Event Calendar

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CS Colloquium: Security and Privacy of Machine Learning

Abstract: Robust Machine Learning (ML) is arguably the most important technical challenge of current times, to address growing concerns about […]

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Physics Seminar: Proposals for Table-Top Tests of Quantum Gravity

Zoom Link:https://zoom.us/j/99595293606?pwd=H2hqKiNd2LPLYds2hbOFyrMGGvXiqg.1   Abstract: The search for a unified theory that describes quantum matter and gravity is a long standing quest […]

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Psychology PhD candidacy Presentation

Title: Intersectional Disadvantage in the Therapeutic Context: How Clients’ Social Identities Affect Therapists’ Attitudes Abstract: Most psychotherapy research views therapists and clients individually, […]

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Economics Department | PhD Presentation of Synopsis | Dhrubajyoti Chakraborty |

Dear All,   The Department of Economics invites you to the Ph.D. Presentation of Synopsis by  Dhrubajyoti Chakraborty  on " Essays on Choice and Games" Date: 21st July 2025, […]

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CS Colloquium | Learning Symbols for Trustworthy AI

Venue: AC-04-LR-002 Abstract: Recent advances in deep learning have led to novel AI-based solutions to challenging computational problems. Yet, the state-of-the-art models […]

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Conclave 3.0

What began as a small discussion in 2023 has evolved into an annual, growing movement: a conference hosted by the […]

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CS Seminar: Introduction to Process Synchronization

Abstract: Modern operating systems and hardware support multi-tasking. This talk provides a basic introduction to processes and process synchronization, which play […]

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Enhancing Emotional Resilience in Students

Academic life comes with more than just classes and exams. Students often carry the invisible weight of self-doubt, homesickness, performance […]

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Physics Seminar: Out-of-equilibrium dynamics of self-propelled synthetic microswimmers

Abstract: In this talk, I will explore the dynamics of synthetic colloidal spheres driven either by external fields or by self-generated […]

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[CS Colloquium] Ashesh Ashesh | Deep Learning for Microsocopy Data

Title: Semantic Unmixing of Fluorescence Microscopy Data using Deep Learning Abstract: Fluorescence microscopy is limited by optics, fluorophore chemistry, and photon exposure, […]

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CS Seminar: Adversarial Perturbations As Useful Tools in Deep Learning

Abstract : Deep learning models have achieved super-human performance on a wide range of vision tasks; however, they remain inherently vulnerable […]

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Philosophy Colloquium: Scope Ambiguities in Large Language Models

All are invited to this Philosophy colloquium talk at 1:30 PM on Wednesday 27 August in AC04 LR302. Title: Scope Ambiguities […]