Artificial intelligence and machine learning have become growing parts of technological advances over the past few years, impacting almost every sector from transportation to medicine. In the 20th century, when computer programs were first developed, each line of code had to be written by a programmer outlining exactly how the computer was to respond in any given situation. However, with machine learning, computers are starting to figure out the rules on their own.
According to Tricentis, learning requires following a set of rules presented to the machine as an algorithm. These systems are often used for math-based applications like accounting because it is easy to show the machine what to do when certain conditions are met. With learning systems for artificial intelligence, the machine can begin to add to the programmer-developed rules and come up with its own, potentially better, way of solving problems.
More recent approaches to machine learning are focusing highly on pattern recognition. This is especially the case in fields like medicine and transportation with the goal of creating fully autonomous machines that can solve problems like diagnosing cancer from a scan or expertly navigating a traffic situation.
Currently, AI needs to be fed information from sensors and image data that has already been labeled and processed by humans. This is an incredibly labor-intensive process. According to Deepen AI, a single hour's worth of driving data can take up to 800 man-hours to label and analyze. However, as technologies improve and the methods of machine learning become more robust, computers will begin to take on the analysis task themselves. Simple prototype traffic cameras are already in place in New York City, and similar programs are expanding to other places.
The iterative method uses an initial guess to generate a series of approximate answers that keep being refined. What makes machine learning particularly strong is its ability to improve over time, creating a final program whose details even experts in the field cannot explain. The key to this is using a dataset to repetitively test the program. For example, a simple program can be created that can differentiate pictures of numbers. Programmers can then test the machine with hundreds of photos, and based on the results of the test, the machine can alter its rules, take the test again, and see if it has improved.
Machine learning is becoming a growing part of the technology field, and its applications are only increasing each year. Ultimately, machines will not only learn enough to help us with day-to-day problems but will also understand how to teach themselves new techniques to keep up with human needs.
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(BPT) - Smartphones keep people constantly connected, smart cars can drive and park themselves, and smart buildings are designed to use less energy as they keep everyone occupying them comfy and productive. Of course you think you know how technology is revolutionizing everyday life. But do you really understand that tech now touches everything?
Technology's influence on modern life may be even greater than you realize. Here are four ways technology could transform your life at home and at work:
1. Home life
Technology is making homes "smarter" and more connected. You may already have a smart thermostat in your home that adjusts the temperature automatically and learns your patterns and preferences to provide you with maximum comfort for minimum energy expenditure. But wouldn't you like to be able to control that thermostat - or the lights, alarm and blinds - from your office using your smartphone? Wouldn't it be great if you could ask your refrigerator whether you need milk so you can pick it up on your way home from work?
The technology to do all those things already exists and is becoming more commonplace. BI Intelligence predicts that by 2020, 193 million smart home devices will be shipped. The devices will range from smart clothes washers and dryers to alarm system components, energy equipment like thermostats, and smart lighting.
2. Safer roadways
The leading factors that lead to car crashes have one thing in common - they all involve a human being behind the wheel. Data compiled by the Auto Insurance Center found bad driving behaviors like failure to yield right of way, not staying in the proper lane and reckless or careless driving were leading causes of accidents.
Emerging technology aims to reduce the element of human error. Connected cars use wireless technology for a range of purposes, from navigation to remote monitoring and control and even managing vehicle systems. Expected to enhance the driver's experience, all new passenger cars sold in 2025 will be connected, according to the 2015 study, "Connected vehicle-Succeeding with a disruptive technology," from Accenture Strategy.
3. Less time in doctor's offices
Every time you visit a doctor's office or stay in a hospital, many costs are incurred. Co-pays, co-insurance and deductibles cost you cash, plus you could lose valuable work time. Insurance companies pay for covered services, while visits to the hospital or doctor's office costs health care providers costly staff hours. Technologies such as remote health monitoring and diagnostics can help trim costs and deliver care.
Remote monitoring uses a variety of devices (monitors) to help patients and doctors keep tabs on important health indicators, such as blood pressure or blood sugar levels. It can help physicians provide health care while incurring fewer costs associated with missed appointments and hospital readmissions, notes the Deloitte University Press.
4. Safer senior years
As they grow older, many people find they need help at home in order to remain independent. Assisted living facilities aim to give seniors basic in-home care, such as help with taking medications. Technology is now available to help seniors who remain at home, including fall detection sensors and activity monitors to interactive food logs, and symptom tracking to machines that help automate wound care and physical therapy.
Devices ranging from sensors and environmental controls to vehicles that are connected through the internet are some aspects of the Internet of Things, and it's a network that continues to grow, which could make tech skills more desirable.
DeVry University, which was founded in 1931 with an emphasis on technology, offers degree programs that focus on information technology and computer sciences. DeVry has put technology at the core of its business, tech and health care programs.
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