Deep Learning is now booming. The world’s largest companies have not hesitated to invest in this field of research. They have developed solutions or tools based on this advanced technology. Several fields are currently taking the turn of Artificial Intelligence, notably through deep learning. There are many applications of Deep Learning.
Deep Leaning applications
Image recognition
Medical diagnostics
The use of Artificial Intelligence in the medical field is gradually becoming more and more popular. The technology is mainly used to recognize diseases through scanner images. Today, some diseases are almost undetectable by doctors, or require numerous analyses before appropriate care can be initiated. With image recognition, AI can spot signs of disease faster than doctors, allowing rare or serious diseases to be detected much earlier. For example, in oncology, AI based on Deep Learning can automatically detect cancer cells.
Security
The giant Facebook has developed an AI capable of detecting the content of images posted on the social networks it owns. Thus, any content contrary to the terms of use can be quickly detected and Facebook can react accordingly.
Voice recognition and chatbots
Since 2015, we have seen the well-known voice assistants arrive in our homes. They are part of our daily lives and assist us in tasks that were previously simple such as putting on music or closing the shutters. It is also possible to talk to the voice assistant. These conversations are made by means of Deep Learning technology.
Predictive analysis
We will use Artificial Intelligence to analyze thousands of data by combining them with statistics. We will then be able to make predictions of the most probable future events according to the indicated parameters.
Games
In 1996, Artificial Intelligence already beat Garry Kasparov, six times world champion, at chess. AI has long since invested in the gaming world, from the game of GO to today’s video games such as Starcraft II, where AIs beat the best players.
Marketing
Predictive analytics are increasingly used in marketing, through content suggestion. This kind of initiative can be found on some e-commerce websites, where you can see « what others liked too ». This is also the economic model on which some video sites are based, which offer you content according to your consumption preferences.
Financial prediction and automated trading
At Robank Hood, we have also taken the step of Deep Learning and applied it to trading in order to improve financial performance and reduce the risks associated with the activity of traders, both in terms of financial risk and the emotional and psychological risk incurred by traders.
Thanks to Deep Learning, we are able to trade stock indices and take into account geopolitical factors, and evaluate investment opportunities in the markets. Find out how to put Deep Learning in trading.