Compilation
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This covers details of the processes of compilation. A lot of extra teaching support is required with these. Originally written for AQA A level Computing (UK exam).
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An unbiased plan driven by clearcut deliverables, market dynamics and without the influence of your internal office equations empower business leaders to make right choices.
Getting things done within a budget within a timeframe is key to Growing Business - No matter whether you are a start-up or a big company
Talk to us & Unlock the competitive advantage
Canadian book publishing: Insights from the latest salary survey - Tech Forum...
Canadian book publishing: Insights from the latest salary survey - Tech Forum...BookNet Canada Join us for a presentation in partnership with the Association of Canadian Publishers (ACP) as they share results from the recently conducted Canadian Book Publishing Industry Salary Survey. This comprehensive survey provides key insights into average salaries across departments, roles, and demographic metrics. Members of ACP’s Diversity and Inclusion Committee will join us to unpack what the findings mean in the context of justice, equity, diversity, and inclusion in the industry.
Results of the 2024 Canadian Book Publishing Industry Salary Survey: https://publishers.ca/wp-content/uploads/2025/04/ACP_Salary_Survey_FINAL-2.pdf
Link to presentation recording and transcript: https://bnctechforum.ca/sessions/canadian-book-publishing-insights-from-the-latest-salary-survey/
Presented by BookNet Canada and the Association of Canadian Publishers on May 1, 2025 with support from the Department of Canadian Heritage.
Challenges in Migrating Imperative Deep Learning Programs to Graph Execution:...
Challenges in Migrating Imperative Deep Learning Programs to Graph Execution:...Raffi Khatchadourian Efficiency is essential to support responsiveness w.r.t. ever-growing datasets, especially for Deep Learning (DL) systems. DL frameworks have traditionally embraced deferred execution-style DL code that supports symbolic, graph-based Deep Neural Network (DNN) computation. While scalable, such development tends to produce DL code that is error-prone, non-intuitive, and difficult to debug. Consequently, more natural, less error-prone imperative DL frameworks encouraging eager execution have emerged at the expense of run-time performance. While hybrid approaches aim for the "best of both worlds," the challenges in applying them in the real world are largely unknown. We conduct a data-driven analysis of challenges---and resultant bugs---involved in writing reliable yet performant imperative DL code by studying 250 open-source projects, consisting of 19.7 MLOC, along with 470 and 446 manually examined code patches and bug reports, respectively. The results indicate that hybridization: (i) is prone to API misuse, (ii) can result in performance degradation---the opposite of its intention, and (iii) has limited application due to execution mode incompatibility. We put forth several recommendations, best practices, and anti-patterns for effectively hybridizing imperative DL code, potentially benefiting DL practitioners, API designers, tool developers, and educators.
TrsLabs - AI Agents for All - Chatbots to Multi-Agents Systems
TrsLabs - AI Agents for All - Chatbots to Multi-Agents SystemsTrs Labs AI Adoption for Your Business
AI applications have evolved from chatbots
into sophisticated AI agents capable of
handling complex workflows. Multi-agent
systems are the next phase of evolution.
Designing Low-Latency Systems with Rust and ScyllaDB: An Architectural Deep Dive
Designing Low-Latency Systems with Rust and ScyllaDB: An Architectural Deep DiveScyllaDB Want to learn practical tips for designing systems that can scale efficiently without compromising speed?
Join us for a workshop where we’ll address these challenges head-on and explore how to architect low-latency systems using Rust. During this free interactive workshop oriented for developers, engineers, and architects, we’ll cover how Rust’s unique language features and the Tokio async runtime enable high-performance application development.
As you explore key principles of designing low-latency systems with Rust, you will learn how to:
- Create and compile a real-world app with Rust
- Connect the application to ScyllaDB (NoSQL data store)
- Negotiate tradeoffs related to data modeling and querying
- Manage and monitor the database for consistently low latencies
How analogue intelligence complements AI
How analogue intelligence complements AIPaul Rowe
Artificial Intelligence is providing benefits in many areas of work within the heritage sector, from image analysis, to ideas generation, and new research tools. However, it is more critical than ever for people, with analogue intelligence, to ensure the integrity and ethical use of AI. Including real people can improve the use of AI by identifying potential biases, cross-checking results, refining workflows, and providing contextual relevance to AI-driven results.
News about the impact of AI often paints a rosy picture. In practice, there are many potential pitfalls. This presentation discusses these issues and looks at the role of analogue intelligence and analogue interfaces in providing the best results to our audiences. How do we deal with factually incorrect results? How do we get content generated that better reflects the diversity of our communities? What roles are there for physical, in-person experiences in the digital world?
GyrusAI - Broadcasting & Streaming Applications Driven by AI and ML
GyrusAI - Broadcasting & Streaming Applications Driven by AI and MLGyrus AI Gyrus AI: AI/ML for Broadcasting & Streaming
Gyrus is a Vision Al company developing Neural Network Accelerators and ready to deploy AI/ML Models for Video Processing and Video Analytics.
Our Solutions:
Intelligent Media Search
Semantic & contextual search for faster, smarter content discovery.
In-Scene Ad Placement
AI-powered ad insertion to maximize monetization and user experience.
Video Anonymization
Automatically masks sensitive content to ensure privacy compliance.
Vision Analytics
Real-time object detection and engagement tracking.
Why Gyrus AI?
We help media companies streamline operations, enhance media discovery, and stay competitive in the rapidly evolving broadcasting & streaming landscape.
🚀 Ready to Transform Your Media Workflow?
🔗 Visit Us: https://gyrus.ai/
📅 Book a Demo: https://gyrus.ai/contact
📝 Read More: https://gyrus.ai/blog/
🔗 Follow Us:
LinkedIn - https://www.linkedin.com/company/gyrusai/
Twitter/X - https://twitter.com/GyrusAI
YouTube - https://www.youtube.com/channel/UCk2GzLj6xp0A6Wqix1GWSkw
Facebook - https://www.facebook.com/GyrusAI
UiPath Automation Suite – Cas d'usage d'une NGO internationale basée à Genève
UiPath Automation Suite – Cas d'usage d'une NGO internationale basée à GenèveUiPathCommunity Nous vous convions à une nouvelle séance de la communauté UiPath en Suisse romande.
Cette séance sera consacrée à un retour d'expérience de la part d'une organisation non gouvernementale basée à Genève. L'équipe en charge de la plateforme UiPath pour cette NGO nous présentera la variété des automatisations mis en oeuvre au fil des années : de la gestion des donations au support des équipes sur les terrains d'opération.
Au délà des cas d'usage, cette session sera aussi l'opportunité de découvrir comment cette organisation a déployé UiPath Automation Suite et Document Understanding.
Cette session a été diffusée en direct le 7 mai 2025 à 13h00 (CET).
Découvrez toutes nos sessions passées et à venir de la communauté UiPath à l’adresse suivante : https://community.uipath.com/geneva/.
#StandardsGoals for 2025: Standards & certification roundup - Tech Forum 2025
#StandardsGoals for 2025: Standards & certification roundup - Tech Forum 2025BookNet Canada Book industry standards are evolving rapidly. In the first part of this session, we’ll share an overview of key developments from 2024 and the early months of 2025. Then, BookNet’s resident standards expert, Tom Richardson, and CEO, Lauren Stewart, have a forward-looking conversation about what’s next.
Link to recording, transcript, and accompanying resource: https://bnctechforum.ca/sessions/standardsgoals-for-2025-standards-certification-roundup/
Presented by BookNet Canada on May 6, 2025 with support from the Department of Canadian Heritage.
Cybersecurity Identity and Access Solutions using Azure AD
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Foundations of Cybersecurity - Google Certificate
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TrsLabs - Leverage the Power of UPI Payments
TrsLabs - Leverage the Power of UPI PaymentsTrs Labs Revolutionize your Fintech growth with UPI Payments
"Riding the UPI strategy" refers to leveraging the Unified Payments Interface (UPI) to drive digital payments in India and beyond. This involves understanding UPI's features, benefits, and potential, and developing strategies to maximize its usage and impact. Essentially, it's about strategically utilizing UPI to promote digital payments, financial inclusion, and economic growth.
Webinar - Top 5 Backup Mistakes MSPs and Businesses Make .pptx
Webinar - Top 5 Backup Mistakes MSPs and Businesses Make .pptxMSP360 Data loss can be devastating — especially when you discover it while trying to recover. All too often, it happens due to mistakes in your backup strategy. Whether you work for an MSP or within an organization, your company is susceptible to common backup mistakes that leave data vulnerable, productivity in question, and compliance at risk.
Join 4-time Microsoft MVP Nick Cavalancia as he breaks down the top five backup mistakes businesses and MSPs make—and, more importantly, explains how to prevent them.
fennec fox optimization algorithm for optimal solution
fennec fox optimization algorithm for optimal solutionshallal2 Imagine you have a group of fennec foxes searching for the best spot to find food (the optimal solution to a problem). Each fox represents a possible solution and carries a unique "strategy" (set of parameters) to find food. These strategies are organized in a table (matrix X), where each row is a fox, and each column is a parameter they adjust, like digging depth or speed.
AI Agents at Work: UiPath, Maestro & the Future of Documents
AI Agents at Work: UiPath, Maestro & the Future of DocumentsUiPathCommunity Do you find yourself whispering sweet nothings to OCR engines, praying they catch that one rogue VAT number? Well, it’s time to let automation do the heavy lifting – with brains and brawn.
Join us for a high-energy UiPath Community session where we crack open the vault of Document Understanding and introduce you to the future’s favorite buzzword with actual bite: Agentic AI.
This isn’t your average “drag-and-drop-and-hope-it-works” demo. We’re going deep into how intelligent automation can revolutionize the way you deal with invoices – turning chaos into clarity and PDFs into productivity. From real-world use cases to live demos, we’ll show you how to move from manually verifying line items to sipping your coffee while your digital coworkers do the grunt work:
📕 Agenda:
🤖 Bots with brains: how Agentic AI takes automation from reactive to proactive
🔍 How DU handles everything from pristine PDFs to coffee-stained scans (we’ve seen it all)
🧠 The magic of context-aware AI agents who actually know what they’re doing
💥 A live walkthrough that’s part tech, part magic trick (minus the smoke and mirrors)
🗣️ Honest lessons, best practices, and “don’t do this unless you enjoy crying” warnings from the field
So whether you’re an automation veteran or you still think “AI” stands for “Another Invoice,” this session will leave you laughing, learning, and ready to level up your invoice game.
Don’t miss your chance to see how UiPath, DU, and Agentic AI can team up to turn your invoice nightmares into automation dreams.
This session streamed live on May 07, 2025, 13:00 GMT.
Join us and check out all our past and upcoming UiPath Community sessions at:
👉 https://community.uipath.com/dublin-belfast/
Hybridize Functions: A Tool for Automatically Refactoring Imperative Deep Lea...
Hybridize Functions: A Tool for Automatically Refactoring Imperative Deep Lea...Raffi Khatchadourian Efficiency is essential to support responsiveness w.r.t. ever-growing datasets, especially for Deep Learning (DL) systems. DL frameworks have traditionally embraced deferred execution-style DL code—supporting symbolic, graph-based Deep Neural Network (DNN) computation. While scalable, such development is error-prone, non-intuitive, and difficult to debug. Consequently, more natural, imperative DL frameworks encouraging eager execution have emerged but at the expense of run-time performance. Though hybrid approaches aim for the “best of both worlds,” using them effectively requires subtle considerations to make code amenable to safe, accurate, and efficient graph execution—avoiding performance bottlenecks and semantically inequivalent results. We discuss the engineering aspects of a refactoring tool that automatically determines when it is safe and potentially advantageous to migrate imperative DL code to graph execution and vice-versa.
Challenges in Migrating Imperative Deep Learning Programs to Graph Execution:...
Challenges in Migrating Imperative Deep Learning Programs to Graph Execution:...Raffi Khatchadourian
Hybridize Functions: A Tool for Automatically Refactoring Imperative Deep Lea...
Hybridize Functions: A Tool for Automatically Refactoring Imperative Deep Lea...Raffi Khatchadourian
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Compilation
- 1. Compilation From code to executable By David Halliday
- 2. Stages from Source to Executable Compilation: source code ==> relocatable object code (binaries) Linking: many relocatable binaries (modules plus libraries) ==> one relocatable binary (with all external references satisfied) Loading: relocatable ==> absolute binary (with all code and data references bound to the addresses occupied in memory) Execution: control is transferred to the first instruction of the program
- 3. Phases of the Compilation Process 1 Lexical analysis (scanning): the source text is broken into tokens. Syntactic analysis (parsing): tokens are combined to form syntactic structures, typically represented by a parse tree. The parser may be replaced by a syntax-directed editor, which directly generates a parse tree as a product of editing. Semantic analysis: intermediate code is generated for each syntactic structure. Type checking is performed in this phase.
- 4. Phases of the Compilation Process 2 Machine-independent optimization: intermediate code is optimized to improve efficiency. Code generation: intermediate code is translated to relocatable object code for the target machine. Machine-dependent optimization: the machine code is optimized. On some systems (e.g., C under Unix), the compiler produces assembly code, which is then translated by an assembler.