Archive · 6 Jan 2026
GenAI-ML Summit 2026 Focuses on Impact
The Chennai Mathematical Institute (CMI) and AlgoLabs are organizing the 4th GenAI-ML Summit on January 9 and 10, 2026.
This event will bring together over 250 leaders from different fields to talk about the future of AI.
The theme is 'From Innovation to Impact: Safe, Scalable and Specialised GenAI,' which means they will discuss how to use AI in real-world situations.
There will be talks by important people like Manish Gupta from Google DeepMind and Mohanasankar Sivaprakasam from IIT Madras.
The summit will also have interactive classes and discussions about topics like Small Language Models, AI safety, and the role of Forward Deployed Engineers.
The goal is to share knowledge and ideas about making AI safer and more useful for everyone.
The 4th GenAI-ML Summit will be held on January 9 and 10, 2026, organized by CMI and AlgoLabs.
Over 250 leaders from industry, academia, and government will participate to explore the future of AI.
The theme is 'From Innovation to Impact: Safe, Scalable and Specialised GenAI,' focusing on real-world applications.
Key speakers include Manish Gupta from Google DeepMind and Mohanasankar Sivaprakasam from IIT Madras.
The event will feature interactive masterclasses and panel discussions on topics like SLMs, AI safety, and FDEs.
- Who
- Chennai Mathematical Institute (CMI) and AlgoLabs
- What
- 4th edition of the GenAI-ML Summit
- When
- January 9 and 10, 2026
- Where
- Chennai, India
- Why
- To explore the future of autonomous agents, multi-modal AI, and responsible AI frameworks
- Organizers
- Chennai Mathematical Institute (CMI) and AlgoLabs
- Event Dates
- January 9 and 10, 2026
- Theme
- From Innovation to Impact: Safe, Scalable and Specialised GenAI
- Participants
- Over 250 leaders from industry, academia, and government
- Key Speakers
- Manish Gupta (Google DeepMind), Mohanasankar Sivaprakasam (IIT Madras)
- Organizations Involved
- Tiger Analytics, Vantage Research, Mindsprint
- Event Features
- Interactive masterclasses and panel discussions
- Topics Covered
- Small Language Models (SLMs), AI safety engineering, Forward Deployed Engineers (FDEs)