Category: AI

  • My 2023 Year Reflection

    My 2023 Year Reflection

    As 2023 ends, I’m grateful for a year filled with growth, accolades, and opportunities in AI and data science. Highlights include: LinkedIn Top Voice Recognition: An invitation-only group of experts across the professional world, a proud moment reinforcing my commitment to driving meaningful discourse. Forbes Technology Council: Invited to join the council. A network of…

  • India’s Large Language Language: Challenges and Opportunities

    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…

  • World’s first technology for real-time CPU and GPU processing optimization 

    World’s first technology for real-time CPU and GPU processing optimization 

    Fujitsu developed the world’s first technology for real-time CPU and GPU processing optimization to address global GPU shortage by maximizing the efficiency of existing computing resources, which is essential for generative AI and deep learning applications. Transformative HPC Systems:Our new parallel processing technology enables the real-time switching of multiple program executions in HPC systems. We’ve…

  • Connect with Supply Chain player and NeuroSymbolic AI

    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…

  • Digital Revolution In Retail: How Computer Vision Is Leading The Way

    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…

  • Stack Overflow introduces OverflowAI

    Stack Overflow introduces OverflowAI

    Stack Overflow introduces OverflowAI, inserting AI into their public & Teams platform, along with IDE integration to make 58M Q&As developer friendly. 𝐤𝐞𝐲 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬: 1. 𝐀𝐈-𝐛𝐚𝐬𝐞𝐝 𝐒𝐞𝐚𝐫𝐜𝐡: Stack Overflow is revamping its search engine with AI, aiming for more relevant and useful results. 2. 𝐓𝐞𝐚𝐦𝐬 𝐒𝐞𝐚𝐫𝐜𝐡 𝐔𝐩𝐠𝐫𝐚𝐝𝐞: The advanced search will extend to Stack Overflow for…

  • 𝐅𝐫𝐨𝐦 𝐌𝐢𝐭𝐡𝐚𝐢 (𝐬𝐰𝐞𝐞𝐭𝐬) 𝐭𝐨 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠

    𝐅𝐫𝐨𝐦 𝐌𝐢𝐭𝐡𝐚𝐢 (𝐬𝐰𝐞𝐞𝐭𝐬) 𝐭𝐨 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠

    In the heart of Nagpur, Meena runs a reasonably small sweet shop. She learned to make local sweets from her grandmother, especially an expert in Santra Barfi. As she goes about making sweets, her radio is her companion, filling her with news from around the world. One day, the radio was buzzing with something called ‘Generative…

  • Federated Learning: A World of Decentralized Data Science Tools and Libraries

    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…

  • Homomorphic Encryption: The Future of Secure Data Exploration

    Homomorphic Encryption: The Future of Secure Data Exploration

    𝐏𝐢𝐜𝐭𝐮𝐫𝐞 𝐭𝐡𝐢𝐬: You have a wealth of valuable data at your fingertips. This data can shape strategies, drive decision-making, and lead significant breakthroughs. However, you can’t share this data directly with others for analysis due to stringent privacy regulations or organisational policies. Here’s where Homomorphic Encryption, a modern cryptography technique that was developed to address…

  • Six Stages of AI Growth: Towards A Future of Human-like Learning and Decision-Making

    Six Stages of AI Growth: Towards A Future of Human-like Learning and Decision-Making

    Have you ever imagined if AI could learn and grow like a human does? A rational AI agent grows in theory through six distinct but interconnected stages that aren’t universally accepted or identified in the AI community but are preferred among other methods. I am trying to oversimplify it. Here’s how each stage goes: 1.…

  • AI in Therapy: Transforming Mental Health with Large Language Models

    AI in Therapy: Transforming Mental Health with Large Language Models

    𝐏𝐢𝐜𝐭𝐮𝐫𝐞 𝐭𝐡𝐢𝐬 – Large Language Models (LLMs) being used to help in psychotherapy. The idea is interesting and closer to reality than you might think. I recently read a suggested draft paper that explored the many ways LLMs could be put to work: 𝐏𝐬𝐲𝐜𝐡𝐨-𝐝𝐢𝐚𝐠𝐧𝐨𝐬𝐭𝐢𝐜 𝐚𝐬𝐬𝐞𝐬𝐬𝐦𝐞𝐧𝐭𝐬: Aiding in the identification of conditions like major depressive disorder…