The document describes the function call stack when main() calls b(), which then calls a(). The call stack shows the order of function calls with main() at the top, then b(), and a() at the bottom, with each function activation stored on the stack.
Tree is a non-linear data structure that can represent hierarchical relationships. It consists of nodes connected by edges. The root node has child nodes, and nodes may be leaf nodes or have child nodes themselves. Binary trees restrict nodes to having at most two children. General trees can be converted to binary trees by making the first child the left child and next siblings the right child. Binary trees can be built from input data by comparing values to determine left or right placement, or from traversal operations.
This document describes the maximum flow problem and the Ford-Fulkerson algorithm for finding the maximum flow in a flow network. It defines flow networks as directed graphs with edge capacities and discusses the concepts of flow, residual networks, augmenting paths, and how the Ford-Fulkerson method works by repeatedly finding augmenting paths and pushing additional flow along these paths until no more are possible. The time complexity of the basic Ford-Fulkerson algorithm is O(|E|f*) where |E| is the number of edges and f* is the value of the maximum flow.
This document describes an implementation of a stack using an array in C. It includes functions to push elements onto the stack, pop elements off the stack, and display the elements currently in the stack. The main module contains a menu that allows the user to choose these stack operations and includes error handling for invalid inputs or overflow/underflow of the stack.
The document describes the process of minimizing a deterministic finite automaton (DFA) using the Myhill-Nerode theorem. It involves 4 steps: 1) creating a table of all state pairs, 2) marking pairs where one state is final and the other is not, 3) transitively marking additional pairs, 4) combining any remaining unmarked pairs into single states. An example is provided where the given 6-state DFA is minimized to a 3-state DFA using this process. Terminology used in DFA minimization is also defined.
1. A parse tree shows how the start symbol of a grammar derives a string in the language by using interior nodes labeled with nonterminals and children labeled with terminals or nonterminals according to the grammar's productions.
2. An ambiguous grammar is one where a single string can have more than one parse tree, leftmost derivation, rightmost derivation, or other derivation according to the grammar.
3. Operator precedence and associativity determine the order of operations when multiple operators are present in an expression. For example, multiplication generally has higher precedence than addition, and most operators associate left-to-right.
Tail recursion is when a recursive call is the last thing executed by a function. This allows the call stack to reuse stack frames rather than building up the call stack, avoiding stack overflow issues. A tail recursive function calculates results as it goes rather than waiting to return from recursive calls. This optimization makes tail recursive functions more efficient than regular recursive functions in terms of speed and memory usage.
The document discusses regular expressions and how to convert them to nondeterministic finite automata (NFAs). It defines the basic operations used in regular expressions like concatenation, alternation, and Kleene star. It then defines what an NFA is formally in terms of its 5-tuple representation consisting of states, input symbols, transitions, initial state, and accepting states. It mentions the Thompson-Yamada construction algorithm for converting regular expressions to NFAs and outlines the functions like infix to postfix conversion and precedence checking that would be used to implement such an algorithm.
This document discusses top-down parsing and different types of top-down parsers, including recursive descent parsers, predictive parsers, and LL(1) grammars. It explains how to build predictive parsers without recursion by using a parsing table constructed from the FIRST and FOLLOW sets of grammar symbols. The key steps are: 1) computing FIRST and FOLLOW, 2) filling the predictive parsing table based on FIRST/FOLLOW, 3) using the table to parse inputs in a non-recursive manner by maintaining the parser's own stack. An example is provided to illustrate constructing the FIRST/FOLLOW sets and parsing table for a sample grammar.
File Handling and Command Line Arguments in CMahendra Yadav
This document discusses file handling and command line arguments in C programming. It covers opening, reading and writing files, as well as the basics of passing arguments to a program from the command line using argc and argv. It includes examples of creating and writing to a file, as well as a program that adds command line arguments and outputs the sum.
Counting sort is an algorithm that sorts elements by counting the number of occurrences of each unique element in an array. It works by:
1) Creating a count array to store the count of each unique object in the input array.
2) Modifying the count array to store cumulative counts.
3) Creating an output array by using the modified count array to output elements in sorted order.
This document discusses stacks and their applications. It defines a stack as a Last In First Out (LIFO) data structure where newly added items are placed on top. The core stack operations of PUSH, POP, and PEEK are described. An array implementation of stacks is presented and animations demonstrate push and pop operations. Applications of stacks like checking for balanced braces, converting infix to postfix notation, and postfix calculators are explained with examples. Pseudocode provides an algorithm for infix to postfix conversion using a stack.
The document discusses heap data structures and their use in priority queues and heapsort. It defines a heap as a complete binary tree stored in an array. Each node stores a value, with the heap property being that a node's value is greater than or equal to its children's values (for a max heap). Algorithms like Max-Heapify, Build-Max-Heap, Heap-Extract-Max, and Heap-Increase-Key are presented to maintain the heap property during operations. Priority queues use heaps to efficiently retrieve the maximum element, while heapsort sorts an array by building a max heap and repeatedly extracting elements.
Trees. Defining, Creating and Traversing Trees. Traversing the File System
Binary Search Trees. Balanced Trees
Graphs and Graphs Traversal Algorithms
Exercises: Working with Trees and Graphs
The document discusses different storage classes in C++ including automatic, external, static, register, and mutable. It provides the syntax and examples of each:
- Automatic variables are declared with auto and have function block scope and lifetime.
- External variables use extern and have whole program global visibility.
- Static variables are declared with static and have whole program lifetime but local visibility.
- Register variables are intended for fast access and declared with register but storage is implementation-defined.
- Mutable variables allow changing class member values in const member functions and are declared with mutable.
Strassen's algorithm improves on the basic matrix multiplication algorithm which runs in O(N3) time. It achieves this by dividing the matrices into sub-matrices and performing 7 multiplications and 18 additions on the sub-matrices, rather than the 8 multiplications of the basic algorithm. This results in a runtime of O(N2.81) using divide and conquer, providing an asymptotic improvement over the basic O(N3) algorithm.
Stacks, Queues, and Deques describes different data structures and their properties. Stacks follow LIFO order with insertion and removal at the same end. Queues follow FIFO order with insertion at one end and removal at the other. Deques allow insertion and removal at both ends. These structures can be implemented using arrays or linked lists.
This document discusses stacks as a linear data structure. It defines a stack as a last-in, first-out (LIFO) collection where the last item added is the first removed. The core stack operations of push and pop are introduced, along with algorithms to insert, delete, and display items in a stack. Examples of stack applications include reversing strings, checking validity of expressions with nested parentheses, and converting infix notation to postfix.
The document discusses three common multithreading models: many-to-one, one-to-one, and many-to-many. It also describes common high-level program structures for multithreaded programs like the boss/workers model, pipeline model, up-calls, and using version stamps to keep shared information consistent.
A graph consists of vertices and edges, where vertices represent entities and edges represent relationships between vertices. Graphs can be represented sequentially using matrices like adjacency and incidence matrices, or linked using data structures like adjacency lists. Adjacency matrices allow fast addition/removal of edges but use more memory, while adjacency lists use less memory but are slower to modify. The best representation depends on whether the graph is dense or sparse.
The document discusses priority queues, which are data structures that allow elements to be inserted and removed based on priority. Elements with higher priority are served before those with lower priority. There are two main types - ascending order queues prioritize lower numbers, while descending order queues prioritize higher numbers. Priority queues can be implemented using linked lists, arrays, binary heaps, and binary search trees. Common applications include shortest path algorithms, heap sorting, and operating system processes.
The document discusses the all pairs shortest path problem, which aims to find the shortest distance between every pair of vertices in a graph. It explains that the algorithm works by calculating the minimum cost to traverse between nodes using intermediate nodes, according to the equation A_k(i,j)=min{A_{k-1}(i,j), A_{k-1}(i,k), A_{k-1}(k,j)}. An example is provided to illustrate calculating the shortest path between nodes over multiple iterations of the algorithm.
The document discusses different types of selection and looping structures in C programming such as if-else statements, switch statements, while loops, for loops, and nested loops. It provides syntax examples and sample code to demonstrate if-else ladders, nested if statements, while, do-while and for loops. Examples include calculating grades based on marks, finding roots of quadratic equations, Fibonacci series, swapping values and reversing numbers.
Awk is a programming language used for processing structured data and generating reports. It allows manipulation of rows and columns in a file. Awk views a text file as records made up of fields, and can perform actions on certain records by using patterns and conditional statements. It supports variables, functions, and regular expressions. Syntax involves specifying an awk script or script file to apply to one or more input files.
The document discusses stacks and queues, which are common data structures that follow the Last In First Out (LIFO) and First In First Out (FIO) principles respectively. Stacks allow insertion and deletion of elements from one end only, while queues allow insertion from one end and deletion from the other end. Circular queues are better than linear queues as they make more efficient use of memory space by allowing insertion at the start when the end is reached. Multiple stacks and queues also allow managing multiple such data structures.
The document discusses different types of linked lists including:
- Singly linked lists that can only be traversed in one direction.
- Doubly linked lists that allow traversal in both directions using forward and backward pointers.
- Circular linked lists where the last node points back to the first node allowing continuous traversal.
- Header linked lists that include a header node at the beginning for simplified insertion and deletion. Header lists can be grounded where the last node contains a null pointer or circular where the last node points to the header.
- Two-way or doubly linked lists where each node contains a forward and backward pointer allowing bidirectional traversal through the list.
A visualization of a recursion problem posed in Think Like a Programmer (V. Anton Spraul) that illustrates the difference between head and tail recursion.
The document introduces a mysterious creature that nobody has confronted because they are too afraid. It asks if the reader is brave enough to help uncover how strong the creature is. The story then has a back-and-forth dialogue where one person insists they are brave enough to face certain death while confronting the creature, while choosing a goddess sword or crossbow as their weapon. They are told to practice with their weapon through the night to prepare for the encounter.
File Handling and Command Line Arguments in CMahendra Yadav
This document discusses file handling and command line arguments in C programming. It covers opening, reading and writing files, as well as the basics of passing arguments to a program from the command line using argc and argv. It includes examples of creating and writing to a file, as well as a program that adds command line arguments and outputs the sum.
Counting sort is an algorithm that sorts elements by counting the number of occurrences of each unique element in an array. It works by:
1) Creating a count array to store the count of each unique object in the input array.
2) Modifying the count array to store cumulative counts.
3) Creating an output array by using the modified count array to output elements in sorted order.
This document discusses stacks and their applications. It defines a stack as a Last In First Out (LIFO) data structure where newly added items are placed on top. The core stack operations of PUSH, POP, and PEEK are described. An array implementation of stacks is presented and animations demonstrate push and pop operations. Applications of stacks like checking for balanced braces, converting infix to postfix notation, and postfix calculators are explained with examples. Pseudocode provides an algorithm for infix to postfix conversion using a stack.
The document discusses heap data structures and their use in priority queues and heapsort. It defines a heap as a complete binary tree stored in an array. Each node stores a value, with the heap property being that a node's value is greater than or equal to its children's values (for a max heap). Algorithms like Max-Heapify, Build-Max-Heap, Heap-Extract-Max, and Heap-Increase-Key are presented to maintain the heap property during operations. Priority queues use heaps to efficiently retrieve the maximum element, while heapsort sorts an array by building a max heap and repeatedly extracting elements.
Trees. Defining, Creating and Traversing Trees. Traversing the File System
Binary Search Trees. Balanced Trees
Graphs and Graphs Traversal Algorithms
Exercises: Working with Trees and Graphs
The document discusses different storage classes in C++ including automatic, external, static, register, and mutable. It provides the syntax and examples of each:
- Automatic variables are declared with auto and have function block scope and lifetime.
- External variables use extern and have whole program global visibility.
- Static variables are declared with static and have whole program lifetime but local visibility.
- Register variables are intended for fast access and declared with register but storage is implementation-defined.
- Mutable variables allow changing class member values in const member functions and are declared with mutable.
Strassen's algorithm improves on the basic matrix multiplication algorithm which runs in O(N3) time. It achieves this by dividing the matrices into sub-matrices and performing 7 multiplications and 18 additions on the sub-matrices, rather than the 8 multiplications of the basic algorithm. This results in a runtime of O(N2.81) using divide and conquer, providing an asymptotic improvement over the basic O(N3) algorithm.
Stacks, Queues, and Deques describes different data structures and their properties. Stacks follow LIFO order with insertion and removal at the same end. Queues follow FIFO order with insertion at one end and removal at the other. Deques allow insertion and removal at both ends. These structures can be implemented using arrays or linked lists.
This document discusses stacks as a linear data structure. It defines a stack as a last-in, first-out (LIFO) collection where the last item added is the first removed. The core stack operations of push and pop are introduced, along with algorithms to insert, delete, and display items in a stack. Examples of stack applications include reversing strings, checking validity of expressions with nested parentheses, and converting infix notation to postfix.
The document discusses three common multithreading models: many-to-one, one-to-one, and many-to-many. It also describes common high-level program structures for multithreaded programs like the boss/workers model, pipeline model, up-calls, and using version stamps to keep shared information consistent.
A graph consists of vertices and edges, where vertices represent entities and edges represent relationships between vertices. Graphs can be represented sequentially using matrices like adjacency and incidence matrices, or linked using data structures like adjacency lists. Adjacency matrices allow fast addition/removal of edges but use more memory, while adjacency lists use less memory but are slower to modify. The best representation depends on whether the graph is dense or sparse.
The document discusses priority queues, which are data structures that allow elements to be inserted and removed based on priority. Elements with higher priority are served before those with lower priority. There are two main types - ascending order queues prioritize lower numbers, while descending order queues prioritize higher numbers. Priority queues can be implemented using linked lists, arrays, binary heaps, and binary search trees. Common applications include shortest path algorithms, heap sorting, and operating system processes.
The document discusses the all pairs shortest path problem, which aims to find the shortest distance between every pair of vertices in a graph. It explains that the algorithm works by calculating the minimum cost to traverse between nodes using intermediate nodes, according to the equation A_k(i,j)=min{A_{k-1}(i,j), A_{k-1}(i,k), A_{k-1}(k,j)}. An example is provided to illustrate calculating the shortest path between nodes over multiple iterations of the algorithm.
The document discusses different types of selection and looping structures in C programming such as if-else statements, switch statements, while loops, for loops, and nested loops. It provides syntax examples and sample code to demonstrate if-else ladders, nested if statements, while, do-while and for loops. Examples include calculating grades based on marks, finding roots of quadratic equations, Fibonacci series, swapping values and reversing numbers.
Awk is a programming language used for processing structured data and generating reports. It allows manipulation of rows and columns in a file. Awk views a text file as records made up of fields, and can perform actions on certain records by using patterns and conditional statements. It supports variables, functions, and regular expressions. Syntax involves specifying an awk script or script file to apply to one or more input files.
The document discusses stacks and queues, which are common data structures that follow the Last In First Out (LIFO) and First In First Out (FIO) principles respectively. Stacks allow insertion and deletion of elements from one end only, while queues allow insertion from one end and deletion from the other end. Circular queues are better than linear queues as they make more efficient use of memory space by allowing insertion at the start when the end is reached. Multiple stacks and queues also allow managing multiple such data structures.
The document discusses different types of linked lists including:
- Singly linked lists that can only be traversed in one direction.
- Doubly linked lists that allow traversal in both directions using forward and backward pointers.
- Circular linked lists where the last node points back to the first node allowing continuous traversal.
- Header linked lists that include a header node at the beginning for simplified insertion and deletion. Header lists can be grounded where the last node contains a null pointer or circular where the last node points to the header.
- Two-way or doubly linked lists where each node contains a forward and backward pointer allowing bidirectional traversal through the list.
A visualization of a recursion problem posed in Think Like a Programmer (V. Anton Spraul) that illustrates the difference between head and tail recursion.
The document introduces a mysterious creature that nobody has confronted because they are too afraid. It asks if the reader is brave enough to help uncover how strong the creature is. The story then has a back-and-forth dialogue where one person insists they are brave enough to face certain death while confronting the creature, while choosing a goddess sword or crossbow as their weapon. They are told to practice with their weapon through the night to prepare for the encounter.
The document describes how to make a deep copy of a ListNode object in memory without copying its nested ReadThis object. It involves creating a new ListNode, a new ReadThis, copying the ReadThis's string and integer properties, and pointing the new ListNode's data to the new ReadThis. This results in an independent deep copy of the original ListNode.
References in C++ are essentially pointers that are easier to use. They allow passing objects to functions by reference without needing to explicitly declare pointer parameters or dereference pointers within the function. References are initialized to refer to an object and cannot be reassigned to refer to a different object, making them behave similar to the object itself rather than a separate pointer variable.
The document defines and demonstrates how pointers in C++ work. It declares an integer variable myInt and a pointer variable myPointer. It then makes myPointer point to myInt by using the address-of operator & on myInt. This allows myPointer to access the memory location and value of myInt. Another pointer variable anotherPointer is then defined and made to point to the same location as myPointer, demonstrating that multiple pointers can reference the same memory address.
The document describes the insertion sort algorithm sorting the array [15, 9, 9, 10, 12, 1, 11, 3, 9]. It works by taking each element from the unsorted part of the array and inserting it into the correct position in the sorted part. It iterates through the array, swapping elements if the current element is less than the element preceding it, until the subarray is sorted.
The document describes an algorithm to find the maximum value in an array. It initializes a current index and maximum value, then iterates through the array comparing each element to the maximum. Whenever a larger value is found, it updates the maximum. After iterating through the entire array, it outputs the final maximum value.
Thesis Proposal: Creating Satisfying Game Experiences with Coherent Emergent ...Gail Carmichael
The document proposes techniques for creating more coherent and satisfying emergent stories in open-world games. It suggests a design philosophy using a low ratio of "kernels" (the core plot) to "satellites" (supplementary story elements). An algorithm is described to prioritize optional scenes based on story progression and player history. Methods are outlined to insert common threads between scenes to enhance coherence. The document also presents a way to visualize a story's development through quantifiable elements like themes and characters. Future work is noted developing storytelling prototypes and authoring tools to test the techniques.
Interactive Storytelling in Games: Next StepsGail Carmichael
The document discusses interactive storytelling in games and some of the challenges of combining story and gameplay. It notes that stories are typically linear while games are non-linear, making it difficult to satisfy both. It proposes using a framework that arranges plot points dynamically based on player actions and quantifiable story elements to create a coherent emergent story with meaningful choices for the player. The goal is to find a balance between full player freedom and restricted choice.
Crafting satisfying narratives while preserving player freedom is a longstanding challenge for computer games. Many games use a quest structure, allowing players to experience content nonlinearly. However, this risks creating disjointed stories when side quests only minimally integrate with the main story. This talk introduces the problem of nonlinear storytelling in games and discusses our flexible, scene-based story system that reacts dynamically to the player’s actions.
Learn more at http://gailcarmichael.com/research/projects/emergentstories
The Big Question: What would it take to create the holodeck (in terms of storytelling)? Is it a technical or a creative breakthrough that we need?
(Videos are normally embedded, but are linked here instead.)
Understanding the Power of Augmented Reality for LearningGail Carmichael
What is it about augmented reality that makes it good for learning or even for general use? Learn more about this work here: http://gailcarmichael.com/research/projects/cognitivear
Global Context Descriptors for SURF and MSER Feature DescriptorsGail Carmichael
This document discusses adding global context descriptors to the SURF and MSER local feature descriptors to improve matching between images. For SURF features, nearby feature points are found and curvature values from a log-polar grid are appended to the original descriptor. For MSER features, shape, texture and curvature patches around the region are measured and appended. Preliminary matching results show the potential of global context descriptors to improve matching performance over the local descriptors alone. Future work includes exploring optimal neighboring region shapes and sizes.
Generative Artificial Intelligence (GenAI) in BusinessDr. Tathagat Varma
My talk for the Indian School of Business (ISB) Emerging Leaders Program Cohort 9. In this talk, I discussed key issues around adoption of GenAI in business - benefits, opportunities and limitations. I also discussed how my research on Theory of Cognitive Chasms helps address some of these issues
Special Meetup Edition - TDX Bengaluru Meetup #52.pptxshyamraj55
We’re bringing the TDX energy to our community with 2 power-packed sessions:
🛠️ Workshop: MuleSoft for Agentforce
Explore the new version of our hands-on workshop featuring the latest Topic Center and API Catalog updates.
📄 Talk: Power Up Document Processing
Dive into smart automation with MuleSoft IDP, NLP, and Einstein AI for intelligent document workflows.
HCL Nomad Web – Best Practices und Verwaltung von Multiuser-Umgebungenpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-nomad-web-best-practices-und-verwaltung-von-multiuser-umgebungen/
HCL Nomad Web wird als die nächste Generation des HCL Notes-Clients gefeiert und bietet zahlreiche Vorteile, wie die Beseitigung des Bedarfs an Paketierung, Verteilung und Installation. Nomad Web-Client-Updates werden “automatisch” im Hintergrund installiert, was den administrativen Aufwand im Vergleich zu traditionellen HCL Notes-Clients erheblich reduziert. Allerdings stellt die Fehlerbehebung in Nomad Web im Vergleich zum Notes-Client einzigartige Herausforderungen dar.
Begleiten Sie Christoph und Marc, während sie demonstrieren, wie der Fehlerbehebungsprozess in HCL Nomad Web vereinfacht werden kann, um eine reibungslose und effiziente Benutzererfahrung zu gewährleisten.
In diesem Webinar werden wir effektive Strategien zur Diagnose und Lösung häufiger Probleme in HCL Nomad Web untersuchen, einschließlich
- Zugriff auf die Konsole
- Auffinden und Interpretieren von Protokolldateien
- Zugriff auf den Datenordner im Cache des Browsers (unter Verwendung von OPFS)
- Verständnis der Unterschiede zwischen Einzel- und Mehrbenutzerszenarien
- Nutzung der Client Clocking-Funktion
Spark is a powerhouse for large datasets, but when it comes to smaller data workloads, its overhead can sometimes slow things down. What if you could achieve high performance and efficiency without the need for Spark?
At S&P Global Commodity Insights, having a complete view of global energy and commodities markets enables customers to make data-driven decisions with confidence and create long-term, sustainable value. 🌍
Explore delta-rs + CDC and how these open-source innovations power lightweight, high-performance data applications beyond Spark! 🚀
What is Model Context Protocol(MCP) - The new technology for communication bw...Vishnu Singh Chundawat
The MCP (Model Context Protocol) is a framework designed to manage context and interaction within complex systems. This SlideShare presentation will provide a detailed overview of the MCP Model, its applications, and how it plays a crucial role in improving communication and decision-making in distributed systems. We will explore the key concepts behind the protocol, including the importance of context, data management, and how this model enhances system adaptability and responsiveness. Ideal for software developers, system architects, and IT professionals, this presentation will offer valuable insights into how the MCP Model can streamline workflows, improve efficiency, and create more intuitive systems for a wide range of use cases.
#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.
Role of Data Annotation Services in AI-Powered ManufacturingAndrew Leo
From predictive maintenance to robotic automation, AI is driving the future of manufacturing. But without high-quality annotated data, even the smartest models fall short.
Discover how data annotation services are powering accuracy, safety, and efficiency in AI-driven manufacturing systems.
Precision in data labeling = Precision on the production floor.
Enhancing ICU Intelligence: How Our Functional Testing Enabled a Healthcare I...Impelsys Inc.
Impelsys provided a robust testing solution, leveraging a risk-based and requirement-mapped approach to validate ICU Connect and CritiXpert. A well-defined test suite was developed to assess data communication, clinical data collection, transformation, and visualization across integrated devices.
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
HCL Nomad Web – Best Practices and Managing Multiuser Environmentspanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-nomad-web-best-practices-and-managing-multiuser-environments/
HCL Nomad Web is heralded as the next generation of the HCL Notes client, offering numerous advantages such as eliminating the need for packaging, distribution, and installation. Nomad Web client upgrades will be installed “automatically” in the background. This significantly reduces the administrative footprint compared to traditional HCL Notes clients. However, troubleshooting issues in Nomad Web present unique challenges compared to the Notes client.
Join Christoph and Marc as they demonstrate how to simplify the troubleshooting process in HCL Nomad Web, ensuring a smoother and more efficient user experience.
In this webinar, we will explore effective strategies for diagnosing and resolving common problems in HCL Nomad Web, including
- Accessing the console
- Locating and interpreting log files
- Accessing the data folder within the browser’s cache (using OPFS)
- Understand the difference between single- and multi-user scenarios
- Utilizing Client Clocking
Andrew Marnell: Transforming Business Strategy Through Data-Driven InsightsAndrew Marnell
With expertise in data architecture, performance tracking, and revenue forecasting, Andrew Marnell plays a vital role in aligning business strategies with data insights. Andrew Marnell’s ability to lead cross-functional teams ensures businesses achieve sustainable growth and operational excellence.
AI Changes Everything – Talk at Cardiff Metropolitan University, 29th April 2...Alan Dix
Talk at the final event of Data Fusion Dynamics: A Collaborative UK-Saudi Initiative in Cybersecurity and Artificial Intelligence funded by the British Council UK-Saudi Challenge Fund 2024, Cardiff Metropolitan University, 29th April 2025
https://alandix.com/academic/talks/CMet2025-AI-Changes-Everything/
Is AI just another technology, or does it fundamentally change the way we live and think?
Every technology has a direct impact with micro-ethical consequences, some good, some bad. However more profound are the ways in which some technologies reshape the very fabric of society with macro-ethical impacts. The invention of the stirrup revolutionised mounted combat, but as a side effect gave rise to the feudal system, which still shapes politics today. The internal combustion engine offers personal freedom and creates pollution, but has also transformed the nature of urban planning and international trade. When we look at AI the micro-ethical issues, such as bias, are most obvious, but the macro-ethical challenges may be greater.
At a micro-ethical level AI has the potential to deepen social, ethnic and gender bias, issues I have warned about since the early 1990s! It is also being used increasingly on the battlefield. However, it also offers amazing opportunities in health and educations, as the recent Nobel prizes for the developers of AlphaFold illustrate. More radically, the need to encode ethics acts as a mirror to surface essential ethical problems and conflicts.
At the macro-ethical level, by the early 2000s digital technology had already begun to undermine sovereignty (e.g. gambling), market economics (through network effects and emergent monopolies), and the very meaning of money. Modern AI is the child of big data, big computation and ultimately big business, intensifying the inherent tendency of digital technology to concentrate power. AI is already unravelling the fundamentals of the social, political and economic world around us, but this is a world that needs radical reimagining to overcome the global environmental and human challenges that confront us. Our challenge is whether to let the threads fall as they may, or to use them to weave a better future.
Dev Dives: Automate and orchestrate your processes with UiPath MaestroUiPathCommunity
This session is designed to equip developers with the skills needed to build mission-critical, end-to-end processes that seamlessly orchestrate agents, people, and robots.
📕 Here's what you can expect:
- Modeling: Build end-to-end processes using BPMN.
- Implementing: Integrate agentic tasks, RPA, APIs, and advanced decisioning into processes.
- Operating: Control process instances with rewind, replay, pause, and stop functions.
- Monitoring: Use dashboards and embedded analytics for real-time insights into process instances.
This webinar is a must-attend for developers looking to enhance their agentic automation skills and orchestrate robust, mission-critical processes.
👨🏫 Speaker:
Andrei Vintila, Principal Product Manager @UiPath
This session streamed live on April 29, 2025, 16:00 CET.
Check out all our upcoming Dev Dives sessions at https://community.uipath.com/dev-dives-automation-developer-2025/.