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AILabPage is into research and AI-based product development across the industry. Our lab work is completely influenced by AI and its subfields, i.e., machine learning and deep learning.

Our primary focus is on providing consulting services in Data Intelligence services such as big data analytics and data science, along with, executive training. We conduct international conferences, and seminars centered around emerging technologies.

AILabPage has its primary focus on artificial intelligence, including machine learning, deep learning, and neural networks, as well as quantum computing principles, theoretical physics, photography workshops, and concise instructional programs.

Recent Posts

2021 The Year of Transformers – Deep Learning

Transformers are a type of neural network architecture that has gained significant popularity due to their unwavering dedication to achieving optimal results in completing assigned tasks. Deep learning, which is widely recognized as a powerful tool, has significantly transformed the way we operate, proving to be both a lifesaver and a solution to disaster. Big players like OpenAI and DeepMind employ Transformers in their AlphaStar applications. …

Deep Learning – Backpropagation Algorithm Basics

Backpropagation Algorithm – An important mathematical tool for making better and high accuracy predictions in machine learning. This algorithm uses supervised learning methods for training Artificial Neural Networks. The whole idea of training multi-layer perceptrons is to compute the derivatives of the error function or gradient descent with respect to weights using the backpropagation algorithm. This algorithm … Continue reading Deep Learning – Backpropagation Algorithm Basics

2020 The Year of Emerging Technologies

The year 2020 will be remembered as a significant period in human history due to its remarkable strides in progressive innovation, more commonly referred to as “Emerging Technologies.” In this modern era, industrial and business practitioners are expected to establish robust foundational structures for the integration of SMAC (Social, Mobile, Analytics, and Cloud) architecture. It is projected that the prevalence of selection will attain its apex during the decade spanning from 2010 to 2020. The implementation of computerized transformation is …

Deep Learning – Introduction to Generative Adversarial Neural Networks (GANs)

Generative Adversarial Networks (GANs) – A very young family member of Deep Neural Networks Architecture. Introduce by Ian Goodfellow and his team at the University of Montreal in 2014. GANs are class of unsupervised machine learning algorithm.  Adversarial training “The most interesting idea in the last 10 years in the field of Machine Learning.”            … Continue reading Deep Learning – Introduction to Generative Adversarial Neural Networks (GANs)

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