7 Fascinating AI Technologies You Need to Know

Do you ever wonder why Artificial Intelligence (AI) suddenly gained unlimited attention in just a few years? Or what is so fascinating about AI technologies?

AI has played a pivotal role in technological advancement in recent years. AI has been used in just a few sectors such as education, scientific discovery, medical diagnosis, video games, stock trading, etc.

We all have seen some astonishing achievements in AI technologies in the 21st century, such as text production, speech recognition, natural language processing, drug development, language translation, etc.

So, in today’s blog, we will shed light on the 7 Fascinating AI Technologies You Need to Know. So, without any further delay, let’s get started!!

What is AI (Artificial Intelligence)?

The term AI (Artificial Intelligence) was first coined by a young scientist John McCarthy at a summer conference named “Artificial Intelligence” at Dartmouth University in 1965.

However, the potential use of AI came into existence in the first decade of the 21^st century and it was successfully applied in a wide range of fields such as industries and academics to solve their problems. All the credit goes to powerful computer hardware, innovative approaches, and massive data accumulation. AI is a computer field that is developed gradually. It uses machines, mainly computer systems to stimulate human intellectual processes.

Also read: The Impact of Artificial Intelligence (AI) on the future work

How does AI work?

AI analyzes and ingests a huge volume of trained and labeled data for patterns and correlations to predict future events. For instance, a chatbot can mimic a real-time human conversation when fed up with text chat examples.

The algorithm and data are converted into usable information and then transferred into the AI programs and the algorithm helps the software in choosing the correct data for a desired result. AI algorithms are programmed in such a way that they will learn from new and well-tuned data on their own regularly and deliver accurate results.

7 Fascinating AI Technologies You Need to Know

These are the 7 fascinating AI technologies you need to know:

1.Speech recognition

Speech recognition is a crucial subset of AI (Artificial Intelligence). Speech recognition AI technology human speech into an understandable and useful format for computers. It can act as a bridge between computer and human interactions. This AI technology can simply convert human speech into several languages. One of the classic examples of speech recognition AI technology is the iPhone’s Siri.

2.Driverless car

Driverless cars or other popular names for them such as autonomous or self-driving cars can drive without human assistance as their name suggests. The AI algorithm used in it uses a combination of radars, cameras, AI, and sensors to achieve this task.

Self-driving cars by Google Waymo: Alphabet Inc. is the owner of WaymoLLC. It is the first company to deliver driverless cars to the common public and their services are currently accessible in a few American states.

Tesla Autopilot: Tesla Company is owned by X’s (Formerly known as Twitter) CEO Elon Musk and it comes with a collection of ADAS (advanced driver-assistance system). Some of the prominent features of the driverless car are traffic-aware cruise control, automatic lane change, self-parking, lane entering, etc.

3.Natural language generation

Machines use a completely different method for communication in comparison with a human brain. Natural language generation is one of the trendy AI technologies that changes structured data into native languages. These machines are programmed in such a way that they can convert data into a user-friendly format. This automated content can be used by content developers to promote on different social media platforms to reach the targeted demography. This will significantly reduce human intervention as the data will be directly converted into the desired format.

4.Machine learning

Machine learning is also an important division of AI (Artificial Intelligence) that helps machines generate sensible data sets without being actually programmed. Businesses use machine learning AI technology for making informed decisions with data analytics using statistical models and algorithms. Many enterprises are heavily investing in machine learning AI technology to reap its benefits in multiple domains. The healthcare field also uses machine learning for the effective treatment of a patient and analysis of patient data for disease prediction. It is also used in the banking and finance sector for learning customer data analysis and minimizing the risk of fraud.

5.Deep learning platforms

Deep learning is one of the branches of Artificial Intelligence that functions on artificial neural networks. This technique teaches machines and computers to learn human mannerisms. The word “deep” in deep learning actually stands for neural network hidden layers. Typically, a neural network has a minimum of 2-3 layers and a maximum of 150 hidden layers. Deep learning is an effective method for huge data a graphic processing unit or training a model. This algorithm uses hierarchy to automate predictive analysis. Deep learning is extensively used in domains like military and aerospace to detect objects from satellites that help in enhancing work safety by detecting risk incidents and it also helps in detecting cancer cells.

6.Virtual agents

Virtual agents are a valuable tool for instructional designers. It is an application that interacts with humans. Many websites and mobile apps provide chatbots as customer services to answer human queries. Some popular examples of virtual agents are Google Assistant and Alexa. Virtual assistance can be used as a language assistant and software-as-a-service as well.

7.Robotic process automation

RPA is a digital wizard that can automate repetitive tasks with ease. It’s like having a magical assistant that can follow your instructions perfectly, never gets tired, and never makes mistakes. RPA is already being used by businesses of all sizes to automate a wide range of tasks, such as customer service, data entry, and financial processing. It’s a powerful tool that can help businesses save time, money, and improve efficiency.

Also read: 5 best AI tools for Digital Marketers

Conclusion

Talk about AI has been relevant since the late 50s and now we made such groundbreaking progress in the development of Artificial Intelligence. Now, we are all using AI technologies in our daily lives unknowingly. So, it is easy to say that these AI technologies have significantly impact humanity and will continue to do so in the future as well.

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