R&D in the development of artificial intelligence

The UK government recognises the significant short- and long-term economic advantages of supporting A.I. innovation and consequently supports this burgeoning sector via R&D Tax Credits.

Aspects of A.I. that are eligible for R&D

Neural networking

This is an algorithm that is designed to operate in the same way the human brain operates. The type of information that is fed to neutral networking can either be sounds, texts or images.

The major advantage of bringing research and development funds to neural networking include;

  1. Ability to mimic the real-life situation of learning and modelling non-linear and complex associations.
  2. The model is in a position to identify and analyse unseen data.
  3. The model has proved to be the best, it has no restrictions on how the input variables are supposed to be distributed.
Deep learning

This is the process of teaching machines what comes naturally to human beings. This technology is getting highly advanced in terms of applications. A good example is driverless cars or vehicle machines without drivers and the recognition of text and images in computers.

Natural language processing

This is a branch of artificial intelligence technology that is developed to understand the human natural language. This has increased the level of interaction between computers and humans as it involves the process of speaking before a machine and having the machine interpret the data. This leads to the achievement understanding, logging and analysing audio without needing to manually feed the data to the machine.

Machine learning

This is a branch of A.I. that is focused on how machines are able to identify and interpret data with as little human intervention as possible. R&D in this sector often related to studying algorithms and systems computers and A.I. use without specific human direction.

Contact Us