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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Applying the 7 Crucial Conversations for Activating Purpose in AI Operating Models The Growth River Seven Crucial Conversations (7CCs®) framework provides a systematic roadmap for transforming teams and organizations. When applied to AI operating model development, these conversations help organizations move from pilot paralysis to scalable AI transformation. Here’s how to leverage this proven framework
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Retrieval-Augmented Generation (RAG) AI models like ChatGPT, DeepSeek, LLAMA are powerful, but they lack up to date knowledge or they cannot specifically answer if you want results related to yours data. RAG solves this problem by allowing you to communicate directly with your documents and data.RAG stands for Retrieval-Augmented Generation. We use Rag to add
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Introduction: The world is experiencing a remarkable transformation due to Artificial Intelligence (AI), or as some refer to it, _a_i_. With its impact extending across multiple industries, from autonomous vehicles to cutting-edge healthcare solutions, AI’s presence is undeniable. Elon Musk, a prominent advocate of AI technology, has shared valuable insights regarding the potential advantages and
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