Category: Artificial Intelligence
2019 The Year of AI & Digital Transformation
Eventually, AI will free up humans for higher-value tasks and drive employment. In the end, a powerful position will be created by AI for companies who believe and trust in it. A great value and product proposition will be created to add value for its customers, end users, and investors simultaneously.
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Machine Learning(ML) – Introduction to Basics
Machine learning techniques are accelerating almost daily to bring good value to the businesses of today. It is revolutionizing the way we do our business and what should be done to improve upon it. ML develops its own encompassing strategy from the experience it comes across over the period.
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Deep Learning – Introduction to Generative Adversarial Neural Networks (GANs)
GANs consist of two neural networks i.e. Generator that generates a fake image of our currency note example and a disa criminator that classifies it into real or fake. The generator’s role is to map the input to the desired data space (image as in the example above). On the other hand second neural network models i.e. the discriminator classify the output with probability as real or fake compared with real datasets.
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Artificial Intelligence As A Transformative Technology
AI is “A somewhat successful attempt to create intelligent machines that work and react like humans.” It is created by humans to behave like a human helping to make human life better. How AI will be transforming the future, to elaborate on this I am sure we all will agree even a couple of books will not be enough. In just five next years it would surpass all the innovations, and technology market work. The handshake of this emerging technology bundle with quantum computing will be a blessing to see.
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Machine Learning – Introduction to Reinforcement Learning
Reinforcement learning is closely related to dynamic programming approaches to Markov decision processes (MDP). MDP solve a partially observable problem. POMDPs received a lot of attention in the reinforcement learning community. As its a process of discrete-time stochastic control to provide a mathematical framework for decision-making modelling.
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Deep Learning (DL) – Introduction to Basics
AILabPage defines Deep learning is “Undeniably a mind-blowing synchronisation technique applied on data with computing power, skills and experience which practically has no limits“.
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Machine Learning – Introduction to Unsupervised Learning
Unsupervised learning is classified as one of the three categories of machine learning, alongside Supervised Machine Learning, and Reinforcement Learning. Specifically, it falls under the domain of Unsupervised Machine Learning (UML). The predominant technique utilized in the Unified Modeling Language (UML) is cluster analysis. Cluster analysis is employed as a means of discovering concealed patterns or categories within data beyond conventional analytical methods.
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Machine Learning – Introduction to Supervised Learning
AILabPage defines Machine Learning as “A focal point where business, data and experience meets emerging technology and decides to work together”. SML through historic data set is able to hunt for correct answers, and the task of the algorithm is to find them in the new data. Supervised Machine Learning is
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Machine Learning – Introduction to Quick and Accurate Machine Translation
Machine translation model renders text from one natural language to another. There are various MT models developed to effectively drive translation based application souls. To accomplish this task, experts rely on the powerful approaches used to build these models..
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Artificial Intelligence is the Future for CyberSecurity
The Appeal of AI for Cyber Security has extremely good reasons like automation of operational tasks, develop & delivering predictive capabilities, mitigating human biases behaviour and derive actionable intelligence. On the down side AI requires high volumes of high quality data to learn.
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Introduction to Powerful Machine Learning Algorithms
Machine learning is a subset of Artificial Intelligence that borrows principles from computer science. It is not an AI though; It is the focal point where business and experience meet emerging technology and decides to work together. Each type of machine learning provides a strategic and competitive advantage but the availability of quality data basis which technique is chosen is far more important. Types of machine learning algorithms and which one to be used when is extremely important to know. The goal of any machine learning task ..
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How Cognitive Ergonomics of AI Exciting FinTech
The significance of cognitive ergonomics cannot be overlooked in the FinTech sector. Before we begin our conversation, it is crucial to clarify any confusion about the topic. Through “Cognitive Ergonomics”. Financial engineers are combining data from mobile phones, social networks, and almost every step we take in real life to transform FinTech into new industries. We are assuming AI is more human than it is. Areas like cybersecurity …
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Data Intelligence as a Service – DataIntelligence
There are certain market dynamics which determine the growth of the data and its related analytics. Thats where Data Intelligence’s adaptive dynamics comes into play to assess the factors driving organisation to adapt their existing, profitable lines of business. This help them stay relevant in the future of the rapidly evolving world and enormous helper for Blue Ocean shift strategy.
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2018 Year of Intelligence – Artificial & Augmentation
Year 2018 will be known as year of Artificial Intelligence and Intelligence Augmentation for sure.We used to think artificial intelligence was a silly sci-fi concept but when you really look into it, it seems like its been slowly encroaching into most areas of everyday life! AI would become just a computer inside the robot or another software or a brain siting out of human body.
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Demystifying AI, Machine Learning and Deep Learning
The sphere of artificial intelligence has evolved beyond its initial academic beginnings and is now a vibrant and wide-ranging area of exploration. Lately, companies have also incorporated artificial intelligence into their products and services. It is presently under human supervision that artificial intelligence operates and I strongly desire that this collaboration will continue in the near future. The use of AI systems to take charge of humans…
