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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
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
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
18 July 2022
Eugene Lim (GOVTECH) – Hacking the Synology NAS: Reversing and Fuzzing Hardened
Eugene Lim (GOVTECH) – Hacking the Synology NAS: Reversing and Fuzzing Hardened
ISTD
12.00 pm – 1.30 pm
SUTD Think Tank 4/5 (Building 1, Level 3) 8 Somapah Road
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
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
13 July 2022
Tay Jun Jie (HDB) – Looking Beyond the Nuts and Bolts of AI
Tay Jun Jie (HDB) – Looking Beyond the Nuts and Bolts of AI
ISTD
3.00 pm – 4.30 pm
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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
08 July 2022
City Pioneers Series: 3D Food Printing – The Next Frontier of Additive Manufacturing
City Pioneers Series: 3D Food Printing – The Next Frontier of Additive Manufacturing
Webinar
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