Why study Artificial Intelligence (AI)

Artificial intelligence attempts to simulate the way a human mind works. AI is “human-like” behavior by a machine. Artificial Intelligence is the ability of machines to seemingly think for themselves. AI is demonstrated when a task, formerly performed by a human and thought of as requiring the ability to learn, reason and solve problems, can now be done by a machine. Example- an autonomous vehicle that is able to perceive its surroundings and make decisions in order to safely reach its destination with no human intervention It includes the use of robots or other machines and involves learning, reasoning and problem-solving. One of the aspects of AI is using a neural network, which is the mechanical equivalent of the neuron system in our brains. Another goal of the science, however, is to include the nuances and idiosyncrasies of human thought ( things like biases, faith and ethics) into the computational abilities of the computers.

Converging technologies along with Big Data and the Internet of Things (IoT) are driving the growth of AI and AI technologies. Machines communicate with one another and are now capable of advanced perception, capturing millions of data points in seconds, processing the information and making decisions, all in a matter of seconds. As AI evolves, machines will have more capability to physically act based on their intelligence, eventually leading to machines that can build better versions of themselves.

Working with artificial intelligence requires an analytical thought process and the ability to solve problems with cost-effective, efficient solutions. It requires foresight about technological innovations that translate to state-of-the-art programs that allow businesses to remain competitive. AI specialists need technical skills to design, maintain and repair technology and software programs, and ability translate highly technical information in ways that others can understand - good communication skills and team work.

If you love computer science, mathematics and data analysis, python programming, linear regression, then start learning about the applications of artificial neural networks to excel at AI. Programming is required to understand and develop solutions using Artificial Intelligence. AI-based algorithms are used to create solutions that can imitate a human closely. To device such algorithms, the usage of mathematics and programming is key. The top 5 languages that help with work in the field of AI are Python, LISP, Prolog, C++, and Java. These are the languages that provide the capability to drive solutions that can provide effective results when creating new features and functionalities in an Artificial Intelligence model. Python is one of the Langues that is preferred in the field of AI as it provides an extensive set of tools, frameworks, and libraries that help in the creation of these algorithms that drive AI systems. Portable languages such as Java will provide the usage of virtualization techniques that can be used to automate a lot of tasks that are involved in the development of an AI system.

Typical coursework involves study of:
Computer science, programming languages and coding
Math, including probability, statistics, algebra, calculus, logic and algorithms
Bayesian networking or graphical modeling, including neural nets
Physics, engineering and robotics
Cognitive science theory

AI finds application education, the arts, healthcare facilities, government agencies, military.
Industries like digital marketing and social media experts are relying on deep learning methods and AI algorithms to make business decisions and their business applications better. Examples of specific jobs held by AI professionals include:
Software analysts and developers
Computer scientists and computer engineers
Algorithm specialists
Research scientists and engineering consultants
Mechanical engineers, Manufacturing and Electrical engineer
Surgical technicians working with robotic tools
Medical professionals working with prosthetics, hearing aids and vision restoration devices
Military and aviation personnel working with flight simulators, and drones

  • Interactive AI: this is possibly the most recognizable type. It includes Siri and Amazon’s Alexa as well as other virtual assistants and also robots that vacuum floors and perform other activities, even to being a “chatbot” or virtual companion.
  • Text AI: this type of machine intelligence translates ideas between languages and turns text into words. It is used, for example, to give blind people access to social media and phone texting.
  • Functional AI: this is learning that scans for patterns and sentiments to provide solutions that are more like human interaction. This type of artificial intelligence can recognize a problem in the output data from a particular machine that signals a malfunction. The computer then can make the decision to shut down the malfunctioning machine. Another application is in risk assessment when a computer understands things like weather patterns, international politics and other factors to predict the risk of investments or possible damage from weather events.
  • Visual AI: this is the ability of the computer to “see” objects. That vision can be used to identify buildings and land masses, sort objects and perform other tasks. It also is the intelligence behind face recognition applications.