technological constraints, the study introduces BILA as a groundbreaking solution. The research encompasses the design, implementation, and evaluation phases, emphasizing its transformative potential in enhancing user-robot interactions.

Bila, a constructed language, represents a significant breakthrough in human-machine interaction, particularly in the field of robots within the context of Industry 4.0. This article outlines the author’s ambitious exploration of the three comprehensive stages involved in creating and implementing the Bila language based on Parallel Vietnamese Script 4.0 (CVNSS4.0), as well as integrating it into Bila Bot, a multifunctional humanoid robot software. Inspired by the Latin alphabet and Vietnamese language - CVNSS4.0, which was passionately developed by the authors (Kieu Truong Lam & Tran Tu Binh), the name “Bila” (shortened from Binh â\euro“ Lam) is constructed on a structured foundation for efficient communication. This article emphasizes the importance of clear vocabulary and grammar in the initial stages like CVNSS4.0, followed by the integration of simulated Vietnamese sounds and the creation of Bila Bot. It explores potential applications and benefits of Bila in the field of robotics, addressing challenges and limitations in implementation. Ultimately, the Bila language signifies a promising future for human-robot interaction and inter-robot communication, enabling more visual and efficient communication.

From its inception in 2008 as an idea, Bitcoin has evolved into a functional system by 2009 and found its initial real-world usage in 2010, priced at less than $0.01 per coin. Over time, it has transformed into a globally recognized currency, with each coin valued at over $8,000 and the total market value exceeding $150 billion as of May 2020. Despite its impressive performance as one of the most lucrative investments in the last decade, Bitcoin remains a subject of controversy. Its nature as either a novel form of currency, a speculative bubble, or a combination of both is still debated. While conventional investment frameworks are well-established for assets like stocks, bonds, and real estate, Bitcoin’s unique status as a monetary asset presents challenges in evaluation due to its rarity and infrequent appearance. This research paper introduces a straightforward and easy-to-understand framework to assess Bitcoin as a novel monetary asset.