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.
Read more: What Businesses Need to Know to Get the Most Out of Their IT Team
(BPT) - Do you think you could live without your mobile phone? What about the navigation and backup camera in your car? Could you drive as well without them? Could you get by without your smartwatch reminding you how often to get up from your desk to keep healthy or weather conditions for the day so you know how to dress?
Our obsession with technology and the information it delivers daily has progressed beyond the point of external mobile phones and smartwatches to implanted heart monitors and Fitbits. At one time, consumers were too paranoid to enter their Social Security or credit card number online, but now, they are willing to implant sensors and other wearable technologies into their bodies. In turn, companies are leveraging these devices to collect as much data about their potential customers as possible.
The latest fashion: Wearing data
Think about it: You’re carrying (and generating) large amounts of data everywhere you go with wearable and implanted technologies. This means 24/7 data collection for the companies that manufacture those devices, which in turn helps them create a 360-degree view of the patients, athletes or customers they serve with the appropriate products, services and marketing campaigns.
According to research by Talend, a cloud and big data integration software company, 33 percent of consumers already own wearables like the Apple Watch or smart clothing, and another 30 percent are expected to make a purchase within the next three years. That’s a lot of new sources of data for companies to utilize — and a plethora of information companies can use to more accurately define the preferences and needs of its customers.
How we’re using wearables
Topping the list of today’s most common consumer-use cases for embedded wearables is healthcare (57 percent), privacy (28 percent) and convenience (20 percent), all contributing to the rapid dissemination and uptake of these devices.
Healthcare is the leading use for implanted technologies, with the introduction of advanced-tracking devices such as Medtronic’s FDA-approved Reveal LINQ Insertable Cardiac Monitor with TruRhythm Detection, introduced in March of this year, which is designed to accurately identify abnormal heartbeats. This life-saving device is implanted just beneath the skin and communicates wirelessly with the patient’s bedside monitor, which uploads device data to the Medtronic CareLink network. Once the data is loaded, algorithms can be run to determine if the patient is experiencing slower than average heart rate, which can deprive the brain and other organs from getting enough oxygen. This advanced use of embedded wearables and machine learning helps physicians find answers for patients at risk of cardiac arrhythmias to better manage a range of patient populations.
Outside of healthcare, the second biggest use for embedded wearables is physical security. Several companies have started utilizing biochip implants to replace card keys and manual entry codes for employees. For example, Three Square Market offered employees implanted chips in July to make purchases in their cafeteria and break rooms, open doors, log in to computers and use the copy machine. Approximately 50 employees underwent the minimally invasive procedure, many of whom believe the chip is worth any potential discomfort, as it helps to streamline their daily processes. Though this may seem like a massive invasion of privacy for many, for others, biochip implants present a way to make life easier.
Establishing trust: Should you be worried about privacy of information?
While the results of Talend’s survey seem to point to the fact that consumers are getting more digitally comfortable, with greater trust from consumers comes greater responsibility for companies to understand the many ways they need to protect customer data.
According to Talend’s survey, the most likely scenario that would drive consumers to break up with a brand and take their business elsewhere is a breach of personal data. In fact, 78 percent of consumers want to be assured they have full visibility into what companies are doing with their data. But as implanted and wearable technology becomes increasingly common and technology improves, the trade-off between data privacy and convenience will only increase.
Consider a future of augmented reality where implanted contacts could allow you to visualize and interact with the world around you in practical ways, or a future with implanted audio wearables that translate languages in real time. Would that convenience and experience move you to adopt wearable technology even if it means relinquishing more of your personal information and privacy?
At what point of technology adoption do we all essentially become cyborgs, guided each day by the obvious and subliminal information being fed to us via embedded and external devices? The day of total automation may be here sooner than you think.
(BPT) - Just a decade or two ago, home automation was still something of a novelty. Some homeowners might have had programmable thermostats in their homes, but many probably hadn't thought of automating things like window coverings. Moreover, they likely viewed any home automation they did have as a convenience. Today, home automation is becoming an essential efficiency-enhancing element in many homes.
Right now, just fewer than 6 percent of American households have automated homes, but within four years that percentage is expected to triple to nearly 19 percent, according to data compiled by Statista.com. What's driving more people to automate their homes? A report by icontrol networks found security, cost savings and eco-friendly energy efficiency are what people find most exciting about home automation.
Heating and cooling, lighting and security systems are among the most common elements automated in homes, but they're far from the only ones that can save you money and make your home more efficient. Here are three surprising things you can automate in your home to further improve efficiency, boost energy savings and lower energy costs:
Shades, drapes, blinds, and awnings can all help control the amount of heat and light that enter your home. Selecting window coverings to block out light and heat in summer, and admit light in winter, can help your home's heating and cooling systems work more efficiently. However, the effectiveness of window coverings hinges on opening and closing them at the right time - something you may forget to do, or not be home to do.
Automating and powering window coverings can help automatically maximize their effectiveness. Depending on the climate where you live, automating window coverings could yield energy savings of 11-20 percent, according to a study commissioned by the Consumer Technology Association (CTA).
Somfy's motorized solutions easily integrate with any home automation system, regardless of brand or technology, and offer many options for controlling window coverings. Select from a wide variety of hand-held remotes, sensors, wall switches, and the myLink app that allows you to control your motorized window coverings from mobile devices.
If you've ever been locked out of your house or had a guest arrive at your home when you were out, you probably wished there was some way to unlock your front door without a key - and from miles away. Smart locks allow you to do both those things and more.
You can replace or supplement an existing lock by installing a smart lock, and you won't need a professional locksmith to do it. If you can install a regular lock and operate a smartphone, you have the expertise you need to add and use a smart lock.
In addition to allowing you to lock and unlock your door without a key, smart locks also allow you to operate the lock remotely from an app on your phone. You can also receive alerts when the door has been unlocked - a great way to track the comings and goings of latchkey kids. Many allow you to generate a single-use digital key that you can email to guests or service providers who may need to enter your home when you're not there. Smart locks can also be paired with most popular home automation systems.
Many appliance makers are offering smart, connected appliances with the big draw being their "wow factor." However, some of the features of these appliances do hold the potential to improve a home's efficiency and energy savings.
For example, a refrigerator that tracks groceries and lets you know when you're about to run out of an important item could help you better plan your shopping trips. Fewer car trips conserves gas and reduces greenhouse emissions. Cooking is another area where automation can relieve some of the energy waste caused by human error. Smart ovens and cooktops can sense when to turn themselves off in case you forget to do it - reducing energy waste and fire risks.
More homeowners are discovering the convenience, security and efficiency advantages of home automation. Technology is helping make American homes more livable and enjoyable.
Interested in Publishing on The Tech Idea?
Send your query to the Publisher today!