Temporal

Credit: Pixabay/CC0 Public Domain Managers can do much to help their workers become more resilient to inevitable time disruptions in today's workplace, says new research from The University of Texas at Austin. With intricate supply chains and operations that sprawl across time zones, workplace time disturbances are only increasing. Such temporal…

Posted in: AWA, Comics | Tagged: amanda conner, awa studios, garth ennis, goran sudzuka, kickstarter, Marjorie Finnegan: Temporal CriminalMarjorie Finnegan, Temporal Criminal, the time travel heist comedy by Garth Ennis and Goran Sudžuka, is getting a deluxe edition KickstarterArticle Summary AWA and Ennis launch a Kickstarter for Marjorie Finnegan: Temporal Criminal Deluxe. Exclusive content in the edition includes a new full-length adventure and cover art. Notable rewards include signed hardcovers and…

Pokémon Trading Card Game fans... this next expansion is going to be a big one.Earlier this month, the Pokémon Company International announced the next addition to the Pokémon TCG will be Scarlet & Violet - Temporal Forces.This new set of cards will include a number of spectacular cards - including one particularly special entry below.We can exclusively show off the art and attacks of the Walking Wake EX card, including its Azure Seas ability.The pseudo-legendary Pokémon, which you can see in full below, has a…

Continue the journey for evolving networksMany complex networks evolve over time including transaction networks, traffic networks, social networks and more. Temporal Graph Learning (TGL) is a fast growing field which aims to learn, predict and understand evolving networks. See our previous blog post for an introduction to temporal graph learning and a summary of advancements last year.In 2023, we saw significantly increased interest from both academia and the industry in the development of TGL. Compared to last year, the…

KIT researchers use AI to produce highly resolved radar films from coarsely resolved maps in order to better forecast local precipitation events. Credit: Luca Glawion, KIT Strong precipitation may cause natural disasters, such as floodings or landslides. Global climate models are required to forecast the frequency of these extreme events, which is expected to change as a result of climate change. Researchers of Karlsruhe…

Challenging and realistic datasets for temporal graph learningIn recent years, significant advances have been made in machine learning on static graphs, accelerated by the availability of public datasets and standardized evaluation protocols, such as the widely adopted Open Graph Benchmark (OGB). However, many real-world systems such as social networks, transportation networks, and financial transaction networks evolve over time with nodes and edges constantly added or deleted. They are often modeled as temporal graphs.…

Representation of the time-asymmetry in the heterogeneous network dynamics unveiled by the study. Credit: KyotoU/Robin Hoshino Life, from the perspective of thermodynamics, is a system out of equilibrium, resisting tendencies towards increasing their levels of disorder. In such a state, the dynamics are irreversible over time. This link between the tendency toward disorder and irreversibility is expressed as the 'arrow of…

Can a custom tailor made stateful mapping function based on bloom filters outperform the generic Spark stream-stream join?Photo by Kalpaj on Unsplash, Peggys Cove, NS, CanadaSpark’s flatMapGroupsWithState function allows users to apply custom code on grouped data and provides support to persist user defined states.In this article, we will implement a stateful function that retrieves the tags (features) of a parent process. The crux of the the solution is to create a composite key made of the process ID (e_key in the…

Coding up and understanding the TD(0) algorithm using PythonPhoto by Kurt Cotoaga on UnsplashThis is a continuation article from my previous article:In this article, I want to familiarize the reader with the sample-based algorithm logic in Reinforcement Learning (RL). To do this, we will create a grid world with holes (much like the one in the thumbnail) and let our agent freely traverse our created world.Hopefully, by the end of the agent's journey, he will have learnt where in the world is a good place to be and which…

The story so farReal world networks such as social, traffic and citation networks often evolve over time and the field of Temporal Graph Learning (TGL) aims to extract, learn and predict from these evolving networks. Recently, TGL has gained increasing attention from the ML community, with a surge in the number of papers and the first workshop in this area held last year at NeurIPS 2022!Evolutions in a temporal graph. Image by authors.This post was co-authored with Emanuele Rossi, Michael Galkin and Kellin Pelrine. Thanks…