The Top Artificial Intelligence Trends to Expect in 2022
Not only was 2021 a watershed moment for fundamental artificial intelligence (AI) skills like natural language modeling and self-supervised learning (SSL), but it was also a watershed moment for scientific breakthroughs like Protein structure prediction and development tools like Copilot.
These astounding discoveries raised AI’s expectations and piqued people’s interest in the field’s future trends and advancements. As a result, this article will focus on some of the most important upcoming advances in AI that are poised to make it more powerful and effective
Here are some trends to keep an eye on and consider implementing into your work:
Language modeling gains more importance.
Speech recognition, machine translation, handwriting recognition, question answering, and information retrieval all use language modeling to understand and generate natural languages. Now that OpenAI is working on GPT-4 and other large corporations are developing their own more powerful language models, 2022 should see more breakthroughs in language modeling and applications such as autonomous program development.
Image Modeling using SSL
Large-scale text data’s SSL capabilities have improved so much in the previous year that we can now learn complicated tasks like machine translation, text classification, question answering, and many others from a small number of tagged instances. Although this field advanced in 2021, it still lags behind text data in terms of maturity. We may expect some progress in this area because so many research groups are working on it.
AI that speaks to you
Conversational AI is a type of technology that enables speech-based interaction between users and platforms, with the goal of improving user engagement at scale. Its development necessitates the use of speech recognition, speech synthesis, natural language processing, and machine learning utilities. We should expect to see progress in these areas as the need for conversational AI systems grows.
Business Applications of Computer Vision Technology
Computer vision is a discipline of AI that deals with enabling machines to understand and interpret images and videos, and it is the most desired investment among enterprises that have previously invested in AI. Machine learning algorithms in AI are typically trained on photographs in order to spot patterns and identify and classify things
Productivity of Developers
AI will assist programmers and developers be more productive this year, in addition to enhancing algorithmic capabilities. In recent years, AI has been utilized in products such as Amazon Code Guru to assist developers in improving the quality of their code and identifying their most expensive lines of code. Copilot, a tool to assist engineers in designing efficient code, was created in collaboration with Github and OpenAI. Salesforce just introduced the CodeT5 project to help Apex developers with coding.
Conclusion
In the field of artificial intelligence, there have been some tremendous achievements in recent years. Corporations and the developers who work for them are ready to lead similarly impressive advancements in 2022 as a result of them.
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