See more astounding Pluto and Charon Flyover Closeup Videos

So it looks like, we began to use the term of The Great Convergence back in January and look what happened, it's already the end of the year. As recently as a few days ago, we had this, which makes me wonder if the tag is ML or CS or ML and CS. Any way, this got me inspired to write about The Fall of Everything Else and realized we needed to accelerate things such as making some hardware become more relevant by increasing majorly the size of current datasets from said harware ( (Hamming's Time: Making Hyperspectral Imaging Mainstream).. To help in this endeavor, you may want to visit that site. Next year or in a day, whichever comes faster, I'll begin to do the same for genomics, stay tuned. In the meantime, you want to read this Sunday Morning Insight: 10x Not 10% by Ken Norton.

We recently reached outr 4.5 million page views total, and had about 270,000 unique visits this year. That's about 740 visit per day or about 1000 unique visits per day of the week. Most importnatly, looking back since 2008,

*Linear growth is fine.***every day saw an average increase of 80 unique visits more than the previous day for the past 8 years.**
Here are some in-depth insights for subjects covered by Nuit Blanche.

Matrix Factorization

Deep Learning

- Why are deep nets reversible: A simple theory, with implications for training
- A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction
- The exponential advantage of distributed and deep representations
- The Great Convergence in Action: Learning optimal nonlinearities for iterative thresholding algorithms

Manifold

Sketching/Streaming

Sketching/Streaming

Tensor

RandNLA

Compressive Sensing

Compressive Sensing

- Biological screens from linear codes: theory and tools
- Perfect Recovery Conditions For Non-Negative Sparse Modeling / Compressive hyperspectral imaging via adaptive sampling and dictionary learning
- L1-Regularized Distributed Optimization: A Communication-Efficient Primal-Dual Framework
- Compressive Sampling using Annihilating Filter-based Low-Rank Interpolation

Random Projections

Thesis

Book

Book

Hardware

Challenge

Paris Machine Learning

Conferences (NIPS/ICML)

Challenge

Paris Machine Learning

Conferences (NIPS/ICML)

- NIPS2015 Papers and posters
- Around the blogs in 78 minutes: NIPS2015 edition
- Saturday Morning Videos: New videos of ICML 2015 in Lille

- CSJobs: PhD positions, University of Southampton, UK
- Job: PhD studentships and maybe a postdoc, Iowa State University

**Join the CompressiveSensing subreddit or the Google+ Community or the Facebook page and post there !**

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