311 result(s)
Zhang Hao 4Paradigm Technology  Parallel Computing in Machine Learning Database A Case Study of OpenMLDB
26 July 2022
Zhang Hao (4Paradigm Technology) – Parallel Computing in Machine Learning Database: A Case Study of OpenMLDB
Zhang Hao (4Paradigm Technology) – Parallel Computing in Machine Learning Database: A Case Study of OpenMLDB
ISTD
Seminar/Lecture

12.30 pm – 2.00 pm
Zoom
Francesco Gelli PayPal  Applied Information Retrieval
26 July 2022
Francesco Gelli (PayPal) – Applied Information Retrieval
Francesco Gelli (PayPal) – Applied Information Retrieval
ISTD

11.30 am – 12.30 pm
SUTD Think Tank 2 (Building 1, Level 3) 8 Somapah Road
Assistant Professor Liu Xiaogang Featured on Society of Chemical Industry
21 July 2022
Assistant Professor Liu Xiaogang Featured on Society of Chemical Industry
The July-August issue of Society of Chemical Industry did a feature on the counterfeiting industry. The article included case studies of research done by EPD Associate Prof Joel Yang on tiny QR codes and SMT Assistant Prof Liu Xiaogang’s research on phosphorescence for security inks. To read more, click here: https://www.soci.org/chemistry-and-industry/cni-data/2022/7-8/security-details
SMT

Online
Hengky Wirawan Cheng Yue Dyson Singapore  Dyson Manufacturing Landscape
15 July 2022
Hengky Wirawan, Cheng Yue (Dyson Singapore) – Dyson Manufacturing Landscape
Hengky Wirawan, Cheng Yue (Dyson Singapore) – Dyson Manufacturing Landscape
EPD
Seminar/Lecture

3.00 pm – 4.00 pm
Zoom
Viet Anh Nguyen VinAI - Robust Bayesian Recourse
14 July 2022
Viet Anh Nguyen (VinAI) – Robust Bayesian Recourse
Algorithmic recourse aims to recommend an informative feedback to overturn an unfavourable machine learning decision. We introduce in this paper the Bayesian recourse, a model-agnostic recourse that minimizes the posterior probability odds ratio. Further, we present its min-max robust counterpart with the goal of hedging against future changes in the machine learning model parameters. The robust counterpart explicitly takes into account possible perturbations of the data in a Gaussian mixture ambiguity set prescribed using the optimal transport (Wasserstein) distance. We show that the resulting worst-case objective function can be decomposed into solving a series of two-dimensional optimization subproblems, and the min-max recourse finding problem is thus amenable to a gradient descent algorithm. Contrary to existing methods for generating the robust recourse, the robust Bayesian recourse does not require a linear approximation step. The numerical experiment demonstrates the effectiveness of our proposed robust Bayesian recourse facing model shifts.
ESD
Seminar/Lecture

10.00 am – 11.00 am
SUTD Think Tank 21 (Building 2, Level 3) 8 Somapah Road
Congratulations to Dr Teo Tee Hui for receiving the EnterpriseSG-SSCSAC Commendation Award
13 July 2022
Congratulations to Dr. Teo Tee Hui for receiving the EnterpriseSG-SSC/SAC Commendation Award
Enterprise Singapore awarded Dr. Teo Tee Hui with the EnterpriseSG-SSC/SAC Commendation Award for his contributions to the Singapore Standardisation Programme. Congratulations!
SMT

Online
Subhajit Roy Indian Institute of Technology Kanpur  Deferred concretization in symbolic execution via fuzzing
07 July 2022
Subhajit Roy (Indian Institute of Technology Kanpur) – Deferred concretization in symbolic execution via fuzzing
Subhajit Roy (Indian Institute of Technology Kanpur) – Deferred concretization in symbolic execution via fuzzing
ISTD
Seminar/Lecture

3.00 pm – 4.00 pm
SUTD Think Tank 13 (Building 1, Level 5) 8 Somapah Road
Freshmore Student Adam Huh Dam Featured on Straits Times
06 July 2022
Freshmore Student, Adam Huh Dam Featured on Straits Times
Straits Times reported about the Youth Co:Lab Summit, where robots made up of chopsticks was on display. These robots were designed by a local youth start-up Stick ‘Em, and its co-founder is freshmore Adam Huh Dam.

To read more, https://www.straitstimes.com/singapore/robots-made-out-of-chopsticks-among-innovations-on-display-as-youth-discuss-climate-action-at-summit
SMT

Online
Daniel Dahlmeier SAP  Developing NLP in Industry and Chieu Hai Leong DSO  Fake News Detection
04 July 2022
Daniel Dahlmeier (SAP) – Developing NLP in Industry and Chieu Hai Leong (DSO) – Fake News Detection
Daniel Dahlmeier (SAP) – Developing NLP in Industry and Chieu Hai Leong (DSO) – Fake News Detection
ISTD

1.00 pm – 3.00 pm
SUTD Think Tank 2 (Building 1, Level 3) 8 Somapah Road
Assistant Professor Ang Yee Sin featured on Semiconductor Digest
30 June 2022
Assistant Professor Ang Yee Sin featured on Semiconductor Digest
Semiconductor Digest published an article about LEGO stacking of 2D materials that could bring about ultracompact memory and spintronic technology. This research was led by SMT Assistant Prof Ang Yee Sin.

To read more, click on https://www.semiconductor-digest.com/lego-stacking-of-2d-materials-brings-us-a-step-closer-to-ultracompact-memory-and-spintronic-technology/
SMT

Online