M.Sc.Thesis. Application Of Deep Learning In Front End Development

Saab Group Stockholm , ME 04783

Posted 2 months ago

What you will be a part of

Aeronautics, a business area of Saab, offers advanced airborne systems, related subsystems, unmanned aerial systems, aerostructures and services to defence customers and commercial aerospace industries worldwide. Aeronautics is also responsible for development, production, marketing, selling and supporting of the Gripen fighter.

In order to carry out air missions, the armed forces act in a tactical loop that includes operational planning for missions and how missions are conducted and evaluated. You will be working with tactical and/or technical mission support systems and/or mission management systems. Their role is to support preparation, planning execution and evaluation of air missions in the tactical loop [2].

Your role

Focus will be on the GUI for tactical and technical information systems used for support in planning, execution, mainteance operations and evauation of air missions. These system are complex information systems with GUI's tailored to support their specific task. They support various aircrafts including fixed wing, rotary wing and unmanned aircrafts each with their own GUI's and user interaction processes.

This work aim to investigate:

  • The possilbity to develop generic front-ends for these systems

  • Using (1) as test case to investigate if deep learning has the potential to help us in software development by automation of front-end development.

The first part involves the creation/identification and application of design rules for generic GUI's that can be used to create homogenous front-ends/proxys for complex heterogenous information systems. The second part involves evaluation/creation of mtehods for automation of these rules using deep learning.

Results will be a written report along with a PoC/demontrator.

References:

  • https://saab.com/
  • https://saabaircraftindustry.com/en/roads-to-new-capability/value-for-customers/tactical-loop-operational-capability/
  • https://medium.com/@li.anchen.au/generate-html-from-sketch-using-deep-learning-49aee455d5d5
  • https://becominghuman.ai/application-of-deep-learning-in-front-end-web-development-html-css-b7ef744705f3
  • https://medium.com/@thoszymkowiak/pix2code-automating-front-end-development-b9e9087c38e6
  • https://blog.floydhub.com/turning-design-mockups-into-code-with-deep-learning/

See if you are a match!

See how well your resume matches up to this job - upload your resume now.

Find your dream job anywhere
with the LiveCareer app.
Download the
LiveCareer app and find
your dream job anywhere
lc_ad

Boost your job search productivity with our
free Chrome Extension!

lc_apply_tool GET EXTENSION

Similar Jobs

Want to see jobs matched to your resume? Upload One Now! Remove
AI & Machine Learning Internship/Master Thesis

King

Posted 3 weeks ago

VIEW JOBS 10/25/2018 12:00:00 AM 2019-01-23T00:00 Your role within our Kingdom AI bot - Master Thesis* You will be a part of our central AI R&D-team working closely with our AI experts and game developers. Your role will be developing an AI-bot that can play Candy Crush Saga, one of the most popular games in history. The AI-bot will use state-of-the-art reinforcement learning techniques to learn and play the game. The main purpose of the bot is to predicting winning probabilities and help with balancing the content to maximize the player experience. King has already implemented AI-bots successfully using convolutional neural networks for content balancing in many of their games and we want to take this approach to the next level. Machine learning for risk assessment of code - Master Thesis or internship for recent graduate* You will work with our Quality Assurance (QA) team in close collaboration with the central AI R&D-team and game developers. Your role will be developing a method for risk assessment of committed code. Based on historical data we will build a machine learning prediction assessing the risk of newly committed code. King has a very good and fast changing history of its code base, from which we can extract valuable knowledge about errors and updates. The research will later mature into a tool which will be used by King's developers in some of the most popular games in history like Candy Crush Saga and Candy Crush Soda Saga.These positions might include travel. Skills to create thrills * is pursuing a degree in computer science or equivalent* is comfortable with programming in Python* has taken courses in AI and/or machine learning* is self-driven with a problem-solving attitude* has strong social and communicative skills* is proficient in English, both spoken and written* has interest in the gaming industry Bonus points King Stockholm ME

M.Sc.Thesis. Application Of Deep Learning In Front End Development

Saab Group