Events

ISTD PhD Oral Defense Seminar by Haoran Li – Language models are critical to the advancement of natural language processing and general artificial intelligence. In this thesis, we aim to address the limitations of language models, particularly focusing on the exposure bias in Autoregressive (AR) models and the label bias in Non-Autoregressive (NAR) models.

ISTD COIL Seminar by Fan Liu & Felix Tong – This session will give you an overview of how technology, especially cybersecurity, is being adapted at Morgan Stanley. Speakers will then deep dive into the topic of digital signatures – the origin, history, and more importantly its current application in the banking industry and latest developments.

ISTD PhD Oral Defense Seminar by Li Xu – In the ever-evolving field of artificial intelligence (AI), deep learning has emerged as a pivotal technique driving remarkable advancements across various domains. Among its many branches, multi-modal learning stands out as a particularly significant approach, which involves integrating and processing information from multiple modalities of data, such as visual content and language information, to enhance the capabilities of AI systems.

ISTD PhD Oral Defense Seminar by Rulin Chen – An assembly comprises parts joined together to achieve a specific form or functionality. Compared to monolithic objects, assemblies have many benefits in terms of fabrication, transportation, and adaptability. Parts of assemblies are always geometrically simple to fabricate with digital techniques, can be efficiently packed for transportation, and offer adaptability through flexible replacement or modification. Hence, assemblies are widely used in our daily lives that most of our consumer products, industry machines, and architectural structures are assemblies.

ISTD PhD Oral Defense Seminar by Menglin Li – Social media has become an integral part of daily life, leading to an explosion of social data. Geographical information within social media is essential for applications such as location-based analysis, recommendations, and targeted advertising. However, such information is sparse, prompting the exploration of mining it from social media data.

ISTD Seminar by Sumit J. Darak – The talk will present the recommendation to enable the IEEE 802.11ad framework to support for radar-based localisation of mobile users while maintaining compatibility with the existing communication protocol requirements; signal processing and online learning-based algorithms for supporting radar-based detection and localisation of mobile users as well as estimation of channel conditions in both static and quasi-static scenarios.

In this challenge, our students from Mobile Robotic course were able to test the feasibility of their autonomous race car through two segments – straight track & obstacle challenge and showcased the algorithm design and programming skills developed during the course.

Discover how cutting-edge technologies such as 5G and networking slicing are paving way for an era of unparalleled agility, innovation and challenges. Learn more about network analytics from Jian Beng as he shares insights of what does life looks like after university as he debunk common misconceptions about working in the field of Networks.

Abstract Working Backwards is Amazon’s process of discovery and invention that delivers customer delight. Whether it is research or product building, at the Generative Al Innovation Center, AWS, we take a working backwards approach starting with the user/customer. This talk will discuss the different stages of this working backwards approach to research and building a production ready machine learning (ML) solution.

In this sharing, the Digital Engineer from the Republic of Singapore Air Force (RSAF) will be giving you an insight to the application of Digital Technologies in the RSAF.