Category: Artificial Intelligence
The ABC of Deep Learning – A New Frontier in The Digital Age
Deep learning can learn and understand complex patterns in a way that’s similar to how humans can do it. Deep learning models can understand raw data without any help, but regular machine learning methods need people to recognize specific features before using the data to learn. We do this by using deep neural networks, which have many layers and work like the human brain.
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GRU – Gated Recurrent Unit Architecture
The foundational structure of the Gated Recurrent Units (GRUs) represents a recurrent neural network (RNN) architecture utilized within the realm of deep learning and also provides an enhanced computational advantage over the Long Short-Term Memory (LSTM), affording it a distinct preference in specific domains.
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The Fundamentals Of Machine Learning
The main purpose of ML (machine learning) is to create an automatic data model for the purpose of analysis. Thus ML is to create a system that can learn from the data according to the algorithm used. The result can be found by mapping the output to the input or finding patterns/structures or learning by rewarding/punishing.
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Natural Intelligence to Demystify Artificial Intelligence
Natural Intelligence or Human Intelligence: We are all so preoccupied with producing, reading, taking, and using artificial intelligence by utilizing our natural intelligence that we hope there will be no time or need to reverse this tendency, i.e., employing artificial intelligence to generate natural intelligence.
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Conversational AI – Powerful, Dangerous and Useful
The primary focus of conversational AI is on developing intelligent solutions that can understand human language, interpret user goals, and deliver customized replies that are relevant to the circumstance. Conversational AI integrates multiple disciplines, such as NLP, machine learning, and dialogue management, to offer diverse and immersive conversational experiences.
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LSTM – Long Short Term Memory Architecture
LSTM is used to solve issues with RNNs processing extensive sequential data. Calling LSTM as an advanced RNNs is not wrong. LSTMs excel in processing sequential data with long-term dependencies. LSTM is utilized for tasks like sentiment analytics, language generation, speech recognition, and video analysis.
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Everything You Ever Wanted to Know About Artificial Intelligence
Artificial Intelligence is all about making machines smarter so that they can act and think like humans. Just look at the popularity of devices like smartphones, and smart fitness trackers to see how wholeheartedly consumers embrace products and services that can make their life smarter, easier, and more streamlined.
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Top 5 Deep Learning Applications on Social Media For Businesses
Deep Learning – “It is undeniably mind-blowing” machine learning technique that teaches computers to do what comes naturally to humans: learn by example. It can […]
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Not What You Think – Robots and Artificial Intelligence
Robot failure can occur for the basic and widely known reason that their machine learning models may not be precise enough or require extensive data and training to be precise. Robots excel in tasks that pose a substantial threat to humans, have low economic value, are menial in nature, and are significant in humanitarian endeavors with high risk involved. It is unlikely that robots or AI with advanced capabilities will replace our jobs in the next 50 years or beyond.
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Machine Learning – Challenges of Supervised Machine Learning
Supervised machine learning through historic data sets can hunt for correct answers, and the algorithm’s task is to find them in the new data. It uses labelled data with input features and output labels. The program uses labelled samples to identify correlations between input and output data. Output labels in supervised learning are called the “supervisory signal”.
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The Role of Powerful AI in the Future of Fintech
The advancement of technology and AI has allowed for the expansion of financial services beyond traditional banking. These endeavors have endeavored to clarify monetary services by focusing on precise and limited profit margins within this field. This statement refers to businesses that reach a large audience through multiple distribution channels, including mobile operators, manufacturers of mobile devices, retailers, and online marketplaces.
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Artificial Intelligence | A Hack for eCommerce Transformation
Artificial intelligence has become a significant factor in e-commerce’s current scenario. This study delves into the possibility of utilizing artificial intelligence (AI) to enhance individualized shopping encounters for customers in the retail sector. The study focuses on how retailers can use artificial intelligence technologies to improve customer gratification, allegiance, and interaction.
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The ABCs of Artificial Intelligence: Understanding the Basics
The collaboration among sciences like Artificial intelligence, Physics and Photography helps to improve how pictures are processed, how computers see things, how lenses work, and all Photography technology. Machines that are very clever and have been taught well can do things that people usually do with their minds, like understanding things, thinking logically, learning new things, and deciding what to do. AI helps machines become really smart by using tools and strategies. This tells us everything we need to make smart systems, both in theory and practice.
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Artificial Intelligence –The Technology Transformation Has Just Begun
We have seen driverless cars (not a Future Technology any more), voice automation in homes, and a lot more changes that clearly reflect how artificial intelligence has progressed rapidly and is a lot more than just a concept from our favorite sci-fi movies and books. With the outbreak of the pandemic, AI’s future is arriving much faster than the predictions. According to research scientists, Artificial Intelligence will be better than humans at translating languages by 2024..
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Intelligence Augmentation – Powerful or Dangerous
The start of the year 2021 came with lots of expectations that should bring huge advancement in the AI field. Now there has been a significant shift in perspective. AI appears to be gradually infiltrating various facets of our everyday existence.
