AzoreCFD has been a trusted, cutting-edge software tool since 2007. Azore focuses on analysis, design, engineering, and on obtaining precise, and quick results. Customers use Azore for applications that include: industrial flows, aerodynamics, thermal mixing, conjugate heat transfer, gas species mixing, heating and cooling systems, external flows, and more.
Azore can be used to simulate essentially any steady-state or transient fluid flow model, including problems that involve conjugate heat transfer and special transport. With flexible pre/post processing, Azore allows for arbitrary polyhedral mesh topology with several import formats supported. Built-in post-processing capabilities includes: scalar fields, pathlines, animations, residual reports, vector fields, ISO-surfaces, force & movement reports, and export for external post-processing.
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Planview AdaptiveWork is a project and portfolio management product for organizations managing complex execution across multiple portfolios and delivery models. It supports IT PPM, Professional Services Automation, Product Development and R&D, and business project and program management use cases, with Planview Anvi available as an embedded AI add-on for insights and automation.
Governed Workflow Automation
-Low-code workflow automation for any step in the portfolio and project management process
-Changes ripple automatically across hundreds or thousands of projects
-Admins create and manage workflow changes without code
-Waterfall, agile, stage-gate, and hybrid delivery supported in one governed system
Resource and Capacity Planning
-Time-phased planning and allocation across thousands of resources by month, quarter, or year
-Planning horizon extends years forward and back without restructuring the system
-Supports employees, contractors, equipment, and other non-labor resources
Financial and Portfolio Reporting
-Bidirectional reporting: top-down portfolio to project, and bottom-up project to portfolio
-Time-phased financial planning, forecasting, and tracking, including when funds are committed or earned
-Role-based and executive-ready reporting dashboards
-Native data export on any data object, including custom fields, for ALM, PLM, ERP, and BI systems
Extensible Data Model
-Every standard object, custom field, and custom object automatically generates API endpoints
-Custom objects support hundreds of configurable fields, each API-enabled by design
-Data model can be extended without breaking integrations or requiring middleware
Embedded AI with Planview Anvi
-Natural language questions answered about any project, program, or portfolio using live data
-Scheduled agents automate recurring status reports on a defined schedule
-Risk identification agent surfaces risks at project initiation from scope, timeline, and resource profile
-Work plan agent surfaces recommendations based on delivery patterns across the organization
-Sentiment analysis across project text fields and an in-app text assistant for tone, grammar, and translation
-Customer data is not used to train AI models
AdaptiveWork is designed for upper mid-market to large organizations, including departments within larger enterprises, that need governance and reporting to scale without adding administrative overhead.
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MiMo-V2.6-Pro
MiMo-V2.6-Pro is Xiaomi MiMo’s most capable open-source omnimodal AI model, built for coding, general agent workflows, visual tasks, research, and multimodal creation. The model combines strong software engineering capabilities with computer use, 3D spatial reasoning, visual perception, and tool use for complex multi-step work. MiMo-V2.6-Pro can build interactive 3D environments, generate Blender models, create frontend interfaces and presentations, and coordinate agents to refine outputs through visual feedback. It also supports research workflows such as literature review, computational experimentation, materials discovery, and formal mathematical proof development. Xiaomi trained the model with large-scale reinforcement learning across coding, general agents, visual tasks, and cybersecurity environments and has open-sourced the technical report, training environments, and RL code.
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