6th World Machine Learning and Deep Learning Congress

I nitially, Artificial Intelligence (AI) was introduced to mimic human brain and investigate the real-world concerns with a holistic human approach. The promise of AI concept has always been on the horizon from realistic science to the imagination in movies and literature. AI largely enables the ability to store and process tremendous amounts of data in an intelligent manner, and more particularly make an interpretation of that data into functional tools. Since its origin, AI has been deployed for many applications wherein its success in solving problems for specific areas just like risk prediction is involved. Now AI & Machine Leaning is stepping into Medicine & Healthcare which will allow the future to adapt AI-based systems for better diagnosis, cure and treatment of debilitating conditions. Potential areas of AI & Machine Learning in Medicine & HealthCare include but are not limited to the following:      Artificial intelligence techniques in medicine  

C ompanies has always been about solving problems by doing work. The best businesses solve problems for their customers better than the competition. The tools with which we’ve solved problems have changed over the years. Assembly lines and heavy machines were the tools in the industrial age. In the postindustrial era we started to rely more on computers and our brains as the tools for solving these basic business problems. But right now, we are during a transition to tools of Robotic Process Automation (RPA) . RPA tools are more intelligent than the traditional brute force tools of the past with robots, artificial intelligence and cognitive computers. The technology combines Artificial Intelligence and Machine Learning capabilities to replicate the actions of a human being with the use of a software robot. A simple definition of RPA is, automation of business processes across the enterprise using software robots. Any repetitive task which requires some decision making i

The market of Artificial Intelligence is growing exponentially worldwide. According to the research, the global Artificial Intelligence market is expected to grow from $ 1.41 Billion in 2017 to $ 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% and the Global Artificial Intelligence as Service market is expected to grow from $ 480.94 million in 2015 to reach $ 5,394.87 million by 2022 with a CAGR of 41.2%. Therefore, Artificial Intelligence Engineer is now the fastest-growing job position throughout the globe. Did you know how many companies are there that is working on AI? Well, there are many. But today I am going to list top 50 startup who are expanding themselves incredibly worldwide.   SoundHound; Founded in 2005; California, United States   Endgame; Founded in 2008; Georgia, United States   Invoca; Founded in 2008; California, United States   C3 IoT; Founded in 2009; California, United States   InsideSales.com; Founded in 2004; Utah,