Category: Deep Learning
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India’s Large Language Language: Challenges and Opportunities
Developing Large Language Models (LLMs) for India’s rich linguistic spectrum faces unique challenges, like diverse languages and dialects, each with its grammar, syntax, cultural context, sensitivity, and local expressions. Additionally, the predominantly oral nature of many Indian languages and the limited electronic documentation complicate data collection, especially for less-spoken languages. Linguistic proficiency and cultural insight…
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Connect with Supply Chain player and NeuroSymbolic AI
While delivering a session to a Supply Chain player, I was pleasantly surprised by questions about Neurosymbolic AI. It’s exciting to see businesses eager and thinking to leverage such emerging tech, and indeed it’s a promising sign for the future of our industry. Every enterprise relies on effective supply chain management. Supply chain management isn’t…
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Digital Revolution In Retail: How Computer Vision Is Leading The Way
Computer vision (CV) is a branch of artificial intelligence (AI) that empowers computers to interpret and understand the visual world by analyzing images and videos, leading the digital revolution in the ever-evolving retail landscape. With its advanced and growing capabilities, CV is reshaping retail processes and offering consumers an unparalleled shopping experience. Read the complete…
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Federated Learning: A World of Decentralized Data Science Tools and Libraries
Federated learning (FL) is an evolving landscape that revolves around learning from decentralized data. In essence, FL lets you train models across different devices or servers while holding the data locally, ensuring privacy. Below are the some of the libraries and tools to practice FL. PySyft is a Python library that integrates with PyTorch, employing…
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Navigating the Data Revolution: The Rise of Data-First Cultures
In an age defined by information, the true currency of successful businesses is data. The concept of a ‘data-first culture’ has taken centre stage, revolutionizing how organizations operate. It is an organizational mindset that values data as a cornerstone for insights, innovation, and efficiency, serving as a linchpin for decision-making processes. Companies that embraced data-first…
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AI Conference Mania: A Call for Substance Over Size
In the captivating world of technological innovation, the rise of artificial intelligence (AI) has sparked a phenomenon that can only be described as the ‘AI Conference Mania’. An array of AI conferences have been popping up across the globe, each making grand claims to be the “biggest” and “most important” of them all. But, amidst…
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AI: Unstoppable Force or Ultimate Tool? Can We Reach a Point of No Return?
The AI world is evolving at breakneck speed but could AI ever become uncontrollable and impossible to turn off, i.e., a point of “runaway” or “hard takeoff”. This question has ignited fervent discussions among experts and enthusiasts alike. Let’s dissect the debate and uncover the implications for our future. The Unstoppable AI Hypothesis Imagine a world…
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The PropTech Revolution and its Impact on India’s Economic Growth
Digital transformation, underpinned by increasing urbanization and disposable incomes, has not spared the traditionally old-world real estate industry. PropTech, or technology and digital innovations aimed explicitly at revolutionizing the property sector, is leading this transition in India. Since its emergence in the 21st century, PropTech has evolved into a vibrant ecosystem of digital solutions and…
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Artificial intelligence takes centre stage in India
The Indian AI ecosystem is experiencing an unprecedented surge thanks to a potent mix of government initiatives, educational prowess, a thriving start-up landscape, and demographic advantages. Read the full News Letter on LinkedIn News. However, there is a 51% talent gap between the current 416K Data Science & AI professionals and the total talent demand of 629K. 🎯Key Drivers…
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Tackling security threats and building a resilient machine learning ecosystem
Machine learning (ML) is transforming industries, but security threats have become a growing concern. Adversarial attacks, model inversion, and data poisoning can have severe consequences in sensitive sectors like healthcare and finance. Ensuring the security of ML models is crucial for improving their reliability. This article explores common security threats faced by ML systems, best…