WHAT IS THE DIFFERENCE BETWEEN ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING Artificial intelligence (AI), the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings. The term is frequently applied to the project of developing systems endowed with the intellectual processes characteristic of humans, such as the ability to reason, discover meaning, generalize, or learn from past experience. Since the development of the digital computer in the 1940s, it has been demonstrated that computers can be programmed to carry out very complex tasks--as, for example, discovering proofs for mathematical theorems or playing chess--with great proficiency. Still, despite continuing advances in computer processing speed and memory capacity, there are as yet no programs that can match human flexibility over wider domains or in tasks requiring much everyday knowledge. On the other hand, some programs have attained the performance levels of human experts and professionals in performing certain specific tasks, so that artificial intelligence in this limited sense is found in applications as diverse as medical diagnosis, computer search engines, and voice or handwriting recognition.
In my last blog, I discussed how digital complacency could put your business at risk and how technological change is fast outpacing businesses ability to adapt. This trend continues its relentless pursuit to consume those whom choose to answer today's questions with yesterday's thinking. Furthermore, as we move into 2017 yet another transformational technology is redefining the industry and it has the potential to change everything. Machine Learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning focuses on the development of computer programs that can teach themselves to grow and change when exposed to new data.
In our ever-advancing technological world, it's easy to get lost in the sea of terminology. Understanding these words and phrases is essential for business coverage since AI is everywhere. This post will explain the difference between four computing terms: artificial intelligence, neural networks, machine learning and deep learning. A note before we start: These definitions are drastically simplified to understand the basics. Perhaps one of the most used and least understood phrases in recent years, artificial intelligence, or AI, is a sort of blanket term.
While AI and machine learning have made major improvements and advancements to computers, common sense in AI has proven to be a significant challenge. Artificial intelligence has come a long way since the term was first coined in 1956. Today, we have computers that can carry out complex tasks, vehicles that can operate autonomously and computers that can recognize objects and people in images. AI and machine learning have helped create and improve these advances. Machine learning gives computers a way to learn from data and examples.