2022 will be a crucial year as we witness artificial intelligence (AI) and machine learning (ML) continue to stride along the path to turning themselves into the most disruptive yet transformative technology ever developed. AI and ML Trends 2022.
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Google CEO Sundar Pichai said that the impact of AI would be even more significant than that of fire or electricity on the development of humans as a species. It may be an ambitious claim, but AI’s potential is very clear from the way it has been used to explore space, tackle climate change, and develop cancer treatments.
Now, it may be difficult to imagine the impact of machines making faster and more accurate decisions than humans, but one thing is certain: In 2022, new trends and breakthroughs will continue to emerge and push the boundaries of AI and ML.
Here are the top eight AI and ML trends to watch out for in 2022.
1. An Efficient Workforce
Since the advent of AI and ML, there have always been fears and concerns regarding these disruptive technologies that will replace human workers and even make some jobs obsolete. However, as businesses began to incorporate these technologies and to bring AI/ML literacy within their teams, they noticed that working alongside machines with smarter cognitive functionality, in fact, boosted employees’ abilities and skills.
For instance, in marketing, businesses are already using AI/ML tools to help them zero in on potential leads and the business value they can expect from potential customers. Furthermore, in engineering, AI and ML tools allow predictive maintenance, an ability to predict and inform the service and repair requirements of enterprise equipment. Moreover, AI/ML technology is widely used in fields of knowledge, such as law, to peruse ever-increasing amounts of data and find the right information for a specific task.
2. Natural Language Processing (NLP)
NLP is currently one of the most used AI technologies. This technology significantly reduces the necessity for typing or interacting with a screen as machines began to comprehend human languages, and we can now simply talk with them. In addition, AI-powered devices can now turn natural human languages into computer codes that can run applications and programs.
The release of GPT-3—the most advanced and largest NLP model ever created—by OpenAI is a big step in language processing. It consists of around 175 billion ‘parameters’—data points and variables that machines use for language processing. Now, OpenAI is developing GPT-4, a more powerful successor of GPT-3. Speculations reveal that GPT-4 may contain roughly 100 trillion parameters, making it 500 times larger than GPT-3. This development is literally a bigger step closer to creating machines that can develop language and engage in conversations that are indistinguishable from those of a human.
Some of the NLP technologies expected to grow in popularity are sentiment analysis, process description, machine translation, automatic video caption creation, and chatbots.
3. Enhanced Cybersecurity
Recently, the World Economic Forum stated that cybercrime poses a more significant threat to society than terrorism. When more intelligent yet complex machines connected to a vast network take control of every aspect of our lives, cybercrimes become rampant, and cybersecurity solutions become complex. […]
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