In 2019, IDC predicted that spending on AI technologies would increase to $97.9 billion by 2023. 

Artificial intelligence (AI) has been around for decades, but the last few years have been huge in terms of technological developments and innovations. In 2017, we saw the launch of several AI products with new AI technologies, including voice-activated devices such as Amazon Echo and smart speakers like Google Home and Apple HomePod.

The next five years will be just as full of new AI products, AI company, and services, not to mention innovations in existing areas like self-driving cars, medical diagnosis, language translation, and more.

In the next few years, scientists are expected to make some huge breakthroughs in artificial intelligence (AI) that will shake up how we interact with technology and each other on a daily basis.

Which top 9 AI technologies are trending in 2022?

Let’s discuss about these trends –

1) AI-Powered Bionics

Thanks to Bionics, one day soon, we’ll be able to throw our legs over a robotic horse and gallop like a cowboy. Or maybe play basketball with a bionic arm. Bionics will take on new roles and give us abilities we never dreamed possible. They’re already helping some people walk again; they’ll also help stroke victims, amputees, and injured athletes move as freely as possible.

2) Self-Driving Cars from Consumer Tech Giants

Self-driving cars are no longer a science-fiction dream. Several of today’s leading consumer tech companies are working on autonomous cars and putting major resources behind their efforts. Apple, Google, and Tesla may be late to the party, but their entry into self-driving vehicles is sure to accelerate progress in a market currently dominated by traditional automobile makers.

3) Intelligent Assistants Everywhere

In today’s mobile world and new AI trends, our most personal devices keep getting smarter and more powerful. In just a few years, we’ll have not just one but many personal assistants that are always with us, ready to answer questions and help us get things done. Instead of downloading apps or syncing across devices, these voice-controlled intelligent assistants will be everywhere and available to everyone and when they go, so do their creators.

4) Voice Interface

Voice interfaces are becoming more and more ubiquitous. In the coming years, we will see voice interfaces develop into powerful tools with a variety of practical applications that can help us take advantage of emerging technologies.

For instance, you might be able to control your lights at home simply by telling them to turn on or off. You could also use your voice to schedule meetings for work or buy clothes online without having to go through different steps on a website.

5) Universal Translator

In the next five years, advancements in machine translation will make it possible to translate text into a different language instantly and accurately. For example, it is estimated that Google Translate will be able to translate 20,000 words per second by the end of 2022. 

• Speech-to-Speech: Speech recognition software will understand conversational speech and what you say with your mouth closed or even just mouthing words. 
• Neural Networks: Neural networks have been shown to create new and original images, videos, music, and stories on their own. Scientists are now trying to teach neural networks how to learn independently from scratch without any human input or guidance.

6) Computer as an Expert Advisor

We’re entering the golden age of AI, with computers able to do more and more tasks on their own, from driving cars to diagnosing medical problems. This is thanks to deep learning algorithms that have been getting smarter over time. With companies like Google, Amazon and Apple investing heavily in AI research, we can only expect it to get better.

7) Computer Learning System

Neural networks use algorithms to identify patterns and make predictions about the future. One type of neural network is a feed-forward neural network, a mathematical model mimicking how neurons work in our brains. Feed-forward neural networks can be used for classification and prediction tasks, like recognizing human faces or predicting stock prices.

A new type of deep learning algorithm called Generative Adversarial Networks was recently developed by Google engineers and promises to revolutionize machine learning.

8) Object Recognition

Artificial intelligence is now so good that it can identify objects just by looking at them, even if the object has never been seen before. What’s more, the algorithm relies on artificial neural networks, which are modelled after biological neural networks. The system learns to identify new objects by analyzing old ones.

9) Bio/Nano Technology

Nano-scale robots called nanobots will be able to enter the human bloodstream and provide early detection of cancer cells. These nanobots will also be able to inject drug molecules into individual cancer cells, making them more responsive to chemotherapy drugs. This could potentially lead to a cure.

Conclusion

When we talk about machine learning vs AI, It’s difficult to predict what’s around the corner, but one thing is certain. There are plenty of interesting developments on tap for AI, from autonomous vehicles to full-on Robo-advisors. Also, look for more and better personal assistants that will continue to make life easier and smarter.