Artificial intelligence (AI) is all around us, from the computer you use to the smartphone in your pocket to the smart home devices in your house. But what exactly makes these machines so smart? Is it really possible for AI to one day have an IQ of 10,000? Artificial intelligence may be among us today, but experts are still debating how similar it actually is to human intelligence. Let’s take a look at how artificial intelligence compares to human intelligence and what that means for the future of AI-powered machines and services.
Artificial intelligence (AI) is intelligence exhibited by machines. In computer science, AI research is defined as the study of intelligent agents: any device that perceives its environment and takes actions that maximize its chance of success at some goal. Colloquially, the term artificial intelligence is applied when a machine mimics cognitive functions that humans associate with other human minds, such as learning and problem-solving. AI can be categorized into subfields that focus on specific problems or tasks, such as machine learning, perception, speech recognition, planning or robotic operating systems. General-purpose artificial intelligences are still hypothetical. Many people fear them due to movies like The Terminator and iRobot. However, specialized AIs have already integrated themselves into society in many ways. For example, they help scientists discover new drugs and treat patients.
The debate over whether artificial intelligence will ever be able to fully replace human intelligence is a heated one, and it’s not going away anytime soon. People have been debating it for decades, and there are no clear answers just yet. The real answer is that AI has been improving rapidly, so who knows what the future holds? But there are several strong arguments for why AI will never be able to completely replace humans in our day-to-day lives—especially in terms of emotional intelligence and social skills. Let’s take a look at them both.
Despite its name, artificial intelligence (AI) is all about enhancing human abilities, not usurping them. This technology can be used to handle mundane tasks so that humans can focus on what they do best; AI software is often better at simple number-crunching than people are! Some AI systems are specifically designed to supplement human intelligence; for example, Watson may understand medical data like no doctor ever could, but it still works with doctors rather than replacing them. How does human intelligence help AI?: At present, intelligent systems are relatively unsophisticated—they have their strengths and weaknesses just like humans do. However, as researchers learn more about how our brains work and process information, we’ll eventually create machines capable of truly amazing feats. For now, AI remains reliant on human input to run smoothly; as such, we’re already working with AI in ways we never would have imagined a few decades ago.
Machine learning is a field of computer science that uses statistical techniques to give computers the ability to learn (i.e., progressively improve performance on a specific task) with data, without being explicitly programmed. Machine learning focuses on predictive models and is heavily based on statistics and probability theory. The main difference between machine learning and artificial intelligence is that AI emphasizes the creation of machines capable of independent reasoning, thinking, and acting in a way humans can relate to. Machine learning does not require these characteristics. Machine learning can be used in prediction problems ranging from simple regression models to complex systems such as supply chain management or medical diagnosis algorithms used for predicting patient outcomes in critical care situations.
When we talk about artificial intelligence, we tend to focus on what computers and machines can do that humans can’t: beat world champions at games, solve complex math problems and make self-driving cars. But AI is also shaping how humans work and live—and it’s more than capable of augmenting our skills rather than replacing them. Consider voice assistants like Siri or Alexa. At first blush, they may seem redundant in a world with smartphones and search engines. But actually, such tools free us up from tedious data entry (typing an address into Google Maps) and mindless web searching (Siri is pretty good at dishing out trivia). They save us time and help us get things done faster. So whether it’s analyzing large data sets using machine learning or fielding customer service inquiries through natural language processing, many jobs will soon be augmented by AI instead of taken over by robots…for now.
Servicely uses a combination of cutting-edge AI techniques like Natural Language Understanding, Supervised Learning and Unsupervised Learning. With these tools, we learn how service agents resolve tickets – what they say, what knowledge they access, what external systems they use – and start doing the tedious parts for the agent. We call this Augmented Intelligence, and this makes agents faster, more efficient and more consistent. Plus they enjoy their life more because they don’t have to do yet another password reset or group permission assignment.
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