The "AI Winter" refers to a period in the history of artificial intelligence (AI) when interest and investment in AI declined significantly due to a series of failures and limitations in the research and development of AI systems.
The term "winter" refers to an extended period of time in which AI research and development suffered a significant setback, leading to a decline in funding and investment in research in the field.
The first "AI Winter" occurred in the 1970s, when AI had boomed in the previous decade, but the technology failed to live up to expectations. This led to a decline in investment and interest in AI until the 1990s, when the rise of the web and the increase in computer processing power revived interest in AI.
Since then, there have been occasional concerns about the possibility of a new "AI Winter", as AI remains an evolving technology with many challenges and limitations. However, AI has continued to advance and today is in use in a wide variety of practical applications in many different industries.
Industry 4.0 or the Fourth Industrial Revolution is based on the integration of digital technologies in the production and processing of goods and services.
Read More »If we look at them separately, the Internet of Things (IoT) and Artificial Intelligence (AI) are powerful technologies and if we combine them, we get a [...]
Read More »The world is experiencing exponential growth in data generation on an ever-increasing scale. According to IDC (International Data Corp.
Read More »The term artificial intelligence (AI) is nowadays, but it was invented in 1956 by John McCarthy, Marvin Minsky and Claude Shannon in the famous [...]
Read More »
