Developer Salaries in 2018: Updating the Stack Overflow Salary Calculator – Stack Overflow Blog

In their 2018 Salary Survey, Stack Overflow reveals a global increase in Software Engineer salaries, with some locations like London and San Francisco seeing rises in median salary of around 25%, with DevOps engineers commanding the highest pay. Check out how your salary compares here – – and read the explanatory blog here:
Today we launched the 2018 update to the Stack Overflow Salary Calculator, a tool that allows developers and employers to find typical salaries for the software industry based on experience level,…

What’s AI good for? Industrial or consumer tech? Meh. Airliners? AHA, says

In a push to increase collaboration between the UK and Canada on industrial uses of AI, the UK government has teamed up with Canadian aircraft manufacturer Bombardier to offer a prize for ideas which solve an interesting problem – an optimal, self managing de-icing strategy for aircraft. De-icing causes extra fuel burn – either to carry the weight of ice-melting fluids, or to power  heating elements at key points on the plane. Also, deicing at the wrong time can lead to other risks – such as ice forming in places not protected by countermeasures. £100k is up for grabs.
Stop, collaborate and listen: Ice is back we need a brand new invention

Introducing a New Framework for Flexible and Reproducible Reinforcement Learning Research

As more and more teams work with the Arcade Learning Environment to train RL models on Atari games, it becomes more important to a) ensure that comparisons are truly like-for-like and reproducible, and b) find ways to speed up and simplify model iteration. Google has developed a Tensorflow framework, called Dopamine, allowing researchers to focus on the content of their tests and code, rather than spending time iterating and tweaking.
Posted by Pablo Samuel Castro, Research Software Developer and Marc G. Bellemare, Research Scientist, Google Brain Team Reinforcement lear…

Unsupervised machine translation: A novel approach to provide fast, accurate translations for more languages

One problem with existing training methods for unsupervised learning used in human language translation is the availability of text "pairs" (such as the same sentence written twice) between obscure languages – such as Welsh to Urdu. Facebook is testing out a new mechanism involving "word embeddings" – vector-space representation of words in a given language (e.g. kitty -> cat is closer than kitty -> rocket). Using this model, the relative positions of words can be used to create the translation between languages for which there is little existing identical material. Although promising, performance is still lower than using supervised methods.
Automatic language translation is important to Facebook as a way to allow the billions of people who use our services to connect and communicate in their preferred language. To do this well, curren…

Study: Autonomous Vehicle Awareness Rising, Acceptance Declining

A recently published poll shows that Americans are turning cold on one of the hottest technology frontiers – self-driving cars. A recent study showed that nearly half of drivers now say they'd "never" buy a Level 4 autonomous car, up from 30% two years ago, and Level 2 automation (which is recognised as being risky given the significantly increased cognitive effort it requires) is now the most popular option among those presented. The drop in enthusiasm for self-driving cars is not correlated with awareness of recent accidents involving the technology – but perhaps with a softening in hue of the rose tinted glasses we are using to project AI.
A new study from Cox Automotive shows that consumers now have a deeper understanding of the complexities involved when creating a self-driving car, which is causing them to reconsider their comfort…