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Artificial Intelligence

Team #jmexclusives, Technology is moving at a super fast speed. What you knew yesterday is not what it is today. But, what is with AI? Robots are taking over the world! Okay not really, but sometimes that’s what magazines and movies would like you to think. In fact, just last week researchers wrote an article about how the possibility of hacking into robots and making them do terrible things has never been closer. Here’s the truth. Artificial intelligence is a good thing! It’s time for us all to stop thinking about the evils of technology and instead focus on the benefits.

Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Most AI examples that you hear about today – from chess-playing computers to self-driving cars – rely heavily on deep learning and natural language processing. Using these technologies, computers can be trained to accomplish specific tasks by processing large amounts of data and recognizing patterns in the data.

Did you know Google and Netflix both use artificial intelligence to help them exist? Google alone employs over 70,000 employees. This is one of the advantages of artificial intelligence-that over 70,000 people are able to have a job that doesn’t involve mindless tasks. And that’s just the success it has had with one company. AI helps businesses grow, develop, and allocate new resources to hire more people. In fact, right now there are many companies out there following Google’s example and using AI software in their business plans.

Technology: As technology improves, we as a race are becoming increasingly impatient. While typing emails, we are used to getting name suggestions before typing the whole name. When using our smartphones, we prefer talking instead of typing (Siri, Cortana, Google Assistant anyone?). These are just a few variations of how AI is being used in our daily lives.

Workforce: AI will be most useful in getting computers and robots to do stuff that’s possibly too dangerous for humans. Check out Boston Dynamics, a company owned by Google, that has used AI to make robots replicate animal movements and navigate weird terrains. Think of a forest fire, and what we can potentially achieve by making a robot access areas that are not possible for humans (We’re still far away from that, but it’s still a great implication of AI)

Healthcare: This trillion dollar industry continues to find applications in every new technology. There are so many rural areas with no access to doctors and basic diagnostic healthcare. Imagine what could potentially happen if we’re able to teach computers to diagnose simple ailments in humans. Some work on this periphery is potentially being taken up by IBM Watson Health. It’s still in extremely nascent stages though!

Efficiency: Advantages of artificial intelligence don’t end there. Another benefit of it is that it’s convenient! One way AI makes life more convenient is through the elimination of repetitive tasks. A simple example of this is scheduling tasks and meetings. Many staffers have noted that the incorporation of artificial intelligence in their office has allowed them to set aside extra time for tasks that they deemed more important. Higher convenience at work has also been correlated with an increased productivity as well.

Artificial intelligence is a branch of computer science that aims to create intelligent machines. It has become an essential part of the technology industry. Research associated with artificial intelligence is highly technical and specialized. The core problems of artificial intelligence include programming computers for certain traits such as:

  • Knowledge
  • Reasoning
  • Problem-solving
  • Perception
  • Learning
  • Planning
  • Ability to manipulate and move objects

Knowledge engineering is a core part of AI research. Machines can often act and react like humans only if they have abundant information relating to the world. Artificial intelligence must have access to objects, categories, properties, and relations between all of them to implement knowledge engineering. Initiating common sense, reasoning and problem-solving power in machines is a difficult and tedious task.

Machine learning is also a core part of AI. Learning without any kind of supervision requires the ability to identify patterns in streams of inputs, whereas learning with adequate supervision involves classification and numerical regressions. Classification determines the category an object belongs to and regression deals with obtaining a set of numerical input or output examples, thereby discovering functions enabling the generation of suitable outputs from respective inputs. Mathematical analysis of machine learning algorithms and their performance is a well-defined branch of theoretical computer science often referred to as computational learning theory.

Machine perception deals with the capability to use sensory inputs to deduce the different aspects of the world, while computer vision is the power to analyze visual inputs with a few sub-problems such as facial, object and gesture recognition. Robotics is also a major field related to AI. Robots require intelligence to handle tasks such as object manipulation and navigation, along with sub-problems of localization, motion planning, and mapping.

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