Understanding Artificial Intelligence: An emerging future of devices & humans
Artificial Intelligence (AI) is the imitation of human intelligence in devices that are automated to think and act like humans. AI gives machines human-like attributes such as learning, problem-solving, and the ability to take action. Some of the most striking examples of AI are:
• Self-driving Cars
• Manufacturing Robots
• Proactive Healthcare Management
• Smart Assistants
• Virtual Travel Booking Agent
• Disease Mapping
• Social Media Monitoring
• Automated Financial Investing
• Online Banking
Machine Learning is an application and a subset of AI, that makes the systems to have capabilities of automatic learning and improving through experiences with no explicit programming.
Advantages of AI Technology
Since Artificial Intelligence has pushed the boundaries of machine-added functionalities, it enabled the machines to act somewhat independently which has resulted in the effective execution of frequentative tasks. It also creates a next-generation workplace that facilitates the seamless collaboration between individuals and enterprise systems. With that said, it doesn’t mean that with AI Technology, the human resource has become obsolete; rather their efforts are further strengthened by this emerging technology. In addition to that, AI has made it possible for organizations to free up some resources for top-tier tasks.
Some of the primary advantages of Artificial Intelligence (AI) are mentioned below:
Less Time, More Work:
Since AI aids multitasking and shares workload for any existing resource, it slashes down the time required to perform the complex tasks.
Cost-Effectiveness:
Without any significant cost expenditures, AI Technology executes those tasks that were considered as complex tasks until now.
Non-Stop Operation:
The AI Technology has let off any downtimes and breaks while operating non-stop for 24/7, without any interruption.
Help People with Impairments:
The AI-assisted technologies have facilitated the handicapped and differently-abled individuals a great deal by augmenting their abilities to perform simple tasks. For instance, self-driving cars are one of the most frequently discussed AI-assisted technologies in regards to helping individuals with disabilities.
Mass-Market Potential:
The AI-assisted technologies can be deployed across multiple industries since they have mass-market potential.
Decision-Making Ability:
By making processes smarter and faster, AI-assisted technologies are thoroughly facilitating the decision-making process.
Educational Benefits:
Expert Systems are widely used in AI-assisted technologies such as spell checkers, spell correctors, and grammar checkers. All of them act as a proofreader by pointing out mistakes and giving suggestions. Therefore, this technology helps reduce errors, saves labor costs, and gives maximum results in minimum time.
Robotics:
With AI-assisted technologies, robots are being programmed to perform repetitive tasks to increase productivity. For instance, the unique bomb-defusing feature of robots has eliminated the danger exposed to laborers before.
Emotion AI:
How was the last advertisement you watched on TV? Was it confusing? Funny? Actionable? Would you buy that product? It is possible for you to forget about that commercial altogether but not for the AI machines, since the latest AI technologies can learn and recognize human emotions as well as use that knowledge to boost marketing campaigns. Such AI-assisted technologies are known as “Emotion AI”.
Technologies Used in Artificial Intelligence (AI):
Some of the few striking technologies used in Artificial Intelligence are listed below:
1. Speech Recognition
This technology is being used to convert human speech into a comprehensive and useful format for computer apps. to process. One of the best examples of speech recognition technology is the Siri App that learns and interacts with the human language by mobile applications.
2. Natural Language Generation (NLP)
Artificial Intelligence (AI) transforms data into a readable form, allowing the system to communicate thoughts and ideas with as much clarity as possible. Natural Language Generation Technology is widely used in customer service to create reports as well as market summaries.
3. Machine Learning Platforms
Machine Learning is one significant branch of AI. Its goal is to create new techniques that makes computers capable of learning and becoming more intelligent. These platforms are becoming more popular every passing day with the help of APIs (application programming interface), algorithms, training tools, development, and big data and applications. These platforms are widely employed for prediction and categorization. In addition to that, they are extremely helpful in digital marketing. The most popular companies that sell machine learning platforms include Amazon, Google, Ad text, Skytree, and more.
4. Virtual Agents
A virtual agent is a computer program that can effectively interact with humans. The most familiar example of a virtual agent is the Chatbot.
5. Decision Management
AI machines are capable of introducing logic to AI systems for making them useful for tuning, training, and maintenance. Decision Management is used by enterprises to execute automated decisions effectively.
6. AI Optimized Hardware
In this technique, the new processing units and graphics are designed to perform AI-oriented tasks.
7. Biometrics
Biometric technology has proved to be extremely useful by fostering organic interaction between humans and machines since it works with speech, body language, image, and touch.
8. Deep Learning Platform
This is a type of machine learning that replicates the neural circuits of a human brain for processing data and creating patterns to make decisions. This technology finds its application in pattern recognition and classification for large-scale data. Some of its applications are image recognition, prediction, and speech recognition.
9. Natural Language Processing (NLP)
Natural Language Processing emphasis the interaction between computers and human languages. It employs text analytics to evaluate the sentence structure, their intention, and interpretation via machine learning. NLP is widely adopted in security systems and fraud detection.
10.Cyber Defense
Cyber Defense Technology acts as a defense mechanism and firewall to protect the information and infrastructure of organizations. It detects, prevents, and provides instant support to combat the threats to the infrastructure of the systems. Neural networks and machine learning techniques are used to detect cyber threats and suspicious user activity.
Final Takeaway
The AI-assisted machines serve as a time-saver since they go beyond human competencies, allowing individuals to invest their time and efforts in other important tasks. The field of AI is still emerging and many more inventions replicating human capabilities are on their way!