India wants to stake its claim in the three way AI dominance race with U.S. and China. Foundation models remain key to this race.
India’s Tryst with AI: White Paper Offers Roadmap for Foundation Models
Rutvik is a freelance technology writer with a background in computer science. He graduated in 2022, after which he spent time working in the IT industry—an experience that informs his approach to writing on technology. He has a keen interest in AI and emerging technologies, particularly how they translate into real-world use and their broader social impact. Through his work, he aims to break down complex ideas, making technology more accessible to a general audience.
India wants to stake its claim in the three way AI dominance race with U.S. and China. Foundation models remain key to this race.
As AI power centralises in the US and China, “Sovereign AI” concept at AI Impact Summit 2026 promises countries digital self‑reliance. India’s full‑stack AI strategy will test whether that promise can be turned into practice.
An explainer article dissecting the term AI Browser, how does it differ from a regular browser and what future holds for internet search dynamics.
OpenAI has released GABRIEL, an open-source toolkit that uses GPT to turn unstructured text and images into measurable data. Designed for social science research, the tool enables large-scale analysis of qualitative material while maintaining human-level evaluation accuracy.
Seedance 2.0, an AI model released by Bytedance has caught the world’s attention with its hyper realistic models.
How intelligent assistants like Robonaut and CIMON are paving the way for AI companions that could one day act as an astronaut’s doctor, engineer and counsellor on months‑long missions to Mars and beyond.
AI models are transforming industries. However, when even their creators can’t fully explain how they work, trust, safety and regulation all hit a wall. This is the “black box” problem.
From Shannon’s “chess machines” to Deep Blue and AlphaZero, chess has been the sandbox where researchers turned abstract ideas about machine intelligence into systems that could challenge the best human minds.