amund

Zedge | Data Scientist and Android SWE positions | Trondheim, Norway | ONSITE, FULL-TIME | EU/EEC work permit/visa required | https://corp.zedge.net/join-our-playground

Zedge (NYSE MKT: ZDGE) provides personalization apps/services (primarily on Android and iOS) for ~30 million monthly active users.

On the data science side we use Hadoop and (increasingly) Clickhouse for analytics in combination with both using and developing Deep Learning (Keras/Tensorflow) for content analysis (e.g. audio and images) and content discovery (e.g. recommender systems and search). We are looking for data scientist candidates that also have solid software engineering skills, a doer mindset and an aptitude to learn.

Blog posts related to some of the things we've been looking into related to Deep Learning:

- https://corp.zedge.net/developers-blog/creative-ai-on-the-ip...

- https://corp.zedge.net/developers-blog/deep-learning-at-zedg...

(I am leading the data science team)

Hi, see your company also tracks SDKs. Wonder how many/which top apps use Crashlytics?

Zedge | Trondheim, Norway and New York City, NY| Full Time/Onsite

Zedge (NYSE Market: ZDGE) is a content platform, and global leader in smartphone personalization, with more than 200 million app installs and 30 million monthly active users.

We are looking for: Android Developers - http://corp.zedge.net/join-our-playground#senior-android-dev... Backend Developers - http://corp.zedge.net/join-our-playground#senior-ios-develop... Data Scientists - http://corp.zedge.net/join-our-playground#senior-ios-develop... iOS Developers - http://corp.zedge.net/join-our-playground#senior-ios-develop...

More positions at: http://corp.zedge.net/join-our-playground (Our Early Tech Blog: http://corp.zedge.net/developers-blog)

my docker id is atveit - would be great with beta access

My experience is that iPhone 6 GPU can be up to 50-70 times faster than the CPU - for single precision floating point (i.e. Swift running on the CPU, and Metal on the GPU). See http://memkite.com/blog/2014/12/18/gpgpu-performance-of-swif... for an example (comparison with Accelerate framework)

The authors have posted a follow-up posting: about KeY - the tool used to prove the bug in TimSort - http://envisage-project.eu/key-deductive-verification-of-sof...

Hi, I will ask the authors of the blog post and corresponding academic paper about additional KeY resources and follow-up.

Perhaps of interest - http://deeplearning.university - provides a bibliography of recent publications. See also https://news.ycombinator.com/item?id=8334875

Have added github repo with corresponding Swift/Metal code - https://github.com/atveit/SwiftMetalGPUParallelProcessing

Yes, I know the bibliography is a bit sparse right now, but we're gradually increasing its coverage. Will also add more annotations to it (per category), e.g. areas where deep learning could be applied but is lightly or not at all applied yet.

Hi, yes, it is only 2014 papers so far, and not complete for 2014, but it is a start.

The Envisage Research Project - http://envisage-project.eu - is working on developing formal methods for software engineering for the cloud, ref: http://envisage-project.eu/wp-content/uploads/2013/10/Envisa... "ENVISAGE will create a development framework based on formal methods to include resources and resource management into the design phase in software engineering for the cloud. This will improve the competitiveness of SMEs and profoundly influence business ICT strategies in virtualized computing"

Fortunately it's not all resource extraction, there is also significant amounts of mobile tech, ref: http://memkite.com/2014/04/28/trondheim-the-unknown-mobile-t...

Perhaps one will get a combination of ssd and DNA storage eventually? SSD for low latency storage and DNA for petabytes. Ref 700 TB per gram DNA http://www.extremetech.com/extreme/134672-harvard-cracks-dna...

I'm probably not clear enough in the blog post: The intention is to use Twitter as a news source, i.e. crawl and index top URIs (which can be any type of news, blog and other content). The underlying idea is that URIs on tweets give a good sample of _all_ overall knowledge production per day.

There are also of course some benefits of having all the interaction happen between you and your device that I haven't talked about in the blog post, e.g. increased privacy (no data collection), lower latency (disk seek on a mobile or tablet SSD - 100 microseconds) - is roughly 1000 times lower than the latency of accessing 3G or 4G can be (up to hundreds of milliseconds)

Ran Raz proved that Matrix Inversion is O(n^2 lg n), ref: Ran Raz. On the Complexity of Matrix Product. SIAM Journal on Computing, 32(5):1356–1369, 2003.

Based on that I deduced that Matrix Multiplication is O(n^2 lg n), http://amundtveit.info/publications/2003/ComplexityOfMatrixI...

Regarding even faster operations, it has been hypothetized that all matrices are Toeplitz or Hankel (which have O(n lg n) algorithms), ref: D. S. Mackey, N. Mackey, and S. Petrovic. Is Every Matrix Similar to a Toeplitz Matrix. Linear Algebra & its Applications, 297:87­105, 1999. But that was proved to not be the case: T. Amdeberhan and G. Heinig - http://www-math.mit.edu/~tewodros/georgmemoriam.pdf

is this like saying: we use the metric system (small print: but our 0 cm point starts at 50 cm)?

Trondheim, Norway | Python developer | freelance/remote

contact: jobs@atbrox.com -- keywords: Tornado, Python, REST/websocket apis, big data/hadoop

see http://atbrox.com and http://atbrox.com/about/

The lower bound is Omega(n^2 lg n), but waiting for an algorithm (if there is one). Ref: Ran Raz - http://dl.acm.org/citation.cfm?id=944299 (similar complexity for Matrix Inversion due to the relationship between matrix inversion and multiplication, ref Introduction to Algorithms, 1st ed, pp 762-765, wrote the proof here http://amundtveit.info/publications/2003/ComplexityOfMatrixI...)

I worked there from September 2005-September 2009. I co-founded a startup.

It is always a good time to join Google, and even more now when Larry Page is in charge. He is in the same league as Steve Jobs wrt being forward-looking, but less known due to lower public profile.

All companies with more than 1 person have or get issues - also Google - but the willingness and ability to measure and fix issues is probably much higher within Google than most sizable companies.

note: I am a xoogler and worked there for 4 years.

check out: http://abhishek-tiwari.com/2010/08/mapreduce-and-hadoop-algo... - for more papers about mapreduce in biomedical field.

Sorry about that, have fixed that now - thanks for noticing (I was mainly focused on the names with 2 syllables). Regarding the rest of the analysis I believe the list of names with few syllables speaks for itself, and regarding the predictions it is of course in the same tradition as a monkey throwing darts, but with slightly more empirical support.

http://www.gabrielweinberg.com/blog/2010/06/how-to-learn-abo... gives an overview of term sheets.

For numerical term sheet examples see http://thefunded.com

no, mainly write requirements directly into wave (do some embedding of graphics and files though).

I've been using Wave for startup product collaboration (a development project with 2 people on one location and the 3rd person on another location). The way Wave has been used is roughly like a digital shared whiteboard for product ideas and requirements.

The reasons why I use Wave is because it works relatively good (except that it gets somewhat less responsive on very long threads) and that it needs zero maintenance from our side.

PG: How about creating a competition for making the best search for news.ycombinator.com?

Potential way it could be arranged: E.g. require that participants have their yc name as part of the user agent string while crawling and that they are allowed to maximum crawl 1000-10000 threads(with all comments) and create search for that. Or perhaps create a recent dataset with stories/threads so all participants have the same data.

Potential price for the winner: Serve search on news.ycombinator.com for one year?

thank, perhaps it was due to an unusual traffic spike for a small site and that the words malware, spam and botnets occur in paper titles on the page?

Please let me know if you figure out the reason for that, so we can fix it if it has any actual problems.

(note: I wrote the posting)