All Eyez On Data

Applications of Deep Learning across Industries

We would have never imagined that technology would become this advanced. From self-driving cars to virtual assistants, the world is almost dependant of them. They are an unavoidable part of our everyday life. The advancement of AI has been the result of the improvement of Deep Learning. But, when we think of deep learning we often don’t think about how directly and indirectly applies to our life.

1. Virtual Assistants

One of the most popular applications of this tool is Virtual Assistant. Google Assistant, Siri and Alexa are the typical example of this. Every time you interact with one of these, you give them an opportunity to learn more about you. They know your voice, your accent and so much more. This type of interaction gives you a secondary human interaction experience.

These assistants are made to draw data from your tiniest habits. They learn what type of dining places you like to go to, where you travel the most even which is your favorite song. Their main learning goal is to comprehend the instructions you’re giving them. They analyze and evaluate the natural human language and then execute those commands. This relates to them translating speech to text, taking notes for your and booking meetings and appointments. Their use doesn’t end there, though. They can also run errands and auto-respond to specific calls. They’re excellent coordinators for tasks between you and others.

2. Healthcare

Deep Learning has an impact on the medical field as well. Machines use deep learning to analyze genomes, discover medicine and drugs and so much more. We can say that the medical industry has transformed so much thanks to deep learning and AI. Devices and systems that have GPU-accelerated applications bring new opportunities to improve the populations and individuals health. Discover

These technologies work to early discover and diagnose diseased and illnesses. They work as an excellent replication of human doctors and specialists. They are also crucial as they make up the lack of quality medical staff, specialists and physicians.

Another healthcare problem deep learning solves is readmissions. They are a massive problem for the medical sector. It costs more than ten million dollars. With the use of deep learning, machine learning and AI, it helps solve two problems. First, it mitigates the risks caused by readmissions. And second, they bring down the costs to an affordable level.

Deep Learning has also started being used in clinical research. Many regulatory agencies use deep learning to find cures to life-threatening diseases. Although, many of the medical personnel are skeptical about its accuracy, it is an undeniable fact that it helps more than we’d like to admit.

3. Self-Driving Cars

Deep Learning has a massive impact on making the autonomous driving life possible. To build such a model, millions of data sets have to be fed to the system. Then, multiple tests are performed to ensure safety and efficacy. For instance, The Uber Intelligence Labs are creating a car model that will replace the need of human drivers. This will massively change the whole driving industry. Not only will it enable a more automated experience for clients, but it will provide a plethora of smart options.

However, there is one big problem that is concerning developers. The problem with self-driving cars is how they will handle unknown and unplanned scenarios. Although, they are fed with data from sensors, geo-maps, cameras, there is always what if when it comes to cars taking over the roads. That is why these cars are regularly tested.

After they have been successfully tested, the cars are able to identify paths, read signs, navigate through traffic and read real-time elements like congestions and read blockages. Many companies are beginning to develop a vehicle system that will be able to navigate without a map. This is one of the hardest things anyone has tried to achieve. The reason why this approach to driving is so unique is that it is harder to reach the same accuracy and reliability as with detailed maps.

If this works, it will become revolutionary. If a car system is able to navigate by using only sensors, it will show that cars have the potential to handle paths more efficiently than the traditional way.

Deep Learning is a tool that has made science-fiction come to life. It has made possible everything that we had dreamed of to come to life. As deep learning has been integrated into AI systems, it has created endless opportunities for specialists and professionals to enhance and improve their workflow. Not only that, but it has revolutionized the way everyone lives. We can only imagine what the future will hold. It seems that this is only the beginning of a journey to a better world.