Natural language processing (NLP) is a branch of computer science that focuses on creating, analysing, and interpreting human language to accomplish tasks such as sentiment classification, machine translation, handwritten character recognition, speech recognition, just to name a few. We have seen significant breakthroughs in NLP in the last few years with the most powerful language models such as GPT-3, which can produce creative fiction, develop computer code, and summarising a large corpus of research literature. Yet, the full potential of NLP is still being explored.
In the coming years, we will continue to see further advancement in the field of NLP, especially in coping with data in multi-lingual context. The impacts will be riveting in domains such as finance and services, and entertainment, in which the targeted audience is no longer limited to specific regions, or languages. NLP will continue to develop to satisfy the need for mining consumers’ opinions, understanding customers’ demand, and personalising work and play options.
Advanced computer vision technology
AI is quickly maturing in the field of imaging and computer vision with the recent advent of deep learning techniques, unsupervised learning, and active learning.
Since the days when we could classify objects such as letters, animals, and household items, computer vision has come a long way and delivers significant impacts in our everyday lives. For example, AI solutions can handle some of the greatest challenges in the healthcare segment, especially in medical imaging. Typically, the analysis of medical images requires much time and effort from experienced radiographers and doctors. Today doctors don’t have to scan through thousands of CXR and CT majors while they rather could use an automated AI system to help them identify the most important ones so that they could expedite their decision-making.