Science & Technology

I found the following article on Ars Technica: https://arstechnica.com/science/2019/12/how-neural-networks-work-and-why-theyve-become-a-big-business/ quite interesting and well written although the author does not trace some important history of the development of neural networks such as K.

Our ninth roundtable discussion took place after Javad Lavaei’s MADDD seminar talk “Computational Techniques for Nonlinear Optimization and Learning Problems”. His talk slides can be found here.

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.

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

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!