ahuibers

He is on those top-contributors lists. His username is "Ser Amantio di Nicolao" per article.

These are good calculations. I think many people would like to go to a significantly larger field of view than 40 degrees. 40 degrees horizontally is not that much: the human visual field is over 200 degrees.

OLED-on-glass-substrate is allowing TVs to get lighter making them more installable. OLED-on-plastic-substrate TVs could be shipped rolled up. They may not be that far away (<10 years).

The older copy of the US site at https://web.archive.org/web/20180206011840/https://www.42.us... is very clear: "I AM NOT BETWEEN THE AGES OF 18 AND 30. CAN I COME TO 42? No. While we do not have anything against those who are over 30 years old, when opening a new location, we have decided to concentrate our where they can be the most efficient and where we have a great deal of experience."

On the current site this is changed to: "You can apply to 42 if you’re older than 45, but please know that most students here are younger and that Intensive Basic Training is tiring."

Hardly encouraging.

The french site http://www.42.fr/ says "ouverte à tous et accessible aux 18-30 ans" (18-30 only)

Draw your own conclusions about age discrimination here. You are free to apply...

Yes! :-)

Donald Knuth on email:

"Email is a wonderful thing for people whose role in life is to be on top of things. But not for me; my role is to be on the bottom of things. What I do takes long hours of studying and uninterruptible concentration."

http://www-cs-faculty.stanford.edu/~uno/email.html

This article might be one of the best intros: Space-Time Approach to Non-Relativistic Quantum Mechanics R. P. Feynman Rev. Mod. Phys. 20, 367 – Published 1 April 1948

Caltech has this available: http://authors.library.caltech.edu/47756/1/FEYrmp48.pdf

There are some other good treatments too, although I can't find them at the moment.

The actual thesis is fun to look at! A typeset version is available: http://www.amazon.com/Feynmans-Thesis-Approach-Quantum-Theor...

Changing my iTunes password worked for me.

Following Gladwell's 10000 hour rule, I would say you could probably call yourself a data science after 1000+ hours experience working with datasets successfully. As far as the math goes you should be able to do regression analysis, you don't need to know tons of stats but you do need to know stats and probability essentials (first few classes at a good school) deeply. I like this Wikipedia entry on "mathematical maturity": http://en.wikipedia.org/wiki/Mathematical_maturity; apart from writing proofs, it is very relevant.

This is pretty cynical and not my experience.

I haven't seen any lab demonstrations of multi Mbit devices. Until we see that this is years away from production in my experience as a device physics researcher. All storage technologies so far have taken 10 years plus to have large market share and I don't see this as an exception.

Flock math department here. Robots are software-limited, and Flock has more overlap with robotics on the software side than people might think. At Bump we have been writing software to exchange bits of stuff between computers that 50% of the population has attached to their bodies. Flock is actively making decisions for the human based on situational awareness. The machine learning and statistical techniques we are using are the same ones that are being using in robotics for e.g. situational awareness and path/task planning.

If anyone out there is interested in being a developer in my group and is handy with algorithms and fast data stores e.g. Redis, ideally in production, email me.

If anyone wants to do some very interesting contract work in machine learning (SVMs) for a YC company, please mail me. [edit: email address now in my profile oops]

Don't use Density Plots ..

... without seriously considering the benefits of a scatterplot.

Here is some data I plotted recently: http://i.imgur.com/lvraM.png

Yes, you need to be careful about overlap (transparency can help), but without a scatterplot, I would not see the sharp edges, or have my attention drawn to the outliers.

Density plots imply a model: By creating bins, square or hex, you are adding a layer of interpretation on top of the 2D data, which can be bad. Also the bins of this article have sharp edges (high frequency content) and add artificial structure. I think smooth density plots, not covered by this article, are superior.

Best of both worlds? --> http://www.survey-design.com.au/graphs/density_plot1.png

Even though I can program an Arduino just fine, this is so low-friction that it will encourage me do short projects and experiments I otherwise might not.

40 inch flat panels used to cost $40000 in higher volumes (production quantity) than LIDARs are shipping now. Now these panels cost ~$500 (and are better).

Mountain View, CA, Full-time, onsite

Hiring in Machine Learning / Applied Artificial Intelligence.

Work on the new new thing at Bump Technologies (we can't say exactly what it is yet...)

http://bu.mp/openings

Bump has one engineer in Tokyo and we may expand, probably on front-end mobile (iOS or Android). Our lead product the Bump app is the 5th most popular app of all time in Japan.

Mountain View, CA - Full Time and Intern

Want to work on a product that is used and loved by millions?

Bump Technologies is the developer of the Bump app available on iOS and Android. Bump allows users to exchange contact info, photos, and more, simply by fist bumping phones together. We now have more than 75mm downloads and are growing quickly. Objective C, Cocoa, Java, Scala, Python, Diesel, Redis, Riak, and Haskell are just some of the languages/technologies we use.

* Android developers

* iOS developers

* Backend (python) developers

Internships in Android, iOS, backend, data analytics, product, and design.

At Bump, we offer a fun, collaborative working environment. You will be challenged to come up with creative solutions to interesting problems and own your own project. The designs you make and the code you develop will be used by our tens of millions of active users. We have been working on some new products and features that we are planning to launch in 2012, so it is a really exciting time to join our team. Check out our tech blog and intern blog on our website to read about some of the cool things we are working on.

For more information and to apply online, visit our website http://bu.mp/jobs.

Good demos & demo code will go a long long way. Your liberal arts background may give you a good design and product eye.

Um.. most PhDs in the experimental sciences involve lots of drudge work, and 14 hour days, and the people who make it are generally very hard workers. This may not be true in theory or engineering.

http://news.ycombinator.com/over?points=3000

2 minute video on working @ Bump: http://db.tt/P4ecIIm

Mountain View, CA -- Bump

Bump is the #7 app in US for all time and #3 in Japan with over 40M downloads. Innovation you create at Bump will push out to >>10 million active users and growing.

We are hiring for Applied Mathematics (need to be able to code), Operations, CSS/Javascript, Design, Backend Development, iOS, Android. We will train on iOS or Android for the right candidate.

We work on scaling (using Riak, Redis, MongoDB), performance in a real time probabilistic environment (Python, C, Haskell, and .. math!). We also have some very challenging design & UX work going on with the core product and new products.

We are backed by the twin powerhouse VCs Sequoia and Andreessen-Horowitz. We are a 25 person company (+11 interns) with a very open culture. For all you SFers, our office is at the Caltrain station.

Check out our dev blog: http://devblog.bu.mp

hackernews@bu.mp to reach me (Andy) or http://bu.mp/jobs

One big reason robots aren't very good is because actuators are not very good. There are no good artificial muscles. Motors are great to power wheels and propellers but not much else. On the sensor side, robots can see, hear and even touch quite effectively. I think the software is slowly making progress, as is the # of computations we can do per watt. But lack of actuator progress severely hampers the future of robotics IMO.

We (Bump) have 12 redis machines now with 72 or 96GB each. 6 masters and 6 slaves. The slaves are hot spares and persist to disk, per the blog.

Make it so that comments don't need to be made right away (to get upvote exposure) to be in the top 10 or 20. Maybe you could normalize each upvote by the number of views per unit time (view rate). You could measure success by trying to increase the average age of the top 10 comments (age = time since article was posted).

Bump is hiring in Mountain View, CA (soon maybe SF/SOMA as well), mostly local.

Our immediate needs are: Operations, HTML5 development, Android development, Design, R&D including someone who knows both CS and prob/stats.

WHY SHOULD YOU WORK AT BUMP? We have enormous traction (25M), a breathtaking pipeline, and a clean codebase. We may already have and are definitely building one of the best mobile shops in the bay area. Our senior founder (me) has 10 years of startup experience and is an engineer obsessed with making Bump the best place for engineers and designers to produce great things: this includes compelling work in a professional yet very informal environment, above-market pay/equity/benefits, minimizing meetings, high quality food and special events, company-wide carte blanche Amazon prime account, surf team. We are 15 people growing to 30 and now is a great time to join us.

http://bu.mp/jobs, mail hackernews@ourdomain to get special treatment. Tech is iOS/ObjC, Android, Python, Scala, C, Haskell, Redis, MongoDB. Funding is YC, Sequoia. We are near Caltrain (Castro).

Bump is hiring and will definitely do H1B sponsorship. I believe visa difficulty can vary by country though e.g. India may be more difficult.

We are hiring for server(python/redis/mongo/C)/operations/Android/DESIGN.

http://bu.mp/jobs

Please also mail hackernews@ourdomain to get above the noise.

I did YC summer 2009 (Bump). Of the 3 founders I was the most critical going in, mostly based on valuation. But unlike most investor relationships, the money is the minority part of the value provided. The majority is things money can't buy: advice/perspective, encouragement, the front row seats mentioned in the article, multiple networks, more. I didn't fully appreciate the quality of the intangibles until later. Now my advice is- if you can get in, just do it. Some people go through twice I hear, what is that saying.