Research Seminar by Prof. Alessio Del Bue on Assistive and Embodied AI

We are delighted to invite you to an engaging research seminar presented by Prof. Alessio Del Bue from Università degli Studi di Genova. Details of the Event Speaker: Prof. Alessio Del Bue, Università degli Studi di Genova Topic: Assistive and Embodied AI Research at the Italian Institute of Technology (IIT) Date: Thursday, December 12, 2024

A Dialogue with the 2024 VinFuture Prize Laureates

Event date: December 7th, 2024 The VinFuture Prize, an annual international Science and Technology award organized by the VinFuture Foundation, celebrates groundbreaking scientific research and technological innovations. Following the 2024 VinFuture Prize Award Ceremony, this year’s Laureates will participate in an inspirational public dialogue on December 7th, 2024, at VinUniversity. Under the theme “Resilient Rebound”,

SECOM 2024: Advancing Electrochemical and Organic Materials

Dear Colleagues and Students, We are excited to invite you to the Symposium on Electrochemical and Organic Materials – SECOM 2024 on Materials and Devices for Green Energy and Electronics, taking place on November 23, 2024 at VinUniversity. Electrochemical and Organic Semiconducting devices are providing new and innovative solutions for various challenges facing society, such as increasing demand for low-cost sustainable

[Research Seminar] Prof. Joseph Halpern from Cornell University

Join Us for a Research Seminar by Prof. Joseph Halpern from Cornell University We are excited to invite our colleagues and students to an insightful research seminar by the esteemed Prof. Joseph Halpern from Cornell University. Topic: Distributed Computing Meets Game Theory: Fault Tolerance and Implementation with Cheap Talk Date and Time: Wednesday, November 06,

[Research Seminar] Foundation of Mixture of Experts in Complex and Massive AI Models

About the Talk: Since the release of the original Transformer model, extensive efforts have been devoted to scaling up the model complexities to take advantage of massive datasets and advanced computing resources. To go beyond simply increasing the network depth and width, Sparse Mixture-of-experts (SMoE) has risen as an appealing solution for scaling Large Language

[Research Seminar] Scalable Uncertainty: AI Needs to Know What it Doesn’t Know

About the Talk: Large models fuel impressive capabilities.  However, they currently do not know what they do not know, which is critical to the important challenges of exploration and alignment.  Knowing what is not known is essential, for example, to gathering informative data.  In this talk, I will discuss the need for scalable uncertainty and