A clear understanding of Artificial Intelligence does not transcend our present activities. Minsky and McCarthy, during their time in the 1950s, had described artificial intelligence as the tasks that are operated by a machine, which if a human were to perform would have to apply intelligence.
In simpler words, artificial intelligence is the intelligence of the machines unlike the natural intelligence of its inventor.
In the language of computer science, AI could be defined as the mimicry of cognitive functions that humans identify with “problem-solving” or the “mill of the mind”.
However, do not be duped into thinking that AI is limited to practical observations. Science has established that artificial intelligence is capable of demonstrating perception, knowledge presentation, manipulation, motion and even social intelligence.
How wide can artificial intelligence orbit?
The extent of artificial intelligence is a controversial subject today. Modern times are naming AI has whatever that “hasn’t been done yet”.
This is evident in the exclusion of optical character intelligence from under the category of artificial intelligence implying that AI is strictly associated with future inventions.
The technology that is yet to be optimised includes recognition of human speech, decoding complex data, military simulation, performing strategic computerized games, etc.
Therefore, these capabilities are currently classified under artificial intelligence.
History of artificial intelligence
Although people generally identify artificial intelligence with the future, the idea of insentient things being intelligent has been around for some time.
It dates back to as far as the ancient Greeks when they had myths about automation. Even Chinese and Egyptian evidence show traces of AI indulgence.
The following years have presented new approaches, ideas and recommenced funding due to which AI saw itself to be further divided into several subcategories.
Among the traditional goals of artificial intelligence, the most popular ones are reasoning, planning, movability, language processing and social intelligence.
At a press conference in Dartmouth College where AI was born, a path was paved for the future.
Naturally, in the coming years, people witnessed AI equipped with tools like neural networks, statistics, economics, mathematics and probabilities.
Since the rudiments of AI is to make machines intelligent, simulating intelligence has been classified into further categories for better operation.
Each of these categories demonstrates unique traits that help scientists progress in their fields.
Narrow AI and General AI
The two most refined versions of artificial intelligence are Narrow AI and General AI.
The name itself suggests that Narrow AI is designed to perform tasks that are more specific. This implies that Narrow AI are intelligent systems that are programmed to perform specific tasks without the need for intrinsic coding.
For instance, interpreting audio-visual feeds, organising personal or business schedule, automated customer service assistance, etc., fall under the category of Narrow AI.
Artificial general intelligence, unlike Narrow AI, includes the capability of understanding a vast scope of activities. This AI is looked upon as a form of human intelligence as is shown in many popular movies like ‘Ex Machina’, ‘The Terminator’, and ‘2001: A Space Odyssey’.
What does AI research amount to?
AI research by the end of the 1990s had started dealing with incomplete or improbable information based on economics and probability.
Based on the formed concept of the early researchers who had mimicked algorithms of human minds when they perform logical thinking, science gradually focused on knowledge engineering and representation.
In other words, understanding that humans rely more on their intuitive judgements while solving problems than using a step-by-step mathematical verification, AI research progressed.
Can Microsoft contribute to the treatment of cancer?
In the medical field, the current most threatening mortal disease is cancer. Fortunately, the impact of AI has reached even the healthcare industry as Bloomberg Technology stated that Microsoft has created AI that could assist doctors in finding effective treatments for cancer.
The longevity of living without a cure for cancer has given scope for various treatments and medications to come into existence.
Currently, there are more than 800 medicines available for the disease, which makes it harder for doctors to choose the right one.
“Hanover” is an artificially intelligent machine developed by Microsoft, which studies the medical record of a cancer patient.
Consequently, the machine is capable of prescribing the correct combination of drugs and treatment for the particular patient relieving a great burden on the healthcare industry. Since a machine performs it, the scope of human error is negligible.