I would also call it a perverted use of the term super-resolution. NNs perform image manipulations beyond resolution enhancement. They add features based on trained sources.
This was the illusory hope of many of us in the beginning of the IT revolution. Work from anywhere, connected with everybody and the equal distribution of wealth.
I'm pleasantly surprised how Facebook openly admits that this project is a complete failure. I hear almost daily whitewashed NLP results from other companies.
My follow-up question would be: Is Scala still competitive to modern languages like Swift and Rust?
I experienced several drawback according to library quality and code-safety. There are too many small details that left me with an unpleasant feeling (I would take ScalaNLP/Breeze for example).
But my central issue is the VM/GC dependency. In times of GPU computing, native interface programming becomes a burden. The knowledge of object ownership improves code readability. I feel uncomfortable leaving object lifetime to a background process.
My personal biggest concern was the re-invention of OpenGL/DX features without the proper knowledge why and how these features can be used. For example I never managed to apply a skeletal animation to a indirect indexed draw call or use transform feedback loops for ray-casting or other deferred shading techniques.
This proposal makes much more sense than Apples "Metal Only" solution (https://webkit.org/blog/7380/next-generation-3d-graphics-on-...). I liked Metal at the beginning but over time it turned out that it is just another OpenGL/DX flavor with the same old driver/performance problems. Also using SPIR as IL allows the use of the preferred shader language. WebGL Next is about parallelism and abstraction, otherwise there would be absolutely no benefit.
In Germany It is also called "Katzentisch" (cat table). This practice got famous during the privatization of state enterprises. It was later supplemented by unsuitable tasks. For example woman had to handle heavy packages without proper equipment.
For my recordings under Linux I used a rather complex quadruple buffer to record a cam, the desktop, a tablet and reproject the result in real-time into a virtual environment. (https://www.youtube.com/watch?v=zmnF2cYa4Co).
Developing Scala Web and desktop Applications for a long time I thought Actors are sufficient models for concurrency. Than I got into contact with OpenCL/CUDA SIMD processing and now I think that many techniques for parallel data computations like workgroups, item sizes, momory types, barriers are missing from this concept. Concurrency is not only about reactivity but also about processing speed and distribution.
Excerpt: Human intelligence allows us introspectiveness. We can scrutinize our perception and identify problematic workflows in our biological "machine".
The government had cleared the deal on Sept. 8 but Aixtron said that the Economy Ministry had now canceled the clearance certificate for Fujian Grand Chip Investment Fund LP (FGC), a Chinese investment fund controlled by businessman Zhendong Liu, and planned to reopen a review of the takeover. The decision to rescind the approval was based on “previously unknown security-related information,” Germany’s Deputy Economy Minister Matthias Machnig told German daily newspaper Die Welt, without being more specific.
