Game development unity
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This document provides an overview of game development tools, processes, and concepts. It discusses common game engines like Unity and Unreal, 2D/3D assets, the steps to create a game like importing assets and creating game objects, components and scripts, and includes demos of platformer game mechanics. It also provides tips for getting started in game development and joining a game development community.
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Learn how they built automated workflows to manage periodic updates, merge airspace data, and support data extracts all while meeting strict government reporting requirements to the Civil Aviation Administration of Sweden.
Even better? Swedavia built custom services and applications that use the FME Flow REST API to trigger jobs and retrieve results streamlining tasks like securing the quality of new surveyor data, creating permdelta and baseline representations in the AIS schema, and generating AIXM extracts from their AIS data.
To conclude, FME expert Dean Hintz will walk through a GeoBorders reading workflow and highlight recent enhancements to FMEs AIXM (Aeronautical Information Exchange Model) processing and interpretation capabilities.
Discover how airports like Swedavia are harnessing the power of FME to simplify aviation data management, and how you can too.Security Tips for Enterprise Azure Solutions
Security Tips for Enterprise Azure SolutionsMichele Leroux Bustamante
油
Delivering solutions to Azure may involve a variety of architecture patterns involving your applications, APIs data and associated Azure resources that comprise the solution. This session will use reference architectures to illustrate the security considerations to protect your Azure resources and data, how to achieve Zero Trust, and why it matters. Topics covered will include specific security recommendations for types Azure resources and related network security practices. The goal is to give you a breadth of understanding as to typical security requirements to meet compliance and security controls in an enterprise solution.Key Requirements to Successfully Implement Generative AI in Edge DevicesOpt...
Key Requirements to Successfully Implement Generative AI in Edge DevicesOpt...Edge AI and Vision Alliance
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For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2025/06/key-requirements-to-successfully-implement-generative-ai-in-edge-devices-optimized-mapping-to-the-enhanced-npx6-neural-processing-unit-ip-a-presentation-from-synopsys/
Gordon Cooper, Principal Product Manager at Synopsys, presents the Key Requirements to Successfully Implement Generative AI in Edge DevicesOptimized Mapping to the Enhanced NPX6 Neural Processing Unit IP tutorial at the May 2025 Embedded Vision Summit.
In this talk, Cooper discusses emerging trends in generative AI for edge devices and the key role of transformer-based neural networks. He reviews the distinct attributes of transformers, their advantages over conventional convolutional neural networks and how they enable generative AI.
Cooper then covers key requirements that must be met for neural processing units (NPU) to support transformers and generative AI in edge device applications. He uses transformer-based generative AI examples to illustrate the efficient mapping of these workloads onto the enhanced Synopsys ARC NPX NPU IP family.Enhance GitHub Copilot using MCP - Enterprise version.pdf
Enhance GitHub Copilot using MCP - Enterprise version.pdfNilesh Gule
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際際滷 deck related to the GitHub Copilot Bootcamp in Melbourne on 17 June 2025Raman Bhaumik - Passionate Tech Enthusiast
Raman Bhaumik - Passionate Tech EnthusiastRaman Bhaumik
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A Junior Software Developer with a flair for innovation, Raman Bhaumik excels in delivering scalable web solutions. With three years of experience and a solid foundation in Java, Python, JavaScript, and SQL, she has streamlined task tracking by 20% and improved application stability.From Manual to Auto Searching- FME in the Driver's Seat
From Manual to Auto Searching- FME in the Driver's SeatSafe Software
油
Finding a specific car online can be a time-consuming task, especially when checking multiple dealer websites. A few years ago, I faced this exact problem while searching for a particular vehicle in New Zealand. The local classified platform, Trade Me (similar to eBay), wasnt yielding any results, so I expanded my search to second-hand dealer sitesonly to realise that periodically checking each one was going to be tedious. Thats when I noticed something interesting: many of these websites used the same platform to manage their inventories. Recognising this, I reverse-engineered the platforms structure and built an FME workspace that automated the search process for me. By integrating API calls and setting up periodic checks, I received real-time email alerts when matching cars were listed. In this presentation, Ill walk through how I used FME to save hours of manual searching by creating a custom car-finding automation system. While FME cant buy a car for youyetit can certainly help you find the one youre after!Securing Account Lifecycles in the Age of Deepfakes.pptx
Securing Account Lifecycles in the Age of Deepfakes.pptxFIDO Alliance
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Securing Account Lifecycles in the Age of DeepfakesFIDO Seminar: New Data: Passkey Adoption in the Workforce.pptx
FIDO Seminar: New Data: Passkey Adoption in the Workforce.pptxFIDO Alliance
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FIDO Seminar: New Data: Passkey Adoption in the WorkforceTechniques for Automatic Device Identification and Network Assignment.pdf
Techniques for Automatic Device Identification and Network Assignment.pdfPriyanka Aash
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Techniques for Automatic Device Identification and Network AssignmentWenn alles versagt - IBM Tape sch端tzt, was z辰hlt! Und besonders mit dem neust...
Wenn alles versagt - IBM Tape sch端tzt, was z辰hlt! Und besonders mit dem neust...Josef Weingand
油
IBM LTO10Connecting Data and Intelligence: The Role of FME in Machine Learning
Connecting Data and Intelligence: The Role of FME in Machine LearningSafe Software
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In this presentation, we want to explore powerful data integration and preparation for Machine Learning. FME is known for its ability to manipulate and transform geospatial data, connecting diverse data sources into efficient and automated workflows. By integrating FME with Machine Learning techniques, it is possible to transform raw data into valuable insights faster and more accurately, enabling intelligent analysis and data-driven decision making.Cluster-Based Multi-Objective Metamorphic Test Case Pair Selection for Deep N...
Cluster-Based Multi-Objective Metamorphic Test Case Pair Selection for Deep N...janeliewang985
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the slides of the MP selection approach CMPS2025_06_18 - OpenMetadata Community Meeting.pdf
2025_06_18 - OpenMetadata Community Meeting.pdfOpenMetadata
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The community meetup was held Wednesday June 18, 2025 @ 9:00 AM PST.
Catch the next OpenMetadata Community Meetup @ https://www.meetup.com/openmetadata-meetup-group/
In this month's OpenMetadata Community Meetup, "Enforcing Quality & SLAs with OpenMetadata Data Contracts," we covered data contracts, why they matter, and how to implement them in OpenMetadata to increase the quality of your data assets!
Agenda Highlights:
Introducing Data Contracts: An agreement between data producers and consumers
Data Contracts key components: Understanding a contract and its purpose
ｨ Writing your first contract: How to create your own contracts in OpenMetadata
An OpenMetadata MCP Server update!
And More!PyCon SG 25 - Firecracker Made Easy with Python.pdf
PyCon SG 25 - Firecracker Made Easy with Python.pdfMuhammad Yuga Nugraha
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Explore the ease of managing Firecracker microVM with the firecracker-python. In this session, I will introduce the basics of Firecracker microVM and demonstrate how this custom SDK facilitates microVM operations easily. We will delve into the design and development process behind the SDK, providing a behind-the-scenes look at its creation and features. While traditional Firecracker SDKs were primarily available in Go, this module brings a simplicity of Python to the table.FIDO Seminar: Perspectives on Passkeys & Consumer Adoption.pptx
FIDO Seminar: Perspectives on Passkeys & Consumer Adoption.pptxFIDO Alliance
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FIDO Seminar: Perspectives on Passkeys & Consumer AdoptionUsing the SQLExecutor for Data Quality Management: aka One man's love for the...
Using the SQLExecutor for Data Quality Management: aka One man's love for the...Safe Software
油
The SQLExecutor is one of FMEs most powerful and flexible transformers. Pivvot maintains a robust internal metadata hierarchy used to support ingestion and curation of thousands of external data sources that must be managed for quality before entering our platform. By using the SQLExecutor, Pivvot can efficiently detect problems and perform analysis before data is extracted from our staging environment, removing the need for rollbacks or cycles waisted on a failed job. This presentation will walk through three distinct examples of how Pivvot uses the SQLExecutor to engage its metadata hierarchy and integrate with its Data Quality Management workflows efficiently and within the source postgres database. Spatial Validation Validating spatial prerequisites before entering a production environment. Reference Data Validation - Dynamically validate domain-ed columns across any table and multiple columns per table. Practical De-duplication - Removing identical or near-identical well point locations from two distinct source datasets in the same table.Key Requirements to Successfully Implement Generative AI in Edge DevicesOpt...
Key Requirements to Successfully Implement Generative AI in Edge DevicesOpt...Edge AI and Vision Alliance
油
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