Artificial intelligence (AI) technology has made significant advancements in recent years, with generative AI dominating the innovations landscape. According to the 2023 Gartner Hype Cycle, AI innovations, particularly those related to generative AI, have transformative impacts. Generative AI is a type of AI that can create new content, such as text, images, and videos, by learning patterns from large datasets. In 2023, generative AI was used to create realistic virtual humans, develop AI-generated music, and even write news articles.
Some of the latest advancements in AI technology include multimodal AI, constitutional AI, and text-to-video AI. Multimodal AI is a type of AI that can process and analyze data from multiple sources, such as text, images, and audio. Constitutional AI, on the other hand, is a type of AI that is designed to operate within certain ethical and legal frameworks. Text-to-video AI, as the name suggests, is a type of AI that can convert text into video content. According to a report by McKinsey, generative AI tools have seen explosive growth in the past year, with one-third of survey respondents saying their organizations are using gen AI regularly in at least one business function.
One of the most significant advancements in AI in 2023 was the development of robotic sensors that incorporate AI techniques to read braille at speeds roughly double that of most humans. Additionally, Microsoft's aggressive investments in AI have propelled the company to become the world's most valuable. OpenAI's GPT-4, which was launched in 2023, was another significant advancement in AI technology. The model can generate remarkably convincing pieces of text, pictures, and videos with just a little prompting. Furthermore, the semiconductor industry is now using generative artificial intelligence to design chips, making the process more efficient and cost-effective.
The field of AI is rapidly evolving, and the latest trends for 2024 include custom enterprise models, open-source AI, and multimodal learning. Custom enterprise models are AI models that are tailored to meet the specific needs of an organization. Open-source AI, on the other hand, refers to AI software and tools that are freely available to the public. Multimodal learning is a type of AI that can process and analyze data from multiple sources, such as text, images, and audio. According to MIT Technology Review, 2024 will see AI models become even more creative, with AI-generated content becoming increasingly sophisticated. Additionally, the use of AI in healthcare, finance, and transportation is expected to grow significantly in the coming years.