When I first started learning about Artificial Intelligence, I believed it was a field primarily for programmers, data scientists, and technology professionals. Coming from a non-IT background, I was unsure whether I could understand the concepts or keep pace with the rapidly evolving world of...
When many people hear the words “Artificial Intelligence,” they immediately think it is only for programmers, data scientists, or technology experts. I used to think the same way. However, after starting my learning journey, I realized that AI can also be explored by beginners, students, and...
IBM announces the general availability of watsonx.ai version 2.3 (December 15, 2025) . Watsonx.ai is an enterprise-grade AI development studio that runs on an open and trusted hybrid cloud infrastructure and helps developers operationalize and scale the development of AI applications by...
AI Model Comparison: IBM Granite, Meta LLaMA, and Mistral This blog provides a comparative overview of three prominent AI models: IBM Granite, Meta LLaMA , and Mistral. It highlights their key characteristics, architectural differences, training methodologies, strengths, and weaknesses,...
Transfer Learning in Generative AI: Powering Smarter Models with Less Data In the rapidly evolving landscape of artificial intelligence, transfer learning stands as a transformative approach that bridges advanced research with practical real-world applications. Especially in the realm...
Transfer Learning in Generative AI.pdf
IBM Research and the Horizon Europe Embed2Scale consortium are inviting the AI community to redefine and advance compression for Earth Observation data. The exponential growth in satellite imagery means that storing, transferring, and analyzing these vast datasets is...