The term artificial intelligence (AI), which has become popular in recent years, has completely changed how we live and work. But even as AI develops and gets better, there are already new technologies on the horizon that have the potential to overtake it as the next big thing.
- Augmented Intelligence: The term “augmented intelligence” describes the application of AI methods to improve human intellect and judgement. Decision-making could become more efficient as a result of this strategy, especially in industries like healthcare and banking. We can outperform either intellect alone by combining its strengths with those of human intelligence.
- Quantum Computing: The processing power and speed of AI systems could be significantly improved by quantum computing, an emerging field. As a result, new AI uses in fields like cryptography and drug discovery may be possible, as well as the creation of more sophisticated and precise AI models. Impressive outcomes from quantum computing have already been seen in fields like optimisation and machine learning.
- Explainable AI: An approach to creating AI systems that can communicate their thought and decision-making processes in a manner that humans can comprehend is known as explainable AI (XAI). As AI is used in crucial uses like healthcare and finance, this is becoming more and more significant. We can make sure that AI systems are open and responsible, and that their judgements can be trusted, thanks to XAI.
- Neuromorphic Computing: A method to creating AI systems that is based on the structure and operation of the human brain is known as neuromorphic computing. This might make it possible to create AI systems that are more intelligent and flexible and that can learn and adjust instantly. The creation and development of AI systems could undergo a radical change thanks to neuromorphic computing, which also has the potential to significantly enhance the functionality and performance of these systems.
- Edge Computing: The use of computing tools and AI algorithms at the network’s periphery, nearer the data source. This could lead to real-time data processing that is more effective and efficient as well as new AI uses in fields like the Internet of Things. (IoT). By drastically reducing the quantity of data that must be transmitted to the cloud, edge computing can increase the speed and effectiveness of AI systems.
- Swarm Intelligence: Swarm intelligence is an emerging field that investigates the group behaviour of autonomous, decentralised systems. This method can be used to create AI systems that are more resilient and robust, as well as versatile and adaptable. We can create artificial intelligence (AI) systems that can solve complex problems and adjust to changing environmental conditions and by studying behaviours.
These are just a few examples of what may come after AI. While AI has been a transformative technology, it is still in its early stages, and there is much more to be discovered and developed. As AI continues to evolve, we can expect to see new applications and use cases that we cannot even imagine today. Ultimately, the future of AI will be shaped by ongoing advancements in machine learning, natural language processing, computer vision, and other core AI technologies, as well as by the creative and innovative ways that people use these technologies to solve real-world problems.