Within the past decade, there has been a worldwide boom in research and participation in artificial intelligence. Consistent research and development have been influenced by worldwide interest and are driving causes in the continued use and advancement of this technology.
Another key factor in recent advancements in AI is the availability of information. AI is an industry in which many of its publications are open source, meaning that researchers publicly share their findings. Developers can thus use any open-source library to produce their own “state-of-the-art” AI applications, and as a result, building machines has become more accessible.
Since 2015, the increase in the use of machine learning has resulted in the number of publications related to pattern recognition more than doubling. GPT-3, the AI that my company uses to generate customer-specific ads, uses machine learning to take in input text and generate large volumes of whatever prompt it receives. In the continued development of technology, AI repositories have promoted the publication of pre-peer-reviewed papers, helping researchers share their findings with others before sending in the final version.
According to the Artificial Intelligence Index Report 2022 from Stanford University, within the past 12 years, AI repository publications increased by 30 times and now consist of over 15% of all repository publications (pg. 32), and from 2010 to 2021, the number of AI publications has increased from 162,444 to 334,497 (pg. 17). To supplement the increased interest in AI, there has also been an influx of participation in AI. Within the past 10 years, the number of people who attended the biggest AI conferences each year went from about 10,000 to around 90,000, which is a strong indicator of the overall increase in industrial and academic interest in AI (pg. 41).
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2022/07/14/how-ai-regulations-are-shaping-its-current-and-future-use/?sh=615e16c63d40
Another key factor in recent advancements in AI is the availability of information. AI is an industry in which many of its publications are open source, meaning that researchers publicly share their findings. Developers can thus use any open-source library to produce their own “state-of-the-art” AI applications, and as a result, building machines has become more accessible.
Since 2015, the increase in the use of machine learning has resulted in the number of publications related to pattern recognition more than doubling. GPT-3, the AI that my company uses to generate customer-specific ads, uses machine learning to take in input text and generate large volumes of whatever prompt it receives. In the continued development of technology, AI repositories have promoted the publication of pre-peer-reviewed papers, helping researchers share their findings with others before sending in the final version.
According to the Artificial Intelligence Index Report 2022 from Stanford University, within the past 12 years, AI repository publications increased by 30 times and now consist of over 15% of all repository publications (pg. 32), and from 2010 to 2021, the number of AI publications has increased from 162,444 to 334,497 (pg. 17). To supplement the increased interest in AI, there has also been an influx of participation in AI. Within the past 10 years, the number of people who attended the biggest AI conferences each year went from about 10,000 to around 90,000, which is a strong indicator of the overall increase in industrial and academic interest in AI (pg. 41).
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2022/07/14/how-ai-regulations-are-shaping-its-current-and-future-use/?sh=615e16c63d40
