What is Artificial Intelligence (AI)?

The applications and technologies of artificial intelligence have increased dramatically in the past few years. Here are some examples of common AI technologies you may have encountered.

In his 1950 paper, "Computing Machinery and Intelligence," Alan Turing studied whether machines could think. In this paper, Turing first coined the term artificial intelligence and presented it as a theoretical and philosophical concept. However, AI, as we know it today, is the result of the collective effort of many scientists and engineers over several decades.

In 1943, Warren McCulloch and Walter Pitts proposed a model of artificial neurons, laying the foundation for neural networks, the core technology within artificial intelligence.

Then quickly, in 1950, Alan Turing published "Computering Machines and Intelligence," introducing the Turing Test concept to evaluate machine intelligence.

This led to graduate students Marvin Minsky and Dean Edmonds building the first neural network machine known as SNARC, Frank Rosenblatt developed Perceptron, one of the oldest models of the neural network, and Joseph Weizenbaum created ELIZA; one of the first chatbots to emulate a Roger psychotherapist between 1951 and 1969.

From 1969 until 1979, Marvin Minsky showed the limitations of neural networks, causing a temporary decline in neural network research. The Artificial Intelligence Depression The first is due to low funding, hardware and computing constraints.

Artificial Intelligence in the Future

All current AI technologies operate within a set of predefined parameters. For example, AI models do not create websites if they are trained to recognize and generate images.

Artificial General Intelligence (AGI) is a theoretical research field on artificial intelligence that attempts to create a human-like intelligent program and the ability to self-educate. The goal is for the program to be able to perform tasks that have not necessarily been trained or developed.

General AI is a theoretical endeavor to develop AI systems with self-control, reasonable self-understanding and the ability to learn new skills. It can solve complex problems in environments and contexts that were not taught when they were created. Artificial general intelligence with human capabilities remains a theoretical concept and research goal. It's one of the potential future of artificial intelligence.

Conversation robots and smart assistants

AI-powered chatbots and intelligent assistants engage in more complex and human-like conversations. They can understand context and generate coherent responses to complex natural language and customer inquiries. They excel at customer support, virtual assistance, and content creation to provide personalized interactions. The continuous learning ability of these models allows them to adapt and improve their performance over time, enhancing user experience and efficiency.

For example, Deriv, one of the world's largest internet brokers, has faced challenges in accessing vast amounts of data distributed across different platforms. It has implemented an AI-powered assistant to retrieve and process data from multiple sources through customer support, marketing and recruitment. Using artificial intelligence, Deriv reduced the time it takes to qualify new employees by 45 percent and reduced hiring time by 50 percent.

Advantages of Business Artificial Intelligence

Your organization can integrate AI capabilities to improve your business processes, improve customer experiences, and accelerate innovation.

What is the difference between machine learning, deep learning and artificial intelligence?

Artificial intelligence (AI) is an umbrella term for different strategies and technologies to make machines more human-like. It includes everything from self-driving cars to automated vacuum cleaners and smart assistants like Alexa. 

While machine learning and deep learning fall under the umbrella of artificial intelligence, not all AI activities are machine learning and deep learning. Generative AI, for example, demonstrates human-like creative abilities which is a very advanced form of deep learning.