How AI Change the world

 

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Photo by TheDigitalArtist on Pixabay

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The artificial intelligence (AI) industry is making a strong push in the face of the rising popularity of Machine Learning and Big Data. AI is being used increasingly to understand human behavior and make recommendations on how to improve human lives. This can be done at scale, meaning AI can take on the role of a computer without taking on the role of a single human. There are many applications in which AI will be used beyond simply improving the performance of computers. For example, automated cleaning services would become cheaper, more streamlined and more enjoyable by automating certain tasks so that only humans are hired to look after the property owners. Here are 5 things you need to know about AI and its impact on society.

AI is here, and it’s getting better

AI has been around for less than a decade, but it has a track record of finding new uses for technologies in an expanding range of fields. By 2011, AI was being used to solve remote-sensing problems, predicting weather events and accounting for human-induced weather patterns. By then, most companies had begun to realize the benefits of AI in their own work. In the last two years alone, Google, Facebook and Amazon have invested more than $1 billion in AI initiatives. The investment was mostly funded by venture capitalists and large technology companies, including Google, Facebook and Amazon, as well as startups. The funding follows months of expensive experiments and reviews to determine the viability of existing AI technologies.

AI is taking over jobs

The pace of technology change has been extraordinary in the AI industry. In the last few years alone, we’ve seen the advent of big data-driven AI, neural networks and other New Age technologies. These technologies are being used to solve specific problems, such as in machine learning, predicting weather patterns and accounting for human-induced weather. Furthermore, we’ve also seen an increase in the adoption of AI in other roles, such as finance where AI is being used to make financial forecasts and to aid in real-time decision making. These advancements have been accompanied by the development of new AI language technologies. By translating data into language and adding new keywords, phrases and concepts, AI is able to understand the data and make human-like suggestions and decisions.

There is a need for self-driven algorithms

One of the most significant developments in AI in the last decade has been the widespread adoption of Deep Learning. This technology can be used to model massive quantities of data, and it is therefore able to understand much more than just one block of data. For example, an AI system can understand the functions of multiple proteins and be able to predict the results of multiple experiments. Deep Learning has also made possible the development of self-driven algorithms that can generate models that are more accurate and powerful than those built with conventional algorithms. For example, a machine learning algorithm can be trained to learn to perform certain tasks, but it can’t be tailored to happen upon specific examples. A self-driven algorithm can therefore generate better results.

AI can improve people's lives

One of the most impactful developments in AI has been the rapid increase in acknowledgment and understanding amongst the public as to the benefits of AI and its potential for people’s lives. Organizations such as Google and Facebook have been moving rapidly to incorporate AI into their products and services. In a recent survey, one in five people said they were very or extremely interested in using AI in their everyday life, and one in five said they would be interested in using AI in their business. By providing more accurate and helpful forecasts, by accurately predicting weather events and by accounting for human-induced weather patterns, AI can improve people’s lives. AI can also be used to automate certain functions, such as machine learning, which can reduce the amount of manual work that goes on in those areas where humans are necessary, such as during identification and booking of attendances at concerts. AI can also be used to automate more complex tasks, such as machine learning, which allows AI systems to learn from increasingly rare data and provide more accurate results.

AI can make language more human-like

Another significant development in AI has been the development of Language Understanding and Outputting (LUI/O). This technology enables AI systems to understand human language, enabling them to generate appropriate and useful results. In one study, researchers programmed computers to understand human speech, but then fed them computer generated words. The computers then had to remember these words and produce sentences using human-like grammar. Next, they were fed phrases representing words, and the computers generated sentences from the phrases. AI with LUI/O can also be used to understand human language in other ways. For example, it can be used to generate natural language content, such as when someone speaks to you in English and you are speaking to them in Spanish.

Conclusion

AI has been around for less than a decade, but it has become a crucial player in many fields of technology. It has a track record of finding new uses for technologies in an expanding range of fields. By 2011, AI was being used to solve remote-sensing problems, predict weather events and adequately account for human-induced weather patterns. There is a need for self-driven algorithms, such as in Deep Learning, to generate more accurate and powerful models. Achieving these goals requires the adoption of AI in a large scale fashion. This industry has been pushing the boundaries of AI with several investment rounds, including those of Google and Facebook. The investment in AI is an important next step forward in AI, and it can make life easier for humans as well as robots. For more information, read AI is here.