Space technology stands as the epitome of human technical endeavour — yet it remains an arena where only the most rigorously proven innovations endure. The qualification process is exacting, the tolerance for error is virtually zero, and many promising breakthroughs never make it past the launchpad. At ISRO, however, we recognise that Artificial Intelligence offers a rare opportunity to leapfrog capabilities, provided it is meticulously engineered to meet the uncompromising standards of space. This is the journey of a small, young, and determined team that achieved the landmark of securing ISRO’s first-ever patent in AI algorithm for high-precision inspection in critical space systems. The team has also developed AI capabilities to forecast and provide prognosis of spacecraft health , which promises to be a vital safeguard for these expensive and irreplaceable national assets. Their innovations have reached far beyond spacecraft — positively impacting thousands of students in Bihar and other states through AI-driven educational initiatives. And their vision reaches even further — into the philosophical depths of how AI perceives, reasons, and models reality. From advancing ontology engineering to challenging the very epistemology of AI, this team is crafting new “world models” for a “new world” , one in which Artificial Intelligence is not merely adapted to space, but becomes an indispensable engine for its future.

In a world crowded with chatbots that just talk, the future belongs to AI that acts. This is M — India’s first open, agentic AI platform. Built on the best open-source reasoning and Mixture-of-Experts models, running unquantised for maximum performance. Powered by our custom agentic middleware for tool calling, web search, document inference, and deep integration with business APIs — so it doesn’t just answer, it delivers outcomes. In this session, you’ll see M working live — in production — executing real-world tasks, orchestrating services, and delivering results in real time. No simulations. No recordings. Just real action. Born in India. Open to the world. AI, built to act.

Malai will speak about the need to prepare for an AI-driven future by building both technical capabilities and core human skills. As outlined in LinkedIn’s Skills on the Rise 2025 report, demand for AI, data analysis, cloud, and cybersecurity skills is growing. But as AI handles more routine tasks, human strengths like creativity, problem-solving, empathy, and communication become critical. He will also touch on different needs by career stage. Fresh graduates should focus on digital fundamentals and communication, while experienced professionals must stay adaptable and open to new ways of working. With one of the world’s youngest workforces, India has a strong opportunity to lead in building AI-ready talent. The key will be continuous learning, adaptability, and a culture that values experimentation and human insight.

In this session, you will learn about the end-to-end architectural recommendations and the best practices for designing a High-Performance data center for AI workload. This session into the integration of high-performance computing, ultra-low-latency networking, and high-speed storage solutions tailored for AI applications. Attendees will gain insights into scalable designs that accommodate the unique demands of AI, ensuring efficiency and performance

As AI and Generative AI reshape industries, developers are navigating both excitement and uncertainty. Will AI supercharge developer productivity or replace traditional coding roles? How should today’s tech talent evolve to remain relevant and thrive in this fast-changing landscape? This panel brings together leading tech influencers to decode the current scenario, predict the future of developers in the IT industry, and explore the real impact of AI on careers, creativity, and opportunities.

Neha Shivran breaks down how machine learning enables rapid and smarter credit decisions in volatile markets by providing real-time assessment, enhanced accuracy, and proactive fraud detection

India’s three‐stage nuclear program hinges on fast breeder reactors, which unlock vast energy potential but face challenges in fuel cycle management and reactor safety. To bolster safety, AI is being deployed across multiple fronts: early detection of hydrogen explosions during used‐sodium disposal sprays, where models spot dangerous gas buildup; real‐time sensor analytics to recognize sodium leak aerosols before they escalate; predictive maintenance algorithms that forecast component lifetimes and flag anomalies ahead of shutdown thresholds; and computer‐vision systems that ensure operators don mandated safety gear, instantly alerting on any violations. Looking ahead, we plan to integrate generative AI to further advance these safety applications with adaptive scenario simulation and intelligent anomaly response.

A live demonstration: Music composition with and without AI while making people sing. Content: I compose a quick musical piece from scratch. The composition will use extracts from the audience singing as one, storytelling, sounds of Cypher (Chatter, Laughing, vehicles etc) . All these will make a track, composed live. The demo then moves onto AI generated music done by prompts leaving the audience with philosophical questions on what really brings us together.

Explore how AI algorithms enhance real-time data processing and image analysis in GalaxEye's hybrid imaging satellite

The movement for Sovereign AI is accelerating. Meeting its promise requires vertically integrated AI stacks—spanning data, models, and reasoning systems—that remain sovereign while adhering to shared scientific principles around which global research communities can coalesce. This talk presents BharatGen as a sovereign-yet-shared effort to make AI work for the many: creation of datasets, benchmarks, and models that natively support Indian languages, dialects, and code-mix across text, speech, and vision; data pipelines grounded in local realities; and frugal methods that reduce cost and lower barriers. We outline our journey to date across language infrastructure, efficient training and distillation, and early sector pilots. The R&D deep dive will draw from some of our recent work on cross-lingual distillation for low-resource languages, tokenization/phonetic design for code-mix robustness, or trustworthy document AI with visual grounding focusing on robustness under dialect/code-mix shift, and latency/cost trade-offs. We hope to inspire principled research to build people-serving AI.