8th Global Summit on Artificial Intelligence and Neural Networks

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

AI and Machine Learning would revolutionize our existing technological frameworks and introduce a brand new industrial age by reorienting and reworking everything from the only of appliances to cars. However, that’s not all! The applications of Machine Learning aren't solely restricted to the terrestrial zone, however, have reached for the sky too, each virtually furthermore as figuratively. Similar to all alternative domains that are constantly reimagining themselves and girding for the longer term, the domain of remote sensing is additionally undergoing profound changes and witnessing increasing use of specified algorithms once huge information and Cloud Computing became virtually omnipresent. Machine Learning algorithms have verified to be a strong tool for analyzing satellite imagery of any resolution and proving higher and additional nuanced insights. In its emerging stages, there are a few challenges as well in the application of Machine Learning on satellite pictu