Top 7 Artificial Intelligence Characteristics with Examples
“Our intelligence is what makes us human, and AI is an extension of that quality.” – Yann LeCun
Artificial Intelligence, in the current times, is at such a stage that you can either be excited about it, or can be wary about what reskilling do you need to undergo to adapt to this change, but it is just impossible to ignore it.
Before delving deep into the Artificial Intelligence characteristics, let’s first understand what Artificial Intelligence stands for:
What is AI?
In the most basic sense, Artificial intelligence (AI) is a tool that makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. While the hype created around this technology is tremendous and unwarranted for as it is still in its early stages, But, AI has evolved to provide specific features including:
Artificial Intelligence Characteristics
1. Deep Learning
Deep learning is a machine learning technique that teaches computers to do what comes naturally to humans, to learn by example.
Innumerable developers are leveraging the latest deep learning innovative technologies to take their business to the new high. There are large numbers of fields of Artificial Intelligence technology like autonomous vehicles, computer vision, automatic text generation and the like, where the scope and use of deep learning are increasing.
Take an example of Self Driving feature in cars like Tesla(Autopilot), where Deep learning is a key technology behind enabling them to recognize a stop sign or to distinguish a pedestrian from a lamppost.
2. Facial Recognition
Artificial Intelligence has made it possible to recognize individual faces using biometric mapping. This has lead to pathbreaking advancements in surveillance technologies. However, this has also faced a lot of criticism for breach of privacy.
For example, ClearView AI, an American technology company, offers surveillance technology for law agencies to monitor entire cities with a network of CCTV Cameras exactly assigning each and every citizen with their Social Credit Score in real-time.
3. Automate Simple and Repetitive Tasks
AI has the ability to execute the same kind of work over and over again without breaking a sweat. To understand this feature better, let’s take an example of Siri, a voice-enabled assistant created by Apple Inc. It can handle so many commands in a single day!
From asking to take up notes for a brief, to rescheduling the calendar for a meeting, to guiding us through the streets with navigation, the assistant has it all covered. Earlier, all of these activities had to be done manually which used to take up a lot of time and effort. The automation would not only lead to increased efficiencies but also result in lower overhead costs and in some cases a safer work environment.
4. Data Ingestion
With every passing day, the data that we are all producing is growing exponentially, which is where AI steps in. Instead of manually feeding this data, AI-enabled not just gather this data but also analyzes it with the help of its previous experiences. AI, with the help of neural networks, analyzes a large amount of such data and helps in providing a logical inference out of it.
Chatbots are software to provide a window for solving customer problems’ through either audio or textual input. Earlier the bots used to respond only to specific commands. If you say the wrong thing, it didn’t know what you meant. The bot was only as smart as it was programmed to be.
The real change came when these chatbots were enabled artificial intelligence. Now, you don’t have to be ridiculously specific when you are talking to the chatbot. It understands language, not just commands.
For example, Watson Assistant, an AI-powered assistant, developed by IBM which can run across various channels like websites, messengers, and apps and requires zero human intervention once programmed.
There are a lot of companies that have moved on from voice process executives to chatbots to help customers solve their problems. The chatbots not only offer services revolving around issues that the customers face but also provides product suggestions to the users. All this, just because of AI.
6. Quantum Computing
AI is helping solve complex quantum physics problems with the accuracy of supercomputers with the help of quantum neural networks. This can lead to path-breaking developments in the near future. For example, A pioneer in this field is Google AI Quantum whose objective is to develop superconducting qubit processors and quantum assisted optimization for varied applications.
7. Cloud Computing
Next Artificial Intelligence characteristics is Cloud Computing. With such a huge amount of data being churned out every day, data storage in a physical form would have been a major problem. However, the advent of Cloud Computing has saved us from such worries. Microsoft Azure is one of the prominent players in the cloud computing industry. It offers to deploy your own machine learning models to your data stored in cloud servers without any lock-in.
Finally, we have seen that AI is a window to our future while living in our present. Its uses across domains are innumerable. As we learn artificial intelligence characteristics and how to use it more effectively, the dynamics of our work and our workplaces are going to change forever. There are so many pages still to be unfolded, but all this while what we can say for AI for sure is, “The fun has just begun”.
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