Singaporean AI researchers are kind of rare. Over the years, many people have asked me if I know other Singaporean AI researchers working on the bleeding age.
Here's a thread introducing some of these Singaporean AI researchers who I know of that are doing amazing work!
👇
1) Koh Jing Yu (@kohjingyu) at CMU who worked on Pathdreamer and Parti at Google (https://t.co/YexzlpNW82)
2) Koh Pang Wei (@PangWeiKoh) at Google/UW who works on reliable ML and won the best paper at ICML. (https://t.co/1aGUXRA45J)
3) Shawn Tan (@tanshawn) at MILA who works on NLP and won the best paper at ICLR for the ordered neurons work (https://t.co/jXCgPK3sxq).
4) Alvin Chan (@a1vinchan) at MIT who works on designing medical nanoparticles with deep learning (https://t.co/DQ9z0tXect).
5) Jason Phang (@zhansheng) at NYU/EleutherAI who works on LLMs and NLP (https://t.co/4gm91EVl2u).
Singapore has a lot going for it. Great food, clean AF, low taxes, it's also uber safe. Sadly, AI research is not one of them. It's noisy, and sometimes iffy 😅😅.
As such, younger local Singaporeans (e.g., undergrads) don't really know where to look.
I hope this list gives some grounding & inspiration to the younger (Singaporean) generation who are looking for role models or references.
You're welcome 😀.
@sensprabir Yes, I believed we did discuss this before. And its time for the different countries that want to develop their own AI talent and industries to start building their own LLMs.
As an instructor myself, I don't understand why our fund administrators insist on having one...takes time away from the more important thing like skills/knowledge transfer.
#education#datascience
Things we (scholars) DO know:
-Homework doesn't really help, especially younger kids.
-Students don't learn a thing from testing. Most teachers don't either (it's supposed to help them tweak instruction, but that rarely happens).
-Spending too much time on weak subjects HURTS.
Are you reviewing your #datascience or #ArtificialIntelligence learning plans! Do check out my blog post for some references. Hope it helps! :)
https://t.co/4PmOyAxJfr
Are you in the midst of changing your career to be a data analyst? Then check out the following podcast episode to get some tips!
This is only Part 1, do subscribe to our channel to be notified of the next part. :)
https://t.co/GIFRDAiJyS
@ItsThuYa#DataAnalytics#DataScience
Quarter-century anniversary: 25 years ago we received a message from N(eur)IPS 1995 informing us that our submission on LSTM got rejected. (Don’t worry about rejections. They mean little.) #NeurIPS2020 https://t.co/ZHDGVA9bv1
Can robots learn to autonomously explore their environment?
We introduce Batch Exploration with Examples (BEE)
https://t.co/8zoswdeZzZ
led by @anniee268, Alex Nam, & @SurajNair_1
Thread👇 (1/8)
Are you in the midst of changing your career to be a data analyst? Then check out the following podcast episode to get some tips!
This is only Part 1, do subscribe to our channel to be notified of the next part. :)
https://t.co/GIFRDAiJyS
@ItsThuYa#DataAnalytics#DataScience
ML will not be the same in 3-5 years, and ML folks who continue to follow the current data-centric paradigm will find themselves outdated, if not jobless. Take note.