Myriads O' Technology

  Autonomous systems are developed to emulate certain characteristics of intelligent biological systems. The technology is swiftly gaining pace for significant advances in various fields. The systems are changing the perspective towards self-governance and decision-making abilities of machines with system enhancements in real cases. There is a large scope of research in ethics related to autonomous systems and their technical implementation which still remains unexplored in depth. I am influenced by the approach taken by the authors of the article ‘Ethical Framework for Designing Autonomous Intelligent Systems’ where concept of principlism, casuistry and importance of stakeholders are discussed. Ethical issues are identified on the basis of research and assessed whether they should be included in the system design. These can be considered on the basis of three approaches such as, value-based design, life-based design and responsible research and innovation. The first approach depend

Deep Learning is a division of Machine Learning where machine learns how to classify tasks that the humans do naturally. DL uses text, audio and visuals to accomplish accuracy in decision making capability. It is the DL technology which achieves high level of accuracy in recognition of objects within images equivalent or better than humans. DL analyses large sets of data which are labeled datasets using substantial amount of computing power. DL further explores several hidden layers of neural networks as shown in the diagram below in figure 1. Nodes are interconnected deeply which are explored in DL to extract the feature from the data or image without extracting it manually. Figure 1: Neural network with thousands of hidden layers of interconnected nodes, explored through deep learning to recognize unexplored feature. How DL Works? Deep Learning uses neural network architecture and large sets of data are fed to DL models in order to learn directly from the labeled data without human i

 Considering the potential of AI in offering services, it makes technology adaptable through real time learning with target systems. AI has been deployed in a plethora of business sectors for decision making. AI is capable of making the target system act in the most suitable way in order to facilitate the businesses. For example, industrial robots are used in supply chain management like robot arm and service robots are used in hospitals for cleaning. Thus, robots have evolved into more personalized service systems with enhanced autonomy. Torresen has discussed the ethical considerations that contribute to the impact of AI systems on future. He has beautifully explained that the ideas of travelling under water, away from Earth and around the Earth, which were fictitious till some years ago, have been materialized by scientists. Technologically inspired science fiction in media like books and movies has motivated the researchers to advance in this technology further as well as work on i

 Artificial Intelligence is the study and implementation of actions on computational devices which require human intervention. AI captures the intelligence and uses it in computation technology. Robert Plant stated “if Socrates is a man and all men are mortal, then it can be inferred that Socrates is mortal”. Similarly, AI works on the principle of transitive dependency. Human activities are recorded as the acceptable standard of decision making. Machine intelligence is built over those records and decisions are made by the intelligent machine which work very similar to humans. Basic Benefits to Healthcare workers and patients Software applications on Health care system are advantageous to the healthcare facilities, healthcare workers and patients. Some of the benefits of AI in health domain are The information can be quickly accessed with reduced errors. Healthcare workers can coordinate better among themselves reduced need of visiting healthcare facility AI offers better education an

  Artificial Intelligence is becoming prevalent in all genre of life. As education, healthcare is another potential field where AI can perform certain key healthcare activities such as diagnosing disease, patient monitoring, etc. Healthcare data has been increasing exponentially and it requires predictive analytics with precision. AI can perform healthcare tasks ( Davenport, 2019)  equivalent or better than human beings. This article discusses the relevance of Artificial Intelligence in the field of healthcare, its impact and the use of information processing in supporting this field. ML & NLP The various technologies of AI which are relevant to the field of healthcare include neural networks and deep learning, natural language processing, rule-based expert systems, robotic process automation and robots. AI focuses on diagnosing and treating disease. However, its integration with clinical workflow and medical records in order to acquire diagnosis equivalent to human diagnosis i

  Artificial intelligence is a means to perform human-like operations through the use of machines. The machines can learn from experience using this technique. Computers can be trained to achieve particular tasks by processing and analyzing lots of data and recognizing patterns in it. AI has the capability to transform the world. It has led to numerous innovations such as connected Internet of things, autonomous vehicles and the like. AI can even contribute to help humans to experience feelings by connecting to the brain through complex brain interfaces. Commerce, transportation, cybersecurity and healthcare are a few of the systems revolutionized by AI. Security and explanation of AI systems can be measured and enhanced by fundamental research. Standards have been developed to ensure innovation, trust-worthiness and confidence in AI systems. Description AI combines big data with intelligent algorithms and iterative processing to learn from patterns within the data automaticall