6th World Machine Learning and Deep Learning Congress

A rtificial Intelligence is a technique which enables computers to mimic human behavior or to achieve human and super-human abilities in machines that can help us in every-day lives. In other words, it is the area of computer science that emphasizes the creation of intelligent machines that work and reacts like humans. One of the most trending applications of AI is Machine Learning (ML), in which computers, software, and devices are programmed to perform very similar to human brain (cognition). Machine Learning provide computers with the ability to learn without being explicitly programmed and to take intelligent decisions. It also enables computers, software, and devices to grow and improve with time and experiences. So, in general, machine learning is about learning to do better in the future based on what was learnt and experienced in the past. Here, we are sharing few examples of machine learning that we use almost every-day and perhaps have no idea that they are dri...

T he brain inside our head is the most complex machine. And neurons are the power house of human brain. It helps our brain to learn, adapt and apply knowledge. Which makes human brain the most advanced natural processing system. Have you ever thought, what if we can use the same techniques of our brain in a machine? When the word “Neural” is heard first thing come to my mind is neurons in the brain which is a part of decision-making process. Human brain has neurons that help in adaptability, learning ability & to solve any problem. Unlike Human brain, computer scientists dreamt for computers to solve the perceptual problems that fast. Then they will develop their selves along with time. This is called as “ Machine Learning ” and hence, ANN model came into existence. Artificial Neural Networks is nothing but a biologically inspired computational model that consists of processing elements (neurons) and connections between them, as well as of training and recall algorithms. ...

What is IoT? Internet of Things (IoT) or let’s say Internet of Everything refers to an umbrella that covers the entire network of physical devices, home appliances, vehicles and other items embedded with software, sensors, actuators, electronics and connectivity, or we can say with an IP address (Internet Protocol), which enables these objects to connect and exchange data, which resulting in enhanced efficiency, accuracy and economic advantage in addition to reduced human involvement. Why IoT? As a human, we can track and count everything, and greatly reduce waste, loss and cost. We know when things needed replacing, repairing or recalling, and whether they are fresh or past their best. Now a day, the same is done by computers. They have ability to know everything there is to know about things - using data they gather without any help from humans. They can see, hear and smell the world for themselves, in all its random glory. This is precisely what IoT platforms...

F irst of all, let me ask a question; how many of you take selfies? I think the answer is quite simple and it is obviously a big ‘YES’. Well then let me rephrase it; how many of you take selfies only after the camera detects your face? Now something interesting is coming. You know how it detects your face, your age, your gender and sometimes even your name. Let me take one more example. Well, I am pretty sure that everyone out there must be using ‘tag your friend’ option on Facebook. Have you ever noticed that typing their names individually is not required, as soon as you upload a photo, Facebook tags everyone for you like magic. Is this really a magic? No, not at all. This is technology. This is Facial Recognition . Now let us talk about Facial Recognition. According to Wikipedia, A facial recognition system is a computer application capable of identifying or verifying a person from a digital image or a video frame from a video source. One of the ways to do this ...

A rtificial intelligence is the mix of three technologies – Machine Learning , Natural Language Processing (NLP) and Cognitive Computing which enables the Artificial Machines to mimic the human intelligence with the assistance of machine learning and natural language processing algorithms. The prime intention in exchanging the knowledge from humans to machines is to beat the very boundary of human intelligence: adaptability. There’s always a limit to the speed with which humans can perform the given tasks. Artificial intelligence hopes to conquer this very challenge with human intelligence by exchanging the human intelligence to cognitive machines with incomparable computational abilities. Artificial intelligence has brought upon one of the biggest revolutions in the banking industry. Where traditional software was hard-coded with rules to define the area of execution, artificial intelligence allows computers to create their own rules based on the guidelines and data ...

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 ...

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...