3 Kinds of Businesses That Will Use Super Smart AI

Deep learning is a concept that is a paradox because it is both simple and complex. It is simple because it’s easy to explain the basic idea of deep learning. It is a branch of artificial intelligence that seeks to teach machines how to think like a human brain. It’s complicated because understanding how it works can be tricky.

Tech giants are spending millions of dollars on deep learning research. They believe that it will help solve some of our biggest problems, such as disease, global hunger, and environmental pollution. These advancements are not a reality yet, but they might be soon.

However, businesses that solve global problems won’t be the only ones using this technology. Right now, super-smart AI can recognize objects and translate speech in real time according to MIT Technology Review.

This means that soon real businesses will be using deep learning AI in daily operations. A mom and pop shop down the street or a small start-up could be using a deep learning product.

Let us take a look at the businesses that could take advantage of it in the very near future.

Creative: Imagine your business hires a graphic designer. He or she is a team of one. They deliver projects before the deadline, and you couldn’t be happier with the work. After all, it is just one person, and you have kept them busy. It turns out that they have a secret. They are using AI software that can search and identify images in record time.

Medicine: Machine learning is already being widely used in the medical field. So far, this has included things like insurance claims and benefits, according to the AI software provider WorkFusion. These are useful tools, considering how much data comes from doctors officers and the chances of human error.

What sets machine learning apart from deep learning is that deep learning is designed to think like a human brain, solving problems that are more complex. Take cancer for example. Cancer cells grow in mathematical patterns or sequences. What deep learning has the potential to do, is to discover common links in those patterns and come up with a solution. While this is still a long way off, according to CNBC, pharma companies are already looking at this route.

ESL: Language can be a tool for connection or division. Speaking the same language fosters understanding between different cultures and is essential to global trade. According to VentureBeat, “Deep learning language translation blows others out of the water, with the exception (so far) of human translation.”

Soon, you may be able to land in Kathmandu and understand every word the locals say thanks to deep learning translation. Whether this will be done through an earbud technology — something already available but not widely — or by other means is a matter of speculation. One thing is clear — deep learning will make it possible for humans to speak the same language.

Today, deep learning is far from being a replica of a human brain. We can never predict precisely how technology will develop, based on the human needs it can fill. As of this article, deep learning still has a lot to learn. When it comes to language, image ID, and big data, it’s showing to be a good pupil.