8th Global Summit on Artificial Intelligence and Neural Networks

The implementation of artificial intelligence                Artificial Intelligence is an intelligence exhibited by machines without needing any humans. The addition of AI to bot technology opens the door to endless possibilities for human interactions. Brand awareness                 With bots, this is no longer the case. You can create a bot that represents your brand and spreads information relating to it. Bots can be available instantaneously to provide further information to prospective customers. They can not only raise a broader awareness of your product by being implemented in various mediums but are also able to respond to millions of customers at once without the expense of manpower. Intuitive programming                  Intuitive b...

Brain-computer interfaces (BCIs) are seen as a potential means by which severely physically impaired individuals can regain control of their environment, but establishing such an interface is not trivial. Brain-computer interfaces (BCIs) uses the electrical activity in the brain to control an object, usage has seen grown in people with high spinal cord injuries, for communication, mobility, and daily activities. The electrical activity is detected at one or more points of the surface of the skull, using non-invasive electroencephalographic electrodes, and fed through a computer program that, over time, improves its responsiveness and accuracy through learning. As machine learning algorithms became faster and additional powerful, researchers have mostly targeted on increasing decryption performance by characteristic optimum pattern recognition algorithms. To test this hypothesis, researchers listed two subjects, each tetraplegic adult men, for the session/training with a...

A  blockchain  is a secure distributed enduring database shared by all parties in a very distributed network where transaction data can be easily audited and recorded. The data are stored in rigid structures called blocks, which are connected to each other in a chain through a hash. Most often used term used today is  Artificial Intelligence , which states that the ability of a machine to exhibit intelligence. A circulated database accentuates the importance of data sharing among multiple applicants on a particular network. On the other hand, Artificial Intelligence depends on Big Data, particularly sharing of data. With additional open data to analyze, the conjectures and assessments of machines are considered more correct, and the algorithms generated are more reliable. The theory and practice of building machines capable of performing tasks that seem to require intelligence is what we can call Artificial Intelligence. Blockchain could: · ...

Developments in artificial intelligence might facilitate us to predict the likelihood of life on different planets, according to research team from Plymouth University’s Centre for Robotics and Neural Systems used artificial neural networks (ANNs) that use similar learning techniques to the human brain, so as to estimate the likelihood of extra-terrestrial life on other worlds. It estimates the probability of life in each case, with the apparent potential to play a key role in future heavenly body exploration missions. ANNs are systems that attempt to replicate the way the human brain learns. They are particularly good at identifying patterns that are too complex for a biological brain to process and one of the main tools used in machine learning. As per the AI system the planets are first classified into 5 different types, determined by whether they are most similar to present-day Earth, Venus, Mars or Saturn’s moon Titan. All 5 of these objects are among the most potentia...

Biometrics usually refers to the process used to recognize, identify and authenticate persons based on certain physical or behavioral characteristics. Biometric verification is to identify a person uniquely by estimating one or more unique biological traits. Now-a-days biometric authentication is also hacked which usually relies on factors like fingerprints and facial recognition. Some experts are worried that biometrics can be inherently weak because as they rely on some aspects that could change throughout a person's life. We have come across generally recognition methods in our day2day life such as fingerprint, face recognition. These are few conventional methods which are used mostly for biometric applications. Apart from the common Biometrics techniques, there are other Unconventional methods which are very rarely known. “So, the Unconventional Biometrics will be the answer to the Hackers” Types of Unconventional Biometrics: 1. Body Odour: ...

Natural Language Processing and Text analytics holds the key to unlocking the business worth among these huge data sets. They are step by step transforming into a field very useful for numerous business applications, like competitive analysis, and raising the standard of machine intelligence systems. Text Analytics or text mining, its a broad term that describes tasks from elucidation text sources with meta information such as people and places mentioned in the text to a large range of varying models regarding the documents. There has been a large growth inside the volume and various kinds of data/information as a result of the build-up of unstructured text data/information. Industries/Companies are now relying on technologies like text analytics and NLP for creating sense of such massively collected data. Text analytics and NLP hold the key to unlocking the business price/value within these vast information sets. Natural Language Processing a subset of Artificial Intell...

Artificial Neural Networks (ANNs) computational model based on the structure and functions of biological neural networks, it became a strong tool for researching artificial intelligence and information analysis and are utilised in robotics, social sciences and neuroscience for classification, prediction and pattern recognition. A global scientific team which incorporates scientists from Russia has created an artificial neural network that detects human ambiguity. They assist to classify neural signals, observe pathological activity of the brain (for example, with epilepsy), and neurodegenerative diseases. ANNs have three layers that are interconnected. The primary layer consists of input neurons. Those neurons send information on to the second layer that successively sends the output neurons to the third layer. Training an artificial neural network involves selecting from allowed models for which there are several associated algorithms. In this analysis, the scientist...