Are you curious about how your school experiences can help shape your career? Join us for an insightful seminar by Mark Sin, an overseas Singaporean based in California, who is an accomplished engineering architect at Apple Inc. In this seminar, Mark will share how the completion of industry projects, internships and acquisition of essential soft skills during his school days could help to land him into an engineering role in one of the world’s leading tech companies. […]

DH Asia Webinar Series: “Ancient and Modern Biotopes: What Can We Learn from Digitizing Ancient Pharmacology?” by Dr. Michael Stanley-Baker

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. […]

Öh!, the ninth iteration of SUTD’s Architecture & Sustainable Design (ASD) Graduation showcase. Consolidating works by the B.Sc (ASD) students from the Class of 2024, these students showcase their Örigin point, their Ödyssey through, and their Öutlook towards Architecture.

ARISE Program – Validate Presentation Day

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. […]

In ARISE: Validate, teams will go out to the field and confirm if there is an actual need for their solution and discover other important requirements of their target market, to better shape the development roadmap of their solution.

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. The primary objective of multi-modal learning is to leverage the complementary information present in different modalities to achieve better performance than using any single modality alone, mimicking the way humans perceive and understand the world. […]

Urban Larsson (IIT Bombay, India) – The Fundamental Theorem of Normal Play

ARISE Program – Validate