The top 5 things to look out for in the future of AI over the next ten years have been compiled in this article. Technical advancements in this area will probably focus on AI Future: Top 5 Expectations for the Next 10 Years:
Transforming scientific methods with the help of artificial intelligence (AI) and machine learning (ML): Humans can only computationally investigate a finite set of ideas. A wider range of subjects can be covered by both humans and computers. Additionally, there is a far wider spectrum of concepts that AI and computers can effectively handle. Artificial intelligence offers an unmatched ability to analyze enormous data sets and computationally spot complex relationships and patterns. By augmenting human intelligence, AI has the potential to revolutionize scientific research and, in the coming years, usher in a new golden age of scientific discovery.
Major government investment in artificial intelligence: In order to maintain and boost the United States’ level of global competitiveness, Secretary of Defense of the United States Lloyd J. Austin III has publicly backed the necessity of working with innovative AI technology companies. According to specific recommendations made by the National Security Commission on Artificial Intelligence, the US government has to drastically speed up AI innovation.
Future consumer experiences WILL BE made possible BYAI: The metaverse and cryptocurrencies are examples of next-generation consumer experiences that have drawn a lot of interest. For these and similar experiences to be possible, AI will be essential. The metaverse is inherently a barrier for AI since humans lack the kind of awareness needed to overlay digital objects on actual physical settings or comprehend the range of human behaviours and their accompanying repercussions in a metaverse environment.
AI will be needed to address the climate crisis: To reduce the socioeconomic hazards brought on by climate change, society has a lot of work to do. Plans for carbon pricing, which are still in their infancy, are of questionable value. The use of AI-powered prediction markets to link policy to impact while taking into account the interconnection and broad scope of environmental knowledge is one potential new strategy. Digital twin Earth models, which would require enormous amounts of real-time data and computers to spot subtle patterns imperceptible to human senses, would undoubtedly be the driving force behind this. Prior to the implementation of AI-powered risk modelling, downstream effect prediction, and the capability to forecast unexpected outcomes, other paradigm-shifting technologies, such as carbon dioxide sequestration, will fail.
Personalized medicine: Personalized medicine has been a goal ever before the human DNA was sequenced, and AI will make it possible. Unfortunately, it still exists just as a dream. The creation of custom drugs for patients is an intriguing new use of AI. Clinical trials are unnecessary since AI can synthesize and foresee personalized treatment methods in almost real-time. To put it another way, AI is perfectly suited to building and analyzing digital twin rubrics of human biology in the context of the communities in which those individuals reside. The complexity of the human body is astounding, yet our understanding of how drugs work is shockingly limited.
