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Top 5 artificial intelligence trends in 2023
In recent years, significant advances have been made in various areas of artificial intelligence, such as natural language processing, machine vision, robotics, and machine learning. Let's look at the main trends in artificial intelligence in 2023.

1. Advances in deep learning and neural networks: These techniques play a role in many AI applications, and are likely to continue to improve in accuracy and efficiency.
2. Increasingly intense use of AI in healthcare: AIs are already used in a wide range of healthcare applications, such as disease diagnostics, pharmaceutical and drug research, and personalised treatment recommendations. Their role in these areas is expected to grow in the future.
3. Increased use of autonomous systems: Self-driving cars, drones, and other autonomous systems have undergone substantial development for some time, and we will witness an increased penetration of these technologies in the coming years.
4. Ethical considerations and regulation: As AI continues to evolve, there is growing concern about its impact on society, which calls for ethical considerations and control.
5. Personalised experiences through AI: AI is already being used to personalise experiences in areas such as e-commerce and advertising. This trend is likely to continue in other areas such as education and entertainment.
In summary, AI is a rapidly evolving field and it is difficult to predict with certainty what the main trends will be in 2023. What is clear, however, is that AI will continue to impact many areas of our lives and is likely to bring significant advances and changes in upcoming years.
What other evidence is there for the evolution of AI?
For example, the article above was written by ChatGPT entirely on its own, with only one question posed, as the system can answer complex questions in a conversational dialogue way. In fact, we are talking about a language model that uses deep learning to produce human-like text.
As we can see, AI is evolving at an accelerating pace, so it will not be surprising if we see some real progress this year in the trends predicted above. Insofar as we can believe this about software that is also AI-based.
About author

Gáspár Sándor has been leading Stratis' artificial intelligence division since 2020, bringing over 20 years of experience in data science. Together with his team, he develops machine learning-powered decision support solutions for large enterprises, leveraging our clients' existing data assets. Additionally, he assists in automating our clients' existing processes using deep neural networks-based NLP and machine vision solutions.