Our eighth roundtable took place after Grace Yi’s statistics seminar talk “Making Sense of Noisy Data: Why and How?” Her talk slides can be found here.

- Henry Kautz, Division Director, NSF/CISE/IIS

THE WHITE HOUSE

Office of Science and Technology Policy

FOR IMMEDIATE RELEASE
November 20, 2019

White House OSTP Releases Progress Report on Advancing AI R&D

Here is a slightly old (July 30, 2019) article on the Julia Programming Language in the journal Nature: https://www.nature.com/articles/d41586-019-02310-3 .

It's a very good short read! You may want to try out Julia if you haven't.

So, enjoy!

Our seventh roundtable discussion took place after Rishidev Chaudhuri’s MADDD seminar talk “Noise driven synaptic pruning.” The topic of the roundtable discussion was: Challenges and future of graph/network data analysis in neuroscience. It was conducted in a Q&A format between the host and the speaker with responses from the audience.

See the website https://insights.dice.com/2019/11/13/mathematicians-engineers-jobs-november/

Have a great weekend!

Our sixth roundtable took place after Thomas Strohmer’s talk “A Rigorous Framework for Data Clustering”. His talk slides can be found here.

Dear all,

This long weekend, you may be interested in watching the following timely and interesting PBS program: In the Age of AI, which traces a new industrial revolution that will reshape and disrupt our lives, our jobs and our world, and allow the emergence of the surveillance society.

Have a wonderful weekend!

Naoki

Our fifth roundtable discussion took place after Yu Zhang’s talk “Improving Power Grid Reliability and Efficiency via Advanced Signal Processing and Machine Learning”.  His talk slides can be found here.

The minutes of highly interesting panel discussion on Machine Learning and the Future of Mathematics, which was held as a part of the ICIAM (International Congress of Industrial and Applied Mathematicians) on July 16, 2019, in Valencia, Spain, has been published in the SIAM news: https://sinews.siam.org/Details-Page/panelists-talk-machine-learning-and-the-future-of-mathematics-at-iciam-2019

Our own Mariel Vazques (Math, Microbiology and Molecular Genetics) has been elected as an AMS (American Mathematical Society) fellow!

Congratulations, Mariel!!

Here is a very interesting short Youtube video showing the historical rankings of popular programming languages from 1965 to 2019. According to the author/creator, its data source was the combinations of aggregated statistics from several indexes, GitHub repository access, multiple surveys. Enjoy!

You may be interested in participating in the fifth annual Women in Data Science
(WiDS) conference at Stanford University, which will be held on March 2, 2020.

Dear UCD4IDS participants,

This conference is quite relevant for our activities, and I encourage you to consider submitting your work. The deadline for contributed lectures is quickly approaching: November 4, 2019. Please take a look at: https://www.siam.org/conferences/cm/conference/mds20 .

Sincerely,

Naoki

Our fourth roundtable discussion took place after the statistics seminar talk of Julie Novak (Netflix) on “Statistical Methodologies in Streaming Experimentation at Netflix”.

This discussion was conducted in the Q&A format, with the majority of questions about the structure of data science work at Netflix. We structure the note accordingly.

Q: What is the most pressing problem in data science and machine learning at Netflix?