In order to achieve high data rate and ubiquitous connectivity in future wireless networks, a key task is to efficiently manage the radio resource by judicious beamforming and power allocation. Unfortunately, the iterative nature of the commonly applied optimization-based algorithms cannot meet the low latency requirements due to the high computational complexity. For real-time implementations, deep learning-based approaches, especially the graph neural networks (GNNs), have been demonstrated with good scalability and generalization performance due to the permutation equivariance (PE) property. However, the current architectures are only equipped with the node-update mechanism, which prohibits the applications to a more general setup, where the unknown variables are also defined on the graph edges. To fill this gap, we propose an edge-update mechanism, which enables GNNs to handle both node and edge variables and prove its PE property with respect to both transmitters and receivers. Simulation results on typical radio resource management problems demonstrate that the proposed method achieves higher sum rate but with much shorter computation time than state-of-the-art methods and generalizes well on different numbers of base stations and users, different noise variances, interference levels, and transmit power budgets. Yunqi Wang is with the Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, and also with Shenzhen Research Institute of Big Data, Shenzhen 518172, China (email: yunqi9@connect.hku.hk). Yang Li is with Shenzhen Research Institute of Big Data, Shenzhen 518172, China (e-mail: liyang@sribd.cn).

Mike Pondsmith started playing Dungeons & Dragons in the late seventies, as an undergraduate at the University of California, Davis. The game, published just a few years before, popularized a newish form of entertainment: tabletop role-playing, in which players, typically using dice and a set of rule books, create characters who pursue open-ended quests within an established world. "The most stimulating part of the game is the fact that anything can happen," an early D&D review noted. Soon, other such games hit the market, including Traveller, a sci-fi game published in 1977, the year that "Star Wars" came out. Pondsmith, a tall Black man who grew up in multiple countries because his dad was in the Air Force, loved sci-fi, and fancied himself a bit like Lando Calrissian, the smooth-talking "Star Wars" rogue played by Billy Dee Williams.

This analysis on: The Hustle newsletter (lead story), Hacker News, The Growth Newsletter (issue #021), Social Blade, Data Science Weekly newsletter (issue of Jul 09 2020), Tubefilter. Around 1.5 years ago, I did an analysis of YouTube trending videos in US. That analysis was performed on trending videos of some months in 2017 and 2018. The analysis received a lot of interest on Kaggle and Reddit; I also received some emails praising the work done. That was 1.5 years ago. Today, I present an improved and expanded version of that analysis. This analysis is more advanced and contains new interesting elements. In this analysis, All trending videos for the whole year of 2019 were analyzed (More than 70,000 videos). Titles, descriptions, thumbnails, tags, views, likes/dislikes, and comments were all analyzed to produce the results shown in this post. Continue reading to know more about the analysis and the data or you can jump directly to the results section. The main goal of the analysis is to find interesting facts and patterns by exploring the data and by using effective visualizations. If you don't have time to read the full analysis, here are some of the insights that were extracted from the data along with links to their sections in the analysis: YouTube, as you know, is the most popular and most used video platform in the world today.

The world is about to get a whole lot smarter. As the new decade begins, we're hearing predictions on everything from fully remote workforces to quantum computing. However, one emerging trend is scarcely mentioned on tech blogs – one that may be small in form but has the potential to be massive in implication. There are 250 billion microcontrollers in the world today. Perhaps we are getting a bit ahead of ourselves though, because you may not know exactly what we mean by microcontrollers.

If you were looking for the oddest dish being served in an American restaurant right now, you should probably start with the fish course at Jordan Kahn's new Vespertine, a dish that nudges the idea of culinary abstraction dangerously close to the singularity. It doesn't look like fish, for one thing -- it looks rather like an empty bowl, coarse and pebbly inside and out, of a blackness deep enough to suck up all light, your dreams and your soul. If this were Coi or Alinea, to name two modernist temples, your server would instruct you on how to eat the dish, or at least on where you might direct your spoon. At Vespertine, the server, wearing a severe frock like something out of "The Handmaid's Tale," does not. If you prompt her, she may whisper the word hirame, which in a sushi bar can mean either flounder or halibut.