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Artificial Intelligence

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What Is n8n? Practical n8n Use Cases for E‑commerce, Real Estate, Hospitality & Agencies

Leave a Comment / Technology, Artificial Intelligence, blog /

What Is n8n? Practical n8n Use Cases for E‑commerce, Real Estate, Hospitality & Agencies Automate the laborious tasks. Allow your team to focus on actual work. If your staff spends hours every week downloading reports, putting data into spreadsheets, sending repetitive emails, and updating the same systems, it’s not a people issue, but rather a […]

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Causal Machine Learning: Unveiling the Power of Cause-and-Effect Relationships

Leave a Comment / Artificial Intelligence, blog, Technology /

Causal Machine Learning: Unveiling the Power of Cause-and-Effect Relationships In recent years, machine learning (ML) has made extraordinary strides in its ability to predict outcomes based on patterns found in data. However, predicting outcomes based on correlations does not always equate to understanding causal relationships. Causal Machine Learning aims to bridge this gap, offering a

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AI for Edge Devices: Unlocking the Power of TinyML

Leave a Comment / Artificial Intelligence, blog, Technology /

AI for Edge Devices: Unlocking the Power of TinyML In the realm of artificial intelligence (AI), a revolutionary shift is taking place, one that is bringing AI closer to the edge. TinyML, or Tiny Machine Learning, refers to the deployment of machine learning (ML) models directly on microcontrollers and edge devices. Previously limited by the

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Few-Shot and Zero-Shot Learning: Redefining How Machines Learn

Leave a Comment / Artificial Intelligence, blog, Technology /

Few-Shot and Zero-Shot Learning: Redefining How Machines Learn Artificial Intelligence has made huge strides in the past decade, but one major limitation remains: its dependency on massive amounts of labeled data. Traditional machine learning models need thousands or even millions of examples to perform well. However, in the real world, such large labeled datasets are

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Adversarial Attacks on AI: The Hidden Threat Behind Intelligent Systems

Leave a Comment / Artificial Intelligence, blog, Technology /

Adversarial Attacks on AI: The Hidden Threat Behind Intelligent Systems Artificial Intelligence has become the backbone of modern technology, from self-driving cars and facial recognition systems to voice assistants and medical diagnosis tools. However, with great power comes great vulnerability. A growing concern in the AI world is adversarial attacks, where tiny, often invisible changes

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Energy-Efficient Deep Learning (Green AI)

Leave a Comment / Artificial Intelligence, blog, Technology /

Energy-Efficient Deep Learning (Green AI) Artificial Intelligence has brought groundbreaking innovations, but behind these intelligent systems lies a growing challenge: energy consumption. The large deep learning models require huge computational power and thus they consume a lot of electricity and generate carbon emission. This fact has given birth to the concept of Green AI which

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Neurosymbolic AI: Bridging Logic and Learning for Smarter Machines

Leave a Comment / Artificial Intelligence, blog, Technology /

Neurosymbolic AI: Bridging Logic and Learning for Smarter Machines Artificial Intelligence has evolved rapidly in recent years. Machines now have the ability to identify faces, translate languages and even produce real art. Yet, despite these impressive capabilities, traditional deep learning systems still struggle with reasoning, understanding logic, and making decisions based on cause and effect.

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Graph Neural Networks (GNNs) in Real Life

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Graph Neural Networks (GNNs) in Real Life In today’s digital world, data rarely exists in isolation. Whether it is people interacting on social media, financial transactions connecting banks, or atoms forming molecules, everything is linked. These relationships form complex networks, also known as graphs. To make sense of these interconnected systems, researchers and businesses are

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Neural Network Compression & Quantization

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Neural Network Compression & Quantization Artificial intelligence (AI) has evolved rapidly in recent years, and deep neural networks have become the backbone of this revolution. Neural networks can be found in image recognition and voice assistants, in medical imaging and autonomous driving. However, there is a challenge, large AI models are computationally expensive.They need large

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