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 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 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) 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 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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AI for Audio Beyond Speech Artificial Intelligence has transformed how machines understand the world, not just through vision or language but also through sound. The audio aspect of AI is much more than speech, and while speech recognition systems such as Alexa and Siri have become household names, the world of AI has much more
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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 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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Machine Learning with Synthetic Data In the age of artificial intelligence, data is the fuel that powers machine learning. The more data you have, the better your models usually perform. But what happens when real-world data is too limited, too expensive, or too sensitive to use? That is where synthetic data steps in as a
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Top 10 Business Processes You Should Automate with Power Automate Time is money in our fast paced corporate environment today. Any manual job which consumes hours would be used in strategy, growth or customer care. That is where Microsoft Power Automate comes in: The tool that allows you to substitute the repetitive procedures with intelligent,
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