8th Global Summit on Artificial Intelligence and Neural Networks

Researchers have developed a machine-learning model that takes computers a step closer to interpreting our emotions as naturally as humans do. In the growing research field of “affective computing”, robots and computers are being developed to analyze facial expressions, interpret our emotions and respond accordingly. Applications include, for instance, monitoring an individual’s health and well-being, gauging student interest in classrooms, helping diagnose signs of certain diseases, and developing helpful robot companions . A challenge, however, is people express emotions quite differently, depending on many factors. General differences can be seen between cultures, genders, and age groups. But other differences are even more fine-grained: The time of day, how much you slept, or even your level of familiarity with a conversation partner leads to subtle variations in the way you express, say, happiness or sadness in a given moment. Human brains instinctively catch these dev

                           Women Scientist (The Women of Science Award)                            We are Organizing 8 th Global Summit on Artificial Intelligence and Neural Networks (Neural Networks 2020) which is going to be held in the month of June 18-19, 2020 in Dubai, UAE. Theme : AI - The Next Evolutionary Step in Digital Transformation Our Conference provides a unique platform for women scientists for presenting the latest research projects with an in-depth analysis. We warmly welcome women scholars and scientists from Universities/ Industries who have significant research experience in Machine Learning, Deep Learning and AI to join the forum. We are happy to encourage our women scientist’s participants through research awards and provides assistance for women scholars in the respective areas of Machine Learning and Artificial Intelligence in career development and research guidance. Women in Science Award highlights significant contributions b

Artificial I ntelligence is the most important and the revolutionary invention of mankind.   Since its launch into this materialistic world, it has drastically ruled out all existing complication which was prevailing from our evolution in a very short span of time. The latest addition to its glossary is ALEXA. The thirst for knowledge is never ending for any generation and its arrival has definitely made a huge impact in terms of expansion of unlimited and source-able information anywhere anytime.   It is based on artificial intelligence and machine learning where it basically responds to the voice command of the user by retrieving the information from its database in fraction of a second. It also uses the feedback system so that it rectifies from its errors and manipulations. The other innovations such as Natural language generation, Speech recognition, virtual agents etc. are definitely a treat to look out for the gadget lovers. Their updates are under process which will obvio

Researchers have developed a machine-learning model that takes computers a step closer to interpreting our emotions as naturally as humans do. In the growing research field of “affective computing”, robots and computers are being developed to analyze facial expressions, interpret our emotions, and respond accordingly. Applications include, for instance, monitoring an individual’s health and well-being, gauging student interest in classrooms, helping diagnose signs of certain diseases, and developing helpful robot companions . A challenge, however, is people express emotions quite differently, depending on many factors. General differences can be seen between cultures, genders, and age groups. But other differences are even more fine-grained: The time of day, how much you slept, or even your level of familiarity with a conversation partner leads to subtle variations in the way you express, say, happiness or sadness in a given moment. Human brains instinctively catch these devi

In the ever dynamical world of data technology, business organizations are left with a massive amount of data with them. This data includes very crucial info for business use, however business organizations are solely ready to utilize 200th of whole data accessible with them with the use of traditional data analytics technology. To method and interpret the reaming 80th of the data that's within the form of videos, images, and human voice (also referred to as dark data), there's a requirement of cognitive computing systems. Cognitive computing  systems are a typical combination of hardware and software that constitute natural language processing (NLP) and machine language, and have the capability to collect, process, and interpret the dark data available with business organizations. Cognitive computing systems process and interpret the data in a probabilistic manner, unlike conventional big data analytic tools. However, to cope with the continuously evolving technolog

The significant breakthrough demonstrates that an optical circuit will perform a critical function of an electronics-based artificial neural network and will result in more cost-effective, quicker and additional energy-efficient ways to perform advanced tasks like speech or image recognition. using an optical chip to perform neural network computations additional efficiently than is possible with digital computers could permit additional advanced issues to be resolved. An artificial neural network is a variety of artificial intelligence that uses connected units to process data in a manner like the way the brain processes information.             A light-based network A neural network process is often performed employing a traditional computer, there are significant efforts to design hardware optimized specifically for neural network computing. Optics-based devices are of great interest because they can perform computations in parallel while using less energy than elec