/.AI_Talks 2026
14:00 - 17:00 IST
PAST
The Beginner's Guide to Machine General Intelligence.
While the accessibility of modern AI tools has grown rapidly, understanding their underlying architecture remains paramount. We invite you to a comprehensive study of the Mathematical Foundations of Machine Intelligence. This workshop is designed to transition participants from passive users to informed architects of AI systems.
Event Details
- Venue: Asima Chatterjee Hall
- Hosted by: Shuvam Banerji Seal
Schedule Breakdown
Day 1: Origins
- Date & Time: 17th Jan '26 | 2:00 PM — 5:00 PM
- Topics: Counting numbers to LLM Inference. Classifiers, Resource Mapping, and Image Generation from scratch.
Day 2: The Future
- Date & Time: 18th Jan '26 | 2:00 PM — 5:00 PM
- Details: This session involves hands-on programming (carrying your laptop is necessary, but you can do everything on your phone as well).
- Topics: Mastering Boosting Algorithms and building autonomous Agents that act on your behalf.
- Paper Discussion: We discussed the new hashing algorithm published in "Optimal Bounds for Open Addressing Without Reordering" (2501.02305). The paper mathematically showed improvements on earlier greedy hashing algorithms from $O(1/\delta)$ to $O(\log^2(1/\delta))$.
The Prerequisites
Before we hit the GPU, verify your foundation. These tracks cover the path from Assembly & Compilers to the logic needed for Neural Networks:
"Artificial Intelligence is like a telescope for the mind. But like a telescope, if you don't know where to point it, you just see static."