
.png)
Physics Colloquium: Unmasking the Universe with Neural Nets
Abstract: Modern maps of the Universe reveal that on large scales, galaxies are not uniformly distributed, but trace out intricate patterns—filaments, […]
.jpg)
POL Colloquium | Book Talk
Title: The curious case of the powerful, powerless sarkari official: A discussion on Yamini Aiyar's book "Lessons in State Capacity from […]
.jpg)
Economics Department | Weekly Seminars
Dear All, The Department of Economics invites you to their weekly seminar on Wednesday, September 17, 2025. Time: 1:40 PM to 2:50 PM Venue: AC-04-301 Speaker: Saumya Deojain Title: Greener Thy Neighbor? […]
.png)
The Future of Japan-India Partnership
Minister Abe's talk will focus on Prime Minister Modi’s recent visit to Japan. The talk will provide insights into the key […]

Invitation: IR Department Talk | The Future of Japan-India Partnership
Abstract: Minister Abe's talk will focus on Prime Minister Modi’s recent visit to Japan. The talk will provide insights into the key […]
.png)
Mathematics Colloquium
Dear All, The Department of Mathematics invites you to a colloquium on September 18, 2025 (Thursday). Title: Connected Components of Berkovich Fixed Locus: Potential […]

Ethical Practices in Research: IRB Workshop for 4th Year UG Students
In accordance with the university’s ethics protocol (mandated in academic year 2023-2024), all 4th-year undergraduate students in the Humanities and […]
.png)
CS Colloquium: Democratizing AI Across Languages: The Promise of Universal Language Models
Abstract: Foundation models have fundamentally transformed natural language processing, evolving from task-specific systems to powerful universal language learners that demonstrate remarkable […]

SCDLDS talk
Colloquium announcement "Old dog, Old tricks, New show: Gradient methods for training Kernel Machines are Very Fast." by Parthe […]
 (1).jpg)
Abhivyakti
Abhivyakti : A Book Discussion Forum Navtej Sarna in Conversation with Kanika Singh on her book "The Story of a Sikh […]

Old dog, Old tricks, New show: Gradient methods for training Kernel Machines are Very Fast – Parthe Pandit
Colloquium announcement "Old dog, Old tricks, New show: Gradient methods for training Kernel Machines are Very Fast." by Parthe […]
