Scope of artificial intelligence and machine ...

Scope of artificial intelligence and machine learning

Author Name : Ruchi Sharma

DOI: https://doi.org/10.56025/IJARESM.2023.11323909

ABSTRACT

Artificial intelligence (AI) refers to what information about the language structure being transmitted to the machine: It should result in a more intuitive and faster solution, based on a learning algorithm that repeats patterns in new data. Good results are obtained in imitating the cognitive process whose several layers of densely connected biological subsystems are invariant to many input transformations. This invariant so sought after by AI and cognitive computing is in the universal structure of language, provider of the universal language algorithm. The representation property to improve machine learning (ML) generalizes the execution of a set of underlying variation factors that must be described in the form of other simpler underlying variation factors, preventing the “curse of dimensionality.” The universal model specifies a generalized function (representational capacity of the model) in the universal algorithm, serving as a framework for the algorithm to be applied in a specific circumstance.

Keywords: Data analysis, Face recognition, Natural language processing, Algorithm, Cluster, Image Recognition, Robotics, Deep learning, Cross disciplinary approach, Expert System, Language Detection machine.