Researchers believe deep learning could change society forever, while some believe it already has. Considered a subtype of machine learning, deep learning relies on algorithms inspired by the way the human brain works and functions. These artificial neural networks mimic the way our minds work. If you’re not yet familiar with deep learning, keep reading and see why it’s so significant.
Facilitating better understanding
Scientists have already extensively used deep learning to improve voice recognition software commonly built into smartphones. That’s a big reason why there are fewer errors and faster results when people use the software to speed dial their friends or to search for things on the Internet. In the future, researchers are confident that deep learning will make it easier for people with hearing disabilities to read lips.
LipNet is software powered by deep learning that can read people’s lips and boasts an accuracy rate of over 93 percent. In contrast, humans can only read lips accurately about 52 percent of the time. In addition to being very precise, LipNet is extremely fast. By using a camera, the software can examine silent videos of moving lips and transcribe the information within the imagery in near real time.
Scientists are hopeful that a person could readily read lips with a high level of accuracy, even when standing in a crowded room. They would wear special camera-equipped glasses and listen to an audio feed of the transcribed text.
Helping people feel safer
Engineers have recently incorporated deep learning into an advanced home security system. The Presence system uses deep learning algorithms to spot cars, humans, and animals near a home, and then sends mobile alerts as necessary.
Homeowners can designate certain areas for monitoring and ask the system to record incidents, allowing them to play back the footage later. The system can even tell if a delivery driver came with a package, but no one was at home to receive it. Unlike existing surveillance systems, Presence doesn’t require human analysis, because it learns about the usual conditions of outdoor areas and provides notifications if things change.
This technology not only makes people feel more at ease, but it could also reduce or even eliminate the need for employees to monitor homes equipped with security systems. Eventually, we may see everything from museums to office buildings safeguarded with deep thinking technology.
Customizing the shopping experience
Big data is often used to learn more about how and why people buy things. Marketing analysts then study the data to predict emerging trends. Retail stores are also taking deep learning much further by analyzing social media feeds, information about past purchases, and general demand levels within the marketplace.
As a result, people no longer feel so overwhelmed by the sheer amount of products to buy, and they can receive advance notifications about stock levels, discounts, and other insights. The outdoor clothing retailer North Face uses a natural-language processing machine learning system designed by IBM to help shoppers narrow down choices.
Shoppers can go into a certain section of the store and indicate they need apparel to keep them warm during a December trip to Alaska. The system would then work from numerous variables to generate possibilities based on things they’ve bought before, plus sales data from the general shopping pool. As this technology becomes more advanced, shopping may become more streamlined than ever, as stores only cater to personal preferences.
It should now be clear that deep learning has many applications, and the examples mentioned here don’t even scratch the surface. From keeping outdoor premises more secure to helping us buy must-have items without hassles, deep learning continually simplifies and strengthens processes that people in society use every day.
This article was written by Megan Ray Nichols. If you enjoyed this article, please visit her page Schooled by Science.