… As access to data has improved, quality annotations have remained a limiting factor in the
development of useful artificial intelligence (AI) models derived from machine learning and …

… Artificial intelligence (AI) applications offer opportunities to support ESIA processes across
… This chapter supplements the literature on use of AI solutions for environmental, social, and …

… this time was about 30 years after artificial intelligence (AI) came into being … artificial
intelligence methods was applied in the field of Chinese medicine research, expert system, artificial …

There is substantial evidence that Artificial Intelligence (AI) and Machine Learning (ML)
algorithms can generate bias against minorities, women, and other protected classes. Federal …

… Still further, we will be adumbrating, but only adumbrating, a programmatic level solution.
The implications of our critique, then, are not at all that Artificial Intelligence and Cognitive …

… In summary, artificial intelligence may not support the claimed benefits of its educational
solutions due to its incompleteness, which is caused by the gap between algorithmic designers …

… One approach is to gather all these models ingo a single library that a system of artificial
intelligence might use to increase it's general problem solving ability. This paper explores the …

… Artificial Intelligence (AI) technologies used in developing smart cities solutions, Machine
Learning (… approach to solution development makes the outcome of solutions less explainable, …

Purpose The purpose of this study was to create an algorithm to detect and classify pulmonary
nodules in two categories based on their volume greater than 100 mm 3 or not, using …

Artificial intelligence (AI) is emerging as a potential growth area for facilitating the improvement
and development of teams in the workplace. AI, as used in the team context, is currently …