This document introduces Ruby as a programming language and testing tool. It provides an overview of Ruby basics like arrays, hashes, blocks, and classes. It also discusses how to install Ruby, the Ruby culture which emphasizes readability and flexibility, and testing tools like Cucumber and Capybara that enable behavior-driven development in Ruby. Examples are given of how to write Cucumber features and steps to test a pets application.
Java 7 was released in July 2011 with improvements to performance, concurrency, and memory management. Plans for Java 8 include modularity, lambda expressions, and date/time APIs. The Java Community Process is also being improved to increase transparency, participation, and agility through JSR 348. Overall, the Java ecosystem continues to grow with new languages on the JVM and an active community.
Open Source Compiler Construction for the JVMTom Lee
This document discusses building a compiler for a simple language called "Awesome" that targets the Java Virtual Machine (JVM). It recommends writing a stub code generator first for quick feedback before building the full compiler. The compiler will use Scala parser combinators to parse the input into an abstract syntax tree (AST) and then walk the AST to generate equivalent JVM bytecode using the Bytecode Engineering Library (BCEL). The document outlines the overall compiler architecture and next steps to expand the language features supported by the compiler.
JRuby is an implementation of the Ruby language that runs on the Java Virtual Machine. It allows Ruby code to access Java libraries and APIs and Java code to call Ruby methods. Some benefits of JRuby include access to mature and stable Java platforms, libraries, and tools as well as improved performance from features like garbage collection. JRuby also allows Java shops to introduce scripting and Ruby skills.
My goals have been:
- focusing on several project areas, where you can use jruby successfully
- share the experience that I made using ruby in the last years
- proove that things can be done easier as they are done in typical java projects
This document discusses Ruby, an object-oriented scripting language, and its integration with Java via JRuby. It provides an overview of Ruby concepts like classes, modules, and metaprogramming. It then discusses how JRuby allows embedding Ruby as a scripting language in Java applications and using Java classes from Ruby. It also covers Ruby on Rails and how JRuby can be used to deploy Rails applications on the JVM. Finally, it discusses performance improvements in JRuby 1.7 and some benefits of using JRuby.
This document discusses using Java from Ruby with JRuby IRB. It provides an introduction to JRuby and demonstrates how to load Java support and libraries, import Java classes, refer to and instantiate Java objects, implement Java interfaces, call static methods and fields, perform type conversions, invoke overloaded methods, and gives a complex example using the Akka framework to calculate Pi. It also discusses Maven integration, directory layout, and testing frameworks like RSpec and Cucumber that can be used.
Rjb is a Ruby gem that allows Ruby code to interact with Java objects by wrapping them in Ruby classes, enabling Ruby applications to leverage existing Java libraries and solutions. It provides a simple API for loading Java classes and calling methods on Java objects from Ruby without requiring a full Java runtime like JRuby. The document discusses how to install, configure and use Rjb to integrate Java functionality into Ruby and Rails applications.
This document summarizes a presentation about Ruby and IronRuby. It introduces Ruby as a dynamic, object-oriented language that can run on different virtual machines like MRI, JRuby, and IronRuby. It describes key Ruby concepts like blocks, mixins, and metaprogramming. The document also covers how to use IronRuby from .NET, such as hosting Ruby from C# using different app domain techniques. It recommends using Ruby and IronRuby for internal DSLs, testing, and lightweight web development.
The document discusses Java bytecode and the Java Virtual Machine (JVM). It provides details on:
- Bytecode is machine language for the JVM and is stored in class files. Each method has its own bytecode stream.
- Bytecode instructions consist of opcodes and operands that are executed by the JVM. Common opcodes include iconst_0, istore_0, iinc, iload_0, etc.
- The JVM has various components like the class loader, runtime data areas (method area, heap, stacks), and execution engine that interprets or compiles bytecode to machine code.
Java ScriptingJava Scripting: One VM, Many Languageselliando dias
The document discusses using scripting languages with the Java platform. It provides an overview of scripting languages and their uses. It explains how the Java virtual machine can run many languages and leverage their advantages while providing scalability. Examples are given of integrating scripts with Java applications and invoking script functions from Java. Future directions like JSR 292 for dynamic invocation are also covered.
Java is a widely used programming language that is mainly used for application programming. It is platform-independent and supports features like multi-threading and documentation comments. The key aspects of a simple Java program are that it must contain a class with a main method that can be the starting point of execution. The main method has a specific signature of public static void main(String[] args). When a Java program is run, the JVM (Java Virtual Machine) loads and executes the program by performing operations like loading code, verifying code, and providing a runtime environment.
This document provides an overview and introduction to Ruby on Rails. It begins with an agenda and introduction to the speaker. It then provides a brief introduction to Rails, including what industries use it, examples of popular websites built with Rails, and an explanation of its model-view-controller architecture and RESTful design philosophy. The document continues with sections on auditing Rails applications, identifying common vulnerabilities like mass assignment and cross-site scripting, and recommendations for removing vulnerabilities.
Vert.x - Tehran JUG meeting Aug-2014 - Saeed ZarinfamSaeed Zarinfam
This document provides an overview of Vert.x, an application platform that runs on the JVM and allows building reactive applications. Vert.x is asynchronous, non-blocking, and distributed. It uses an event-driven architecture and supports polyglot programming through modules for Java, JavaScript, Python, Ruby, and other languages. Vert.x applications are composed of lightweight verticle components that communicate asynchronously through an event bus. It provides clustering, failover, and load balancing capabilities to build scalable and resilient applications.
TorqueBox - Ultrapassando a fronteira entre Java e RubyBruno Oliveira
The document discusses Java and Ruby programming languages and the TorqueBox framework. It provides an overview of TorqueBox which allows running Ruby on Rails applications on the JBoss Application Server using the JRuby implementation of Ruby. It covers installing and deploying applications with TorqueBox, using features like caching, clustering, and Infinispan for distributed caching.
The document discusses and compares Dalvik VM and Java VM. It states that Dalvik VM is used in Android and executes optimized .dex files and Dalvik bytecodes, while Java VM executes .class files. It also mentions that Dalvik VM uses register-based architecture while Java VM uses stack-based architecture. The document further discusses advantages of Dalvik VM like minimal memory footprint and how .class files are converted to .dex files. It provides comparisons between key aspects of both VMs.
This document provides an overview of JRuby, including what JRuby is, its design goals of bringing the best of Ruby and Java together, why one might use JRuby over Ruby or Java, and how to call between Java and Ruby code when using JRuby. Key points covered include that JRuby is an implementation of Ruby that runs on the Java Virtual Machine, allowing Ruby code to leverage Java libraries and be deployed on Java application servers and platforms, while retaining Ruby's syntax and features.
This document provides an introduction to JRuby, which allows Ruby code to run on the Java Virtual Machine. It discusses key features of Ruby like dynamic typing and everything being an object. It then covers how to integrate Ruby and Java code through the Java integration layer, including calling Java from Ruby and converting interfaces. The document concludes by discussing using JRuby for applications, testing Java with RSpec, and build utilities.
This document discusses using DataMapper with Infinispan as a clustered NoSQL data store. It covers:
- DataMapper is a Ruby ORM that can use Infinispan as its data adapter through the dm-infinispan-adapter gem.
- Infinispan is a highly scalable, distributed Java cache that provides a data grid. It supports replication, distribution and local caching.
- The dm-infinispan-adapter allows DataMapper objects to be stored in Infinispan, enabling a clustered NoSQL backend for Ruby applications. It generates runtime annotations to integrate with Hibernate Search.
Java was created in 1991 at Sun Microsystems by James Gosling and others. It derives its syntax from C and object-oriented features from C++. Java is portable, secure, object-oriented, robust, multithreaded, architecture neutral, distributed, and dynamic. The Java Virtual Machine (JVM) executes Java bytecode, which is platform independent. The Java Development Kit (JDK) includes tools for developing Java programs like the compiler and JRE. The JRE provides the minimum requirements to run Java programs and includes the JVM and core classes. A simple "Hello World" Java program is presented.
The document discusses JRuby, which is a Java implementation of the Ruby programming language. JRuby allows Ruby code to leverage Java libraries and infrastructure and run on the Java Virtual Machine. It provides benefits like running the same code on all platforms and leveraging existing Java skills and tools. However, it also has drawbacks like a larger memory footprint compared to other Ruby implementations. The document provides examples of using JRuby for web applications, system integration projects, and describes some organizations that use JRuby in production.
The presentation gives an overview about the ruby programming language and Rails, the web framework built over it ruby. It does highlight some of the key features of ruby programming language and mentions the key benefits of using Rails framework for web application development.
Rjb is a Ruby gem that allows Ruby code to interact with Java objects by wrapping them in Ruby classes, enabling Ruby applications to leverage existing Java libraries and solutions. It provides a simple API for loading Java classes and calling methods on Java objects from Ruby without requiring a full Java runtime like JRuby. The document discusses how to install, configure and use Rjb to integrate Java functionality into Ruby and Rails applications.
This document summarizes a presentation about Ruby and IronRuby. It introduces Ruby as a dynamic, object-oriented language that can run on different virtual machines like MRI, JRuby, and IronRuby. It describes key Ruby concepts like blocks, mixins, and metaprogramming. The document also covers how to use IronRuby from .NET, such as hosting Ruby from C# using different app domain techniques. It recommends using Ruby and IronRuby for internal DSLs, testing, and lightweight web development.
The document discusses Java bytecode and the Java Virtual Machine (JVM). It provides details on:
- Bytecode is machine language for the JVM and is stored in class files. Each method has its own bytecode stream.
- Bytecode instructions consist of opcodes and operands that are executed by the JVM. Common opcodes include iconst_0, istore_0, iinc, iload_0, etc.
- The JVM has various components like the class loader, runtime data areas (method area, heap, stacks), and execution engine that interprets or compiles bytecode to machine code.
Java ScriptingJava Scripting: One VM, Many Languageselliando dias
The document discusses using scripting languages with the Java platform. It provides an overview of scripting languages and their uses. It explains how the Java virtual machine can run many languages and leverage their advantages while providing scalability. Examples are given of integrating scripts with Java applications and invoking script functions from Java. Future directions like JSR 292 for dynamic invocation are also covered.
Java is a widely used programming language that is mainly used for application programming. It is platform-independent and supports features like multi-threading and documentation comments. The key aspects of a simple Java program are that it must contain a class with a main method that can be the starting point of execution. The main method has a specific signature of public static void main(String[] args). When a Java program is run, the JVM (Java Virtual Machine) loads and executes the program by performing operations like loading code, verifying code, and providing a runtime environment.
This document provides an overview and introduction to Ruby on Rails. It begins with an agenda and introduction to the speaker. It then provides a brief introduction to Rails, including what industries use it, examples of popular websites built with Rails, and an explanation of its model-view-controller architecture and RESTful design philosophy. The document continues with sections on auditing Rails applications, identifying common vulnerabilities like mass assignment and cross-site scripting, and recommendations for removing vulnerabilities.
Vert.x - Tehran JUG meeting Aug-2014 - Saeed ZarinfamSaeed Zarinfam
This document provides an overview of Vert.x, an application platform that runs on the JVM and allows building reactive applications. Vert.x is asynchronous, non-blocking, and distributed. It uses an event-driven architecture and supports polyglot programming through modules for Java, JavaScript, Python, Ruby, and other languages. Vert.x applications are composed of lightweight verticle components that communicate asynchronously through an event bus. It provides clustering, failover, and load balancing capabilities to build scalable and resilient applications.
TorqueBox - Ultrapassando a fronteira entre Java e RubyBruno Oliveira
The document discusses Java and Ruby programming languages and the TorqueBox framework. It provides an overview of TorqueBox which allows running Ruby on Rails applications on the JBoss Application Server using the JRuby implementation of Ruby. It covers installing and deploying applications with TorqueBox, using features like caching, clustering, and Infinispan for distributed caching.
The document discusses and compares Dalvik VM and Java VM. It states that Dalvik VM is used in Android and executes optimized .dex files and Dalvik bytecodes, while Java VM executes .class files. It also mentions that Dalvik VM uses register-based architecture while Java VM uses stack-based architecture. The document further discusses advantages of Dalvik VM like minimal memory footprint and how .class files are converted to .dex files. It provides comparisons between key aspects of both VMs.
This document provides an overview of JRuby, including what JRuby is, its design goals of bringing the best of Ruby and Java together, why one might use JRuby over Ruby or Java, and how to call between Java and Ruby code when using JRuby. Key points covered include that JRuby is an implementation of Ruby that runs on the Java Virtual Machine, allowing Ruby code to leverage Java libraries and be deployed on Java application servers and platforms, while retaining Ruby's syntax and features.
This document provides an introduction to JRuby, which allows Ruby code to run on the Java Virtual Machine. It discusses key features of Ruby like dynamic typing and everything being an object. It then covers how to integrate Ruby and Java code through the Java integration layer, including calling Java from Ruby and converting interfaces. The document concludes by discussing using JRuby for applications, testing Java with RSpec, and build utilities.
This document discusses using DataMapper with Infinispan as a clustered NoSQL data store. It covers:
- DataMapper is a Ruby ORM that can use Infinispan as its data adapter through the dm-infinispan-adapter gem.
- Infinispan is a highly scalable, distributed Java cache that provides a data grid. It supports replication, distribution and local caching.
- The dm-infinispan-adapter allows DataMapper objects to be stored in Infinispan, enabling a clustered NoSQL backend for Ruby applications. It generates runtime annotations to integrate with Hibernate Search.
Java was created in 1991 at Sun Microsystems by James Gosling and others. It derives its syntax from C and object-oriented features from C++. Java is portable, secure, object-oriented, robust, multithreaded, architecture neutral, distributed, and dynamic. The Java Virtual Machine (JVM) executes Java bytecode, which is platform independent. The Java Development Kit (JDK) includes tools for developing Java programs like the compiler and JRE. The JRE provides the minimum requirements to run Java programs and includes the JVM and core classes. A simple "Hello World" Java program is presented.
The document discusses JRuby, which is a Java implementation of the Ruby programming language. JRuby allows Ruby code to leverage Java libraries and infrastructure and run on the Java Virtual Machine. It provides benefits like running the same code on all platforms and leveraging existing Java skills and tools. However, it also has drawbacks like a larger memory footprint compared to other Ruby implementations. The document provides examples of using JRuby for web applications, system integration projects, and describes some organizations that use JRuby in production.
The presentation gives an overview about the ruby programming language and Rails, the web framework built over it ruby. It does highlight some of the key features of ruby programming language and mentions the key benefits of using Rails framework for web application development.
The document outlines why the author started using Ruby and provides an overview of the Ruby programming language and Ruby on Rails web application framework. It discusses how Ruby is a dynamic, object-oriented language designed to be elegant and efficient. Ruby on Rails makes it easy to build database-backed web applications according to the MVC pattern. The document also covers the Ruby ecosystem including interpreters, frameworks, libraries and tools, and discusses the future of Ruby and Rails.
The document summarizes a presentation on Ruby on Rails given by Obie Fernandez. It introduces Ruby and Rails, discussing their object-oriented nature, conventions, and tools. It highlights Rails' productivity gains through conventions and generators. Challenges discussed include a learning curve and limited IDE support. The document concludes Rails is ready for many applications but not all, and the right developer attitude is important.
The document summarizes a presentation on Ruby and Ruby on Rails. It introduces Ruby as a dynamic, object-oriented scripting language similar to Smalltalk and Perl. It then discusses Ruby on Rails, describing it as a "kitchen sink" model-view-controller web application framework built with Ruby. Key aspects of Rails like ActiveRecord, views, and controllers are briefly explained.
JRuby + Rails = Awesome Java Web Framework at Jfokus 2011Nick Sieger
This document summarizes a presentation on using JRuby and Ruby on Rails for web application development. It discusses how JRuby allows Ruby code to drive Java, embed Ruby in Java applications, and compile Ruby to Java bytecode. Rails is presented as a dynamic web framework that uses conventions over configuration and opinionated defaults. The document provides examples of common Rails features like scaffolding, models, controllers and views. It also outlines how to deploy Rails applications as WAR files or to cloud platforms using JRuby.
Dynamic languages like Groovy, JRuby, and Ruby on Rails can run on the Java Virtual Machine (JVM) and integrate with Java technologies. This allows developers to benefit from dynamic language features while leveraging existing Java investments. Frameworks like Grails and Rails are designed for rapid web application development using conventions over configuration and minimize repetitive code. Integrating with the JVM means these dynamic languages can access Java libraries and be deployed on Java application servers without losing existing Java skills and infrastructure.
This document provides an overview of Ruby for Java developers, covering the history and culture of both languages, their technical backgrounds, key differences in their languages and frameworks, and how Ruby on Rails works. It demonstrates Ruby concepts through examples and concludes with a discussion on performance and common use cases for each language.
JRuby allows running Ruby code on the Java Virtual Machine. This provides access to Java libraries and enables deployment of Ruby/Rails applications as Java web archives for easier hosting. Integrating Rails with JRuby requires plugins like ActiveRecord-JDBC for database access. Performance is currently lower than native Ruby but may improve as JVM optimizations emerge. Full Ruby compatibility remains challenging due to differences from the JVM environment.
Rapid Application Development using Ruby on RailsSimobo
This document outlines a 4 day training course on rapid application development using Ruby on Rails. Day 1 covers an overview of Ruby on Rails, setting up the development environment, and conducting live demos. Day 2 delves deeper into model-view-controller architecture, database migrations, and form helpers. Day 3 focuses on testing, Active Record optimizations, and unobtrusive JavaScript. Day 4 explores supporting gems for features like caching, file uploads, searching, and delayed jobs. Each day includes lectures, code examples, and hands-on practice building a sample Rails application.
This document provides an overview of JRuby, a Ruby implementation that runs on the Java Virtual Machine. It begins with an agenda, introduces the JRuby developers, provides a brief Ruby tutorial, demonstrates JRuby usage for graphics/games and web applications like Rails, and concludes with a thank you.
This document provides an overview of JRuby, a Ruby implementation that runs on the Java Virtual Machine. It begins with an agenda that covers Ruby and JRuby basics, real-world JRuby applications including graphics, games, and web applications, and an opportunity for questions. It then introduces the JRuby developers and provides a brief Ruby tutorial covering classes, blocks, modules and more. Examples are given of JRuby being used for graphics, games, Rails web applications, and GUI programming. The presentation concludes by thanking the audience and providing links for more information.
Adventures of java developer in ruby worldOrest Ivasiv
This document provides an overview of the speaker's experience transitioning from Java to Ruby. It includes an agenda covering the speaker's background, project issues that led to choosing Ruby, a brief history of Ruby, examples of early debates between Ruby and other languages, and a review of the Ruby ecosystem including implementations, tools, testing, debugging, and community aspects.
- The document discusses Ruby meta programming and provides information about the author such as their Twitter handle and blog. It then covers topics like what Ruby is, differences between Ruby and other languages, and new concepts in Ruby like symbols, variables, and object-oriented principles.
JRuby is a Ruby implementation that runs on the Java Virtual Machine (JVM). It allows Ruby code to leverage Java libraries and deployment options like WAR files. JRuby code is compiled to JVM bytecode, enabling features like multithreading and just-in-time compilation for performance. While C extensions and startup time are drawbacks, JRuby provides advantages for Java interoperability, threading, and deployment in Java environments.
MuleSoft for AgentForce : Topic Center and API Catalogshyamraj55
This presentation dives into how MuleSoft empowers AgentForce with organized API discovery and streamlined integration using Topic Center and the API Catalog. Learn how these tools help structure APIs around business needs, improve reusability, and simplify collaboration across teams. Ideal for developers, architects, and business stakeholders looking to build a connected and scalable API ecosystem within AgentForce.
Your startup on AWS - How to architect and maintain a Lean and Mean account J...angelo60207
Prevent infrastructure costs from becoming a significant line item on your startup’s budget! Serial entrepreneur and software architect Angelo Mandato will share his experience with AWS Activate (startup credits from AWS) and knowledge on how to architect a lean and mean AWS account ideal for budget minded and bootstrapped startups. In this session you will learn how to manage a production ready AWS account capable of scaling as your startup grows for less than $100/month before credits. We will discuss AWS Budgets, Cost Explorer, architect priorities, and the importance of having flexible, optimized Infrastructure as Code. We will wrap everything up discussing opportunities where to save with AWS services such as S3, EC2, Load Balancers, Lambda Functions, RDS, and many others.
מכונת קנטים המתאימה לנגריות קטנות או גדולות (כמכונת גיבוי).
מדביקה קנטים מגליל או פסים, עד עובי קנט – 3 מ"מ ועובי חומר עד 40 מ"מ. בקר ממוחשב המתריע על תקלות, ומנועים מאסיביים תעשייתיים כמו במכונות הגדולות.
Floods in Valencia: Two FME-Powered Stories of Data ResilienceSafe Software
In October 2024, the Spanish region of Valencia faced severe flooding that underscored the critical need for accessible and actionable data. This presentation will explore two innovative use cases where FME facilitated data integration and availability during the crisis. The first case demonstrates how FME was used to process and convert satellite imagery and other geospatial data into formats tailored for rapid analysis by emergency teams. The second case delves into making human mobility data—collected from mobile phone signals—accessible as source-destination matrices, offering key insights into population movements during and after the flooding. These stories highlight how FME's powerful capabilities can bridge the gap between raw data and decision-making, fostering resilience and preparedness in the face of natural disasters. Attendees will gain practical insights into how FME can support crisis management and urban planning in a changing climate.
Kubernetes Security Act Now Before It’s Too LateMichael Furman
In today's cloud-native landscape, Kubernetes has become the de facto standard for orchestrating containerized applications, but its inherent complexity introduces unique security challenges. Are you one YAML away from disaster?
This presentation, "Kubernetes Security: Act Now Before It’s Too Late," is your essential guide to understanding and mitigating the critical security risks within your Kubernetes environments. This presentation dives deep into the OWASP Kubernetes Top Ten, providing actionable insights to harden your clusters.
We will cover:
The fundamental architecture of Kubernetes and why its security is paramount.
In-depth strategies for protecting your Kubernetes Control Plane, including kube-apiserver and etcd.
Crucial best practices for securing your workloads and nodes, covering topics like privileged containers, root filesystem security, and the essential role of Pod Security Admission.
Don't wait for a breach. Learn how to identify, prevent, and respond to Kubernetes security threats effectively.
It's time to act now before it's too late!
The State of Web3 Industry- Industry ReportLiveplex
Web3 is poised for mainstream integration by 2030, with decentralized applications potentially reaching billions of users through improved scalability, user-friendly wallets, and regulatory clarity. Many forecasts project trillions of dollars in tokenized assets by 2030 , integration of AI, IoT, and Web3 (e.g. autonomous agents and decentralized physical infrastructure), and the possible emergence of global interoperability standards. Key challenges going forward include ensuring security at scale, preserving decentralization principles under regulatory oversight, and demonstrating tangible consumer value to sustain adoption beyond speculative cycles.
Scaling GenAI Inference From Prototype to Production: Real-World Lessons in S...Anish Kumar
Presented by: Anish Kumar
LinkedIn: https://www.linkedin.com/in/anishkumar/
This lightning talk dives into real-world GenAI projects that scaled from prototype to production using Databricks’ fully managed tools. Facing cost and time constraints, we leveraged four key Databricks features—Workflows, Model Serving, Serverless Compute, and Notebooks—to build an AI inference pipeline processing millions of documents (text and audiobooks).
This approach enables rapid experimentation, easy tuning of GenAI prompts and compute settings, seamless data iteration and efficient quality testing—allowing Data Scientists and Engineers to collaborate effectively. Learn how to design modular, parameterized notebooks that run concurrently, manage dependencies and accelerate AI-driven insights.
Whether you're optimizing AI inference, automating complex data workflows or architecting next-gen serverless AI systems, this session delivers actionable strategies to maximize performance while keeping costs low.
Bridging the divide: A conversation on tariffs today in the book industry - T...BookNet Canada
A collaboration-focused conversation on the recently imposed US and Canadian tariffs where speakers shared insights into the current legislative landscape, ongoing advocacy efforts, and recommended next steps. This event was presented in partnership with the Book Industry Study Group.
Link to accompanying resource: https://bnctechforum.ca/sessions/bridging-the-divide-a-conversation-on-tariffs-today-in-the-book-industry/
Presented by BookNet Canada and the Book Industry Study Group on May 29, 2025 with support from the Department of Canadian Heritage.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2025/06/addressing-evolving-ai-model-challenges-through-memory-and-storage-a-presentation-from-micron/
Wil Florentino, Senior Segment Marketing Manager at Micron, presents the “Addressing Evolving AI Model Challenges Through Memory and Storage” tutorial at the May 2025 Embedded Vision Summit.
In the fast-changing world of artificial intelligence, the industry is deploying more AI compute at the edge. But the growing diversity and data footprint of transformers and models such as large language models and large multimodal models puts a spotlight on memory performance and data storage capacity as key bottlenecks. Enabling the full potential of AI in industries such as manufacturing, automotive, robotics and transportation will require us to find efficient ways to deploy this new generation of complex models.
In this presentation, Florentino explores how memory and storage are responding to this need and solving complex issues in the AI market. He examines the storage capacity and memory bandwidth requirements of edge AI use cases ranging from tiny devices with severe cost and power constraints to edge servers, and he explains how new memory technologies such as LPDDR5, LPCAMM2 and multi-port SSDs are helping system developers to meet these challenges.
Supporting the NextGen 911 Digital Transformation with FMESafe Software
Next Generation 911 involves the transformation of our 911 system from an old analog one to the new digital internet based architecture. The evolution of NG911 opens up a host of new opportunities to improve the system. This includes everything from device based location, to real time text. This can improve location accuracy dramatically as well as provide live updates from the citizen in need along with real time sensor updates. There is also the opportunity to provide multi-media attachments and medical records if the end user approves. This digital transformation and enhancements all require the support of new NENA and CRTC standards, along with integration across a variety of data streams.
This presentation will focus on how FME has supported NG911 transformations to date, and how we are positioning FME to support the enhanced capabilities to come. This session will be of interest to emergency services, municipalities and anyone who may be interested to know more about how emergency services are being improved to provide more accurate, localized information in order to improve the speed and relevance of emergency response and ultimately save more lives and provide better outcomes for those in need.
National Fuels Treatments Initiative: Building a Seamless Map of Hazardous Fu...Safe Software
The National Fuels Treatments Initiative (NFT) is transforming wildfire mitigation by creating a standardized map of nationwide fuels treatment locations across all land ownerships in the United States. While existing state and federal systems capture this data in diverse formats, NFT bridges these gaps, delivering the first truly integrated national view. This dataset will be used to measure the implementation of the National Cohesive Wildland Strategy and demonstrate the positive impact of collective investments in hazardous fuels reduction nationwide. In Phase 1, we developed an ETL pipeline template in FME Form, leveraging a schema-agnostic workflow with dynamic feature handling intended for fast roll-out and light maintenance. This was key as the initiative scaled from a few to over fifty contributors nationwide. By directly pulling from agency data stores, oftentimes ArcGIS Feature Services, NFT preserves existing structures, minimizing preparation needs. External mapping tables ensure consistent attribute and domain alignment, while robust change detection processes keep data current and actionable. Now in Phase 2, we’re migrating pipelines to FME Flow to take advantage of advanced scheduling, monitoring dashboards, and automated notifications to streamline operations. Join us to explore how this initiative exemplifies the power of technology, blending FME, ArcGIS Online, and AWS to solve a national business problem with a scalable, automated solution.
Data Validation and System InteroperabilitySafe Software
A non-profit human services agency with specialized health record and billing systems. Challenges solved include access control integrations from employee electronic HR records, multiple regulations compliance, data migrations, benefits enrollments, payroll processing, and automated reporting for business intelligence and analysis.
Providing an OGC API Processes REST Interface for FME FlowSafe Software
This presentation will showcase an adapter for FME Flow that provides REST endpoints for FME Workspaces following the OGC API Processes specification. The implementation delivers robust, user-friendly API endpoints, including standardized methods for parameter provision. Additionally, it enhances security and user management by supporting OAuth2 authentication. Join us to discover how these advancements can elevate your enterprise integration workflows and ensure seamless, secure interactions with FME Flow.
Reducing Conflicts and Increasing Safety Along the Cycling Networks of East-F...Safe Software
In partnership with the Belgian Province of East-Flanders this project aimed to reduce conflicts and increase safety along a cycling route between the cities of Oudenaarde and Ghent. To achieve this goal, the current cycling network data needed some extra key information, including: Speed limits for segments, Access restrictions for different users (pedestrians, cyclists, motor vehicles, etc.), Priority rules at intersections. Using a 360° camera and GPS mounted on a measuring bicycle, we collected images of traffic signs and ground markings along the cycling lanes building up mobile mapping data. Image recognition technologies identified the road signs, creating a dataset with their locations and codes. The data processing entailed three FME workspaces. These included identifying valid intersections with other networks (e.g., roads, railways), creating a topological network between segments and intersections and linking road signs to segments and intersections based on proximity and orientation. Additional features, such as speed zones, inheritance of speed and access to neighbouring segments were also implemented to further enhance the data. The final results were visualized in ArcGIS, enabling analysis for the end users. The project provided them with key insights, including statistics on accessible road segments, speed limits, and intersection priorities. These will make the cycling paths more safe and uniform, by reducing conflicts between users.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2025/06/why-its-critical-to-have-an-integrated-development-methodology-for-edge-ai-a-presentation-from-lattice-semiconductor/
Sreepada Hegade, Director of ML Systems and Software at Lattice Semiconductor, presents the “Why It’s Critical to Have an Integrated Development Methodology for Edge AI” tutorial at the May 2025 Embedded Vision Summit.
The deployment of neural networks near sensors brings well-known advantages such as lower latency, privacy and reduced overall system cost—but also brings significant challenges that complicate development. These challenges can be addressed effectively by choosing the right solution and design methodology. The low-power FPGAs from Lattice are well poised to enable efficient edge implementation of models, while Lattice’s proven development methodology helps to mitigate the challenges and risks associated with edge model deployment.
In this presentation, Hegade explains the importance of an integrated framework that tightly consolidates different aspects of edge AI development, including training, quantization of networks for edge deployment, integration with sensors and inferencing. He also illustrates how Lattice’s simplified tool flow helps to achieve the best trade-off between power, performance and efficiency using low-power FPGAs for edge deployment of various AI workloads.
ENERGY CONSUMPTION CALCULATION IN ENERGY-EFFICIENT AIR CONDITIONER.pdfMuhammad Rizwan Akram
DC Inverter Air Conditioners are revolutionizing the cooling industry by delivering affordable,
energy-efficient, and environmentally sustainable climate control solutions. Unlike conventional
fixed-speed air conditioners, DC inverter systems operate with variable-speed compressors that
modulate cooling output based on demand, significantly reducing energy consumption and
extending the lifespan of the appliance.
These systems are critical in reducing electricity usage, lowering greenhouse gas emissions, and
promoting eco-friendly technologies in residential and commercial sectors. With advancements in
compressor control, refrigerant efficiency, and smart energy management, DC inverter air conditioners
have become a benchmark in sustainable climate control solutions
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
2. The Java platform “ It’s all about the Java Virtual Machine. That’s the integration hub.” Gosling, Sun Tech Days 2007 Lots of new languages for the JVM Scala, Clojure, Groovy, Jython, (J)Ruby, JavaScript (Rhino), JavaFX The DaVinci Machine JSR-292 Target JDK 7 invokedynamic instruction
3. Why Ruby? Ubiquity C-Ruby (MRI) JRuby IronRuby (.NET) Rubinius, Maglev, YARV Scripting java shebang/backticks Rails Framework Support from Sun, Thoughtworks Most likely to succeed?
4. What is Ruby? Created by Yukihiro Matsumoto (Matz) in 1993 “ A dynamic, open source programming language with a focus on simplicity and productivity. It has an elegant syntax that is natural to read and easy to write.” The principle of least surprise Runtime efficiency not a top priority “ More powerful than Perl, more OO than Python” MRI is the specification RubySpec is in the works
5. Ruby Characteristics Interpreted Object oriented ” myString”.upcase 2_500.+2 44.modulo 5 Reflective Garbage collected Duck typing If it walks like a duck and quacks like a duck it must be a duck
6. Dynamic features Reopen existing classes redefine methods “ monkeypatching” Meta-programming Method aliasing alias_method :validates_size_of , :validates_length_of method_missing Eg provide a generic sort method sort_by_x Closures
7. Core Ruby tools (j)ruby the interpreter (j)irb interactive ruby, ~readline support, tab completion ri ruby interactive ~man pages rdoc html doc ~javadoc rake ant/make for ruby gem package manager
8. Ruby anatomy Classes are CamelCased Methods are under_scored Generally no need for curly braces, parentheses, semicolon or return statement code more compact Comments =begin block comment =end # line comment Variables Constant @@classVariable @instanceVariable localVariable :symbol
10. Ruby structure Modules Module::Class Mix-ins interfaces with functionality Namespace Subclass < Superclass Single inheritance only Files are named *.rb can hold many classes require ’file’ include Module searches $LOAD_PATH
11. Access modifiers private Private to this instance (might be a subclass) You can’t specify the receiver, not even self protected Can be called by instances of the same class Eg use for comparators public FFA private :method or private (until end) The modifiers are methods, not keywords
13. Method signature - Java Method overloading Number of method signatures increases fast if flexibility is wanted
14. Method signature – PL/SQL Named parameters Still have to change method signature too add parameters
15. Method signature – Ruby Hash as optional parameter, not named parameters No need to change method signature Hash doesn’t need curly braces Method overload unavailable *args => arguments array
16. More syntax examples =~ regexp matcher myString =~ /[0-9]+/ %w[] String array myArray = %w[ruby java haskell] {||} or do || end closures (and embedded variables) myHash.each { |k, v| puts k+’ is ‘+v } myHash.each do |key, val| puts “#{key} is #{val}” end
17. Ruby on Rails MVC Framework “ Rails is the most well thought-out web development framework I’ve ever used. And that’s in a decade of doing web applications for a living. I’ve built my own frameworks, helped develop the Servlet API, and have created more than a few web servers from scratch. Nobody has done it like this before.” -James Duncan Davidson, Creator of Tomcat and Ant “ Rails is the killer app for Ruby.” Yukihiro Matsumoto, Creator of Ruby
18. RoR principles Opinionated software Convention over configuration DRY REST GET /products #get all GET /products/42 #get id=42 POST /products #create Fast feedback loop just reload, no compile Rails itself is a gem
19. Ruby on Rails concepts rails <appname> generates skeleton routes.rb ~struts-config.xml *.html.erb ~JSP Generators Generates model, view, controller, tests Partials (html.erb snippets) Plugins (instead of gems) Default database is sqlite3 (via JDBC for JRuby) Filters (defined in controller)
20. RoR tools rails <appname> -d <database> script/generate scaffold Person name:string script/server script/console irb with access to the application script/dbconsole enter SQL script/server –debugger debugger in the code drops to console
21. ActiveRecord O/R mapping Db migrations, dev, test, prod up and down database agnostic rake db:migrate config/database.yml Opinionated software primary key named id pluralization class Book => db books
22. RoR model example class BlogPost < ActiveRecord::Base belongs_to :author has_many :comments validates_presence_of :title end comments table needs blog_post_id blog_posts table needs author_id New post need title field
26. Jruby Motivation The JVM Sneak into the enterprise Reuse infrastructure Integrate with Java applications Performance and scalability
27. JRuby on Rails Develop as Java Netbeans Eclipse Integrate with Java Call EJBs Use JMS queues Use JNDI Use JAAS Deploy on Java As *.war using warbler Rails deployer (JBoss, Glassfish)
28. Java integration include Java / require ”java” include Java::JavaxSwing include_class "javax.naming.InitialContext” require ”path/to/my.jar” prefix javaclasses to avoid name collisions String => JString include_class 'java.lang.String’ {|package,name| "J#{name}" } Method alias System.currentTimeMillis => System.current_time_millis Getters and setters behaves like attr_accessor fields
29. IDE support Eclipse - DLTK (Dynamic Languages Toolkit) Eclipse foundation plugin Support for TCL, Python, Ruby No Rails Eclipse - Aptana RadRails RDT Ruby Editor Rails support generators/scripts Visual debug Testrunner Netbeans Official plugin
30. Conclusion Ruby is sweet! Syntactic sugar Fun to work with Ruby is useful! Integrate with Java OO scripting Rails is probably fast enough Ruby is hard! “ Good programmers become better, bad programmers become worse” Test, test, test