The Internet of Intelligence is conceived as an emerging networking paradigm, which will
make intelligence as easy to obtain as information. This paper provides an overview of the …

Despite the growing popularity of machine learning models in the cyber‐security
applications (eg, an intrusion detection system (IDS)), most of these models are perceived …

The paper presents an overview of current and expected prospects for the development of
artificial intelligence algorithms, especially in military applications, and conducted research …

Vietnam plans to develop artificial intelligence (AI) markets but is still at the early
development stages of investment, regulation and research development. A critical review of …

The unique role that AI plays in making decisions that affect human lives creates a need to
foster improved public understanding of AI systems. Informal learning spaces are particularly …

The military environment generates a large amount of data of great importance, which
makes necessary the use of machine learning for its processing. Its ability to learn and …

Cervical cancer is a potentially life-threatening disease marked by health practitioners. The
late diagnosis and treatment, being quite challenging, stake the precious lives of patients. In …

Few-shot learning (FSL) usually assumes that the query is drawn from the same label space
as the support set, while queries from unknown classes may emerge unexpectedly in many …

Nowadays, it is hard to recall a domain, system, or problem that does not use, embed, or
could be tackled through AI. From early stages of its development, its techniques and …

To design and develop AI‐based cybersecurity systems (eg, intrusion detection system
(IDS)), users can justifiably trust, one needs to evaluate the impact of trust using machine …