Thank you to those who are working hard on bringing WebGPU to the masses!
[0]: https://news.ycombinator.com/item?id=22316777 [1]: https://news.ycombinator.com/item?id=22351285 [2]: https://docs.google.com/presentation/d/1qHhFq0GJtY_59rNjpiHU...
139 karma · joined February 17, 2013
Thank you to those who are working hard on bringing WebGPU to the masses!
[0]: https://news.ycombinator.com/item?id=22316777 [1]: https://news.ycombinator.com/item?id=22351285 [2]: https://docs.google.com/presentation/d/1qHhFq0GJtY_59rNjpiHU...
Take a look at our posting in the Who Is Hiring thread!
Would you love to be a part of the new space industry? Do you like solving challenging problems with algorithms and data structures? Do you enjoy designing and developing sophisticated software architectures?
Read on!
We’re a team of software engineers, aerospace engineers, physicists, mathematicians, and data scientists building FreeFlyer, one of the top platforms for satellite orbital modeling and trajectory design. Our software is used by NASA and other space agencies and private companies for satellite mission planning and mission control. FreeFlyer has been used for spacecraft missions of all types, including the International Space Station, communications satellites, science missions, and several planned missions to the Moon and beyond.
Take a look at how FreeFlyer was used to analyze and visualize high-fidelity gravitational field measurement data from the GRACE mission: https://www.youtube.com/watch?v=eET-PlSB6yQ. You can learn more about FreeFlyer via our website: https://ai-solutions.com/freeflyer/.
We are looking for someone to join our team who is excited to dive in and make an impact. By joining the team, you will have the opportunity to:
+ Solve interesting problems that are centered around high fidelity computational modeling, data structures, algorithms, data visualization, and performance.
+ Contribute to improving our software architecture and help us build a better product.
+ Learn from subject matter experts about everything that goes into sending a satellite into orbit.
To learn more about the position, please visit: https://rew12.ultipro.com/AIS1000/JobBoard/JobDetails.aspx?_....
If this sounds interesting to you, we would love to hear from you! You can reach out to us over email or connect with us via the DC Tech Slack community with any questions.
We look forward to hearing from you!
The FreeFlyer Team
stefan.novak@ai-solutions.com
@stefan on DC Tech’s Slack community(http://www.dctechslack.com/)
They were able to recover the failed backup gyroscope by executing a series of attitude maneuvers while switching between operational modes on the gyro.
They literally shook the spacecraft and turned the gyro off-and-on.
Sometimes you gotta bang on something to get it to work!
I would love to buy a beer for the mission operations team member who came up with that idea!
The bit that stands out to me is an e-mail he received from a female engineer:
> While the idealist in me would love to aim for a world where sex was treated more equally and openly, the unfortunate reality of tech is that it has been a haven for misogynistic men and the environment is heavily male dominated. While in an ideal world the name SexMachine would be something that both genders could joke about, the reality is that the tech community is not ready or capable of that today.
OP: thanks for taking the time to write this series! It'll definitely help me out with some work I'm interested in doing.
Hello! Airbnb is looking for a front-end engineer to join its growing Service Excellence team in Portland, Oregon. We are building world-class tools for our global team of Customer Experience and Trust and Safety agents to ensure our guests and hosts have a great experience on Airbnb, 24/7, and 365 days a year.
Working closely with designers, we implement the user interface of our web app. We build libraries and abstractions to make our lives easier, such as DLS, our front-end toolkit. We make the most of modern tools like React, ES6, and Redux, and even our next-generation mobile apps are built with JavaScript on React Native.
Please feel free to apply online at https://www.airbnb.com/careers/departments/position/572443 or contact us at join-sx@airbnb.com if you have any questions.
It details a creative process for developing concepts and testing them. Given that the book outlines a 5-day process that is tailored for product development teams, you might get a lot out of it for personal projects.
We are seeking a skilled scientific programmer to develop genomic, imaging, and clinical analysis applications on a distributed data / workflow management and analytics platform currently under development. This position will work in a team oriented software development environment, following best practices such as code sharing through GitHub and development of structured software APIs. A successful candidate will contribute to the international development of standardized APIs and data schemas, and develop implementations compatible with such APIs, ensuring that the system is interoperable within the emerging community ecosystem of software tools.
Responsibilities
+ Develop custom analytics and data management applications to facilitate one or more of the following: large-scale genomic data analysis; machine learning methods to infer genotype-to-phenotype predictive models; analysis of quantitative imaging data.
+ Work with the platform development team to implement scalable cloud-enabled workflows to disseminate analytical advances to the research community.
+ Establish and maintain standards for structured software & systems engineering, including requirements, design, code, test, quality, configuration & release management and project management.
+ Provide documentation and user support allowing computational researchers across campus to access and re-use analysis tools.
+ Maintain well-curated, highly structured, transparent omics, imaging, or clinical data resources.
+ Develop tools to integrate commonly used open source bioinformatics software applications.
+ Participate in leading international efforts aimed at establishing best practices and standards for genomic data representation and analysis.
The job posting is available at: https://ais.ohsu.edu/OA_HTML/OA.jsp?page=/oracle/apps/irc/ca...
If you have any questions, feel free to send a note to novast@ohsu.edu.
http://blog.dc.esri.com/2013/04/18/the-evolution-of-discussi...
I've always been frustrated with the gap between statistics and spatial statistics. For example, some of the methodologies with conducting hot-spot analysis is somewhat misleading, especially to uninformed geospatial analysts. For example, Esri [0] implements this first by conducting geospatial aggregation, then calculating z-scores based on Gaussian assumptions, then generates a corresponding "p-value" to extract "statistically significant areas" that are coined "hot spots". At that point, an analyst typically color-codes those p-values showing regions with low p-values as "extreme" areas of interest. I'm really curious if there's any empirical or anecdotal research that validates this methodology.
There are some attempts to try and normalize sampled data. Location Quotient [1] (and Standardized Location Quotient), for example, compares a local measure to a global measure. However, this too has Gaussian assumptions and doesn't properly account for variance in the data.
I would definitely love to see a hierarchical Bayesian spatial model that takes into account a geospatial prior (such as the overall density of tweets) allowing you to solve for the posterior of cluster centers. Has anyone seen this done before?
[0] http://resources.arcgis.com/en/help/main/10.1/index.html#//0...
It would be interesting to extend the LDA model to include a temporal variable. Never got around to doing it, but it seems like it would work well for social media data.
[0] http://blog.dc.esri.com/2013/04/18/the-evolution-of-discussi...
[1] http://blog.dc.esri.com/files/2013/04/topic-distribution2.pn...
It's refreshing to see a story on Monk make the front page of HN.
Source: http://en.wikipedia.org/wiki/Budget_of_NASA#Annual_budget.2C...
1) Click Twitter followed by Start Collection. 2) Click Add Stream followed by the Wikipedia tab. Enable Page Locations and select a color under the Visualizations tab. Finally, start the stream by clicking Start Collection. 3) Perform step 2 with Wikipedia User Locations and a new color.
Enjoy!