Networks are commonly used to model complex systems. The different entities in the system are represented by nodes of the network and their interactions by edges. In most real life systems, the different entities may interact in different ways necessitating the use of multiplex networks where multiple links are used to model the interactions. One of the major tools for inferring network topology is community detection. Although there are numerous works on community detection in single-layer networks, existing community detection methods for multiplex networks mostly learn a common community structure across layers and do not take the heterogeneity across layers into account. In this paper, we introduce a new multiplex community detection method that identifies communities that are common across layers as well as those that are unique to each layer. The proposed method, Multiplex Orthogonal Nonnegative Matrix Tri-Factorization, represents the adjacency matrix of each layer as the sum of two low-rank matrix factorizations corresponding to the common and private communities, respectively. Unlike most of the existing methods, which require the number of communities to be pre-determined, the proposed method also introduces a two stage method to determine the number of common and private communities. The proposed algorithm is evaluated on synthetic and real multiplex networks, as well as for multiview clustering applications, and compared to state-of-the-art techniques.

Description:   *** Cannot provide sponsorship upon conversion. What is the specific title of the position? Lead Data and AI Engineer Work location? Preferred Locations - MA or MN (Client facilities). 100% telecommute is also considered. Work hours (ex. 9am-5pm day/night shifts rotating shifts etc)? 9-5 Please provide a summary of the project/initiative that this candidate will be working on? We are establishing Agile Data Warehouse in cloud and many new AI practices to enable personalization in various capabilities to improve employee experience. Please describe the team the candidate will be working with - how many members? 10 – 12 team members What is the break-down of the teams skill sets (ex: 1 PM 4 Developers etc.)? 1 PM, 3 Product owners 2 Sprint teams consisting - 1 Scrum Masters and 12 developers What are the top 5-10 responsibilities for this position (please be detailed as to what the candidate is expected to do or complete on a daily basis)? • Identify opportunities for Data Engineering and AI to enhance the core product platform, select the best machine learning techniques to the specific business problem and then build the models that solve the problem. • Architect and design AI/ML and Analytics solutions and cloud services • Own the end-end process, from recognizing the problem to implementing the solution. • Establish DataOps and MLOps principles and best practices What does the ideal candidate background look like (ex: healthcare specific background specific industry experience etc.)? a. Hands on experience with modern application – microservices, Cloud and CI/CD b. 5-7 years of hands on Data and AI engineering work c. Good communication with developing architecture and design documentation What skills/attributes are required (please be detailed as to number of years of experience for each skill)? • Bachelor's Degree or master's degree in Computer Science. • 5+ years of hands-on software engineering experience. • Demonstrated AI/ML solution design experience • Proven work experience in Spark, Python, SQL, Any RDBMS. • Familiarity with Azure Data Lake, Synapse, ADF, Power BI. • Experience building, deploying and maintaining ML models in production • Experience with MLOps tools such as ModelDB, MLFlow and Kubeflow. • Familiar with best practices in the data engineering and MLOps community. • Ability to convey complex concepts and ideas in a clear and concise manner to a wide range of audience internal business stakeholders, outside partners and technology teams. • To be able to work in a fast-paced agile development environment. • Proven track record in working with diverse teams to achieve goals • Strong problem solving and troubleshooting skills with the ability to exercise mature judgment. What skills/attributes are preferred (what will set a candidate apart)? • Experience with AzureML • Expert in Azure Synapse, Azure Container Registry, Azure App services Of the required skills listed, which would you consider the top 3? Please list your expectations regarding years of experience for each requirement. a. AI/ ML Solution design b. Strong problem solving and troubleshooting skills with the ability to exercise mature judgment. c. MLOps What will the interview process look like? (Video phone or in person? How many rounds? How technical will the interviews be?) a. How many rounds? 2-3 b. Video vs. phone? Video c. How technical will the interviews be? Mostly technical

When you think of a concrete object, you think wordlessly, and then, if you want to describe the thing you have been visualising you probably hunt about until you find the exact words that seem to fit it. When you think of something abstract you are more inclined to use words from the start, and unless you make a conscious effort to prevent it, the existing dialect will come rushing in and do the job for you, at the expense of blurring or even changing your meaning. In recent years, in my reporting, I've come to uncool conclusions. For one thing, I've begun to think that instilling public purpose into private communities is the hardest thing in the world. Last week, the University of Chicago's college dean of students riled the Internet when he dispatched a welcome letter to freshmen that declared the university to be a space safe from safe spaces.

At the 2016 E3 conference, USA TODAY's Brett Molina speaks to CEO of Insomniac Games, Ted Price, about a new Spiderman game unvielded for the Playstation 4. Shawn Layden, President of Sony Interactive Entertainment America and Chairman of SIE Worldwide Studios, speaks on stage during the PlayStation E3 2016 Press Conference at The Shrine Auditorium in Los Angeles, California. Even before the doors opened to the Electronic Entertainment Expo, the video game industry dazzled game players. Press events from Microsoft, Sony and other video game publishers on Sunday and Monday offered a peek into the future of the video game industry. Here are 10 announcements -- in no particular order -- that generated the most buzz during E3 2016. It's more than a year away from making its debut, but Project Scorpio certainly carries a lot of potential.

At the 2016 E3 conference, USA TODAY's Brett Molina speaks to CEO of Insomniac Games, Ted Price, about a new Spiderman game unvielded for the Playstation 4. Shawn Layden, President of Sony Interactive Entertainment America and Chairman of SIE Worldwide Studios, speaks on stage during the PlayStation E3 2016 Press Conference at The Shrine Auditorium in Los Angeles, California. The doors to the Electronic Entertainment Expo haven't even opened yet, but the video game industry has already dazzled video game players. Sunday and Monday delivered press events from Microsoft, Sony and other video game publishers offering a peek into the future of the video game industry. Here are 10 announcements -- in no particular order -- that generated the most buzz during E3 2016. It's more than a year away from making its debut, but Project Scorpio certainly carries a lot of potential.