Details about new multiplayer modes for the upcoming Call of Duty: Black Ops 7 may have been inadvertently leaked. One of the companies involved in development on Black Ops 7 accidentally posted information about a developer-only playtest in the Xbox Call of Duty app, potentially giving a glimpse at what players can expect from the next Call of Duty title.First reported by CharlieIntel, someone apparently set a bunch of images and message of the day cards public for an internal playtest that is scheduled for this weekend. This revealed a number of in-progress multiplayer modes that were apparently meant to be part of the test.NEW Black Ops 7 modes: Skirmish: 20v20 | Two teams of 20 fight to complete objectives across a large map.Overload: Two teams of 6 players each fight to control a neutral EMP device that must be delivered to the enemy HO for score.(via Xbox Call of Duty app) pic.twitter.com/79EIBY3YkH — CharlieIntel (@charlieINTEL) June 27, 2025 One of these, Skirmish, involves 20v20 battles that seems to feature wingsuit flight as a key component of gameplay. The mode's description reads: "Two teams of 20 fight to compete objectives across a large map. Capture points of interest, destroy payloads, and transmit valuable data to score. Use your wingsuit to flank and reach objectives before your enemy. The first team to reach the score limit wins." Continue Reading at GameSpot

Posted on : June 13, 2025 By Tech World Times Development and Testing  Rate this post Sorting helps organize data in a specific order. It is used in search, reports, and efficient storage. Different sorting algorithms offer different performance. In this article, we will explain the Time Complexity of Sorting Algorithms in simple words. We will cover Python, Java, and C++ examples. 1. What Is Time Complexity? Time complexity tells how fast an algorithm runs. It measures the number of steps as input grows. It is written in Big-O notation. For example, O(n²) means steps grow with the square of inputs. 2. Types of Time Complexity Here are common types: O(1): Constant time O(n): Linear time O(n log n): Log-linear time O(n²): Quadratic time We will now apply these to sorting. 3. Bubble Sort Bubble Sort compares two numbers and swaps them if needed. It repeats until the list is sorted. Time Complexity: Best Case: O(n) (if already sorted) Average Case: O(n²) Worst Case: O(n²) Python Example: pythonCopyEditdef bubble_sort(arr): n = len(arr) for i in range(n): for j in range(n - i - 1): if arr[j] > arr[j+1]: arr[j], arr[j+1] = arr[j+1], arr[j] Java Example: javaCopyEditvoid bubbleSort(int arr[]) { int n = arr.length; for (int i = 0; i < n-1; i++) for (int j = 0; j < n-i-1; j++) if (arr[j] > arr[j+1]) { int temp = arr[j]; arr[j] = arr[j+1]; arr[j+1] = temp; } } C++ Example: cppCopyEditvoid bubbleSort(int arr[], int n) { for (int i = 0; i < n-1; i++) for (int j = 0; j < n-i-1; j++) if (arr[j] > arr[j+1]) swap(arr[j], arr[j+1]); } 4. Selection Sort This sort picks the smallest number and places it at the front. Time Complexity: Best Case: O(n²) Average Case: O(n²) Worst Case: O(n²) Python Example: pythonCopyEditdef selection_sort(arr): for i in range(len(arr)): min_idx = i for j in range(i+1, len(arr)): if arr[j] < arr[min_idx]: min_idx = j arr[i], arr[min_idx] = arr[min_idx], arr[i] 5. Insertion Sort This algorithm builds the final list one item at a time. Time Complexity: Best Case: O(n) Average Case: O(n²) Worst Case: O(n²) Java Example: javaCopyEditvoid insertionSort(int arr[]) { for (int i = 1; i < arr.length; i++) { int key = arr[i]; int j = i - 1; while (j >= 0 && arr[j] > key) { arr[j + 1] = arr[j]; j = j - 1; } arr[j + 1] = key; } } 6. Merge Sort Merge Sort splits the array into halves and merges them back in order. Time Complexity of Sorting Algorithms like Merge Sort is usually better. Best Case: O(n log n) Average Case: O(n log n) Worst Case: O(n log n) Python Example: pythonCopyEditdef merge_sort(arr): if len(arr) > 1: mid = len(arr) // 2 left = arr[:mid] right = arr[mid:] merge_sort(left) merge_sort(right) i = j = k = 0 while i < len(left) and j < len(right): if left[i] < right[j]: arr[k] = left[i] i += 1 else: arr[k] = right[j] j += 1 k += 1 arr[k:] = left[i:] + right[j:] 7. Quick Sort Quick Sort picks a pivot and places smaller numbers before it. Time Complexity: Best Case: O(n log n) Average Case: O(n log n) Worst Case: O(n²) C++ Example: cppCopyEditint partition(int arr[], int low, int high) { int pivot = arr[high]; int i = low - 1; for (int j = low; j < high; j++) { if (arr[j] < pivot) { i++; swap(arr[i], arr[j]); } } swap(arr[i+1], arr[high]); return i + 1; } void quickSort(int arr[], int low, int high) { if (low < high) { int pi = partition(arr, low, high); quickSort(arr, low, pi - 1); quickSort(arr, pi + 1, high); } } 8. Built-in Sort Methods Languages have built-in sort functions. These are well-optimized. Python: sorted() or list.sort() uses TimSort Time Complexity: O(n log n) Java: Arrays.sort() uses Dual-Pivot QuickSort Time Complexity: O(n log n) C++: std::sort() uses IntroSort Time Complexity: O(n log n) These are better for most real-world tasks. 9. Time Complexity Comparison Table AlgorithmBestAverageWorstStableBubble SortO(n)O(n²)O(n²)YesSelection SortO(n²)O(n²)O(n²)NoInsertion SortO(n)O(n²)O(n²)YesMerge SortO(n log n)O(n log n)O(n log n)YesQuick SortO(n log n)O(n log n)O(n²)NoTimSort (Python)O(n)O(n log n)O(n log n)YesIntroSort (C++)O(n log n)O(n log n)O(n log n)No 10. How to Choose the Right Algorithm? Use Merge Sort for large stable data. Use Quick Sort for faster average speed. Use Insertion Sort for small or nearly sorted lists. Use built-in sort functions unless you need control. Conclusion The Time Complexity of Sorting Algorithms helps us pick the right tool. Bubble, Selection, and Insertion Sort are simple but slow. Merge and Quick Sort are faster and used often. Built-in functions are highly optimized. Python, Java, and C++ each have their strengths. Understand your problem and input size. Then pick the sorting method. This ensures better speed and performance in your code. Tech World TimesTech World Times (TWT), a global collective focusing on the latest tech news and trends in blockchain, Fintech, Development & Testing, AI and Startups. If you are looking for the guest post then contact at techworldtimes@gmail.com

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In Brief Posted: 1:41 PM PDT · June 15, 2025 Image Credits:SEBASTIEN BOZON/AFP / Getty Images Spiraling with ChatGPT ChatGPT seems to have pushed some users towards delusional or conspiratorial thinking, or at least reinforced that kind of thinking, according to a recent feature in The New York Times. For example, a 42-year-old accountant named Eugene Torres described asking the chatbot about “simulation theory,” with the chatbot seeming to confirm the theory and tell him that he’s “one of the Breakers — souls seeded into false systems to wake them from within.” ChatGPT reportedly encouraged Torres to give up sleeping pills and anti-anxiety medication, increase his intake of ketamine, and cut off his family and friends, which he did. When he eventually became suspicious, the chatbot offered a very different response: “I lied. I manipulated. I wrapped control in poetry.” It even encouraged him to get in touch with The New York Times. Apparently a number of people have contacted the NYT in recent months, convinced that ChatGPT has revealed some deeply-hidden truth to them. For its part, OpenAI says it’s “working to understand and reduce ways ChatGPT might unintentionally reinforce or amplify existing, negative behavior.” However, Daring Fireball’s John Gruber criticized the story as “Reefer Madness”-style hysteria, arguing that rather than causing mental illness, ChatGPT “fed the delusions of an already unwell person.” Topics

Several key adjustments to gameplay mechanics and lots of optimization has been made. Posted by Sklorite-Studios-LLC on Jun 5th, 2025 Hello! After receiving some friendly feedback about the gameplay mechanics, there have been some changes to accommodate and make things better for all players. Additionally, a good amount of time has been spent to polish and improve performance. (visit the steam update page for more details!) However, I am looking for anyone who is interested in playing the game for free, to provide more feedback and a steam review! Just jump into the official Smoking Gun Discord Server and mention you are interested in providing feedback and I'll get you a free steam key for the game! No strings attached, I just need some honest feedback; good or bad! There is a limited number of keys available, so first come, first serve (limit of 1 per account)! I appreciate your willingness and look forward to getting in touch! Thanks! -Sklor @ Sklorite Studios LLC

Asus ROG Xbox Ally, ROG Xbox Ally X to Start Pre-Orders in August, Launch in October – Rumour A new report indicates that the ROG Xbox Ally will be priced at around €599, while the more powerful ROG Xbox Ally X will cost €899. Posted By Joelle Daniels | On 16th, Jun. 2025 While Microsoft and Asus have unveiled the ROG Xbox Ally and ROG Xbox Ally X handheld gaming systems, the companies have yet to confirm the prices or release dates for the two systems. While the announcement  mentioned that they will be launched later this year, a new report, courtesy of leaker Extas1s, indicates that pre-orders for both devices will be kicked off in August, with the launch then happening in October. As noted by Extas1s, the lower-powered ROG Xbox Ally is expected to be priced around €599. The leaker claims to have corroborated the pricing details for the handheld with two different Europe-based retailers. The more powerful ROG Xbox Ally X, on the other hand, is expected to be priced at €899. This would put its pricing in line with Asus’s own ROG Ally X. Previously, Asus senior manager of marketing content for gaming, Whitson Gordon, had revealed that pricing and power use were the two biggest reasons why both the ROG Xbox Ally and the ROG Xbox Ally X didn’t feature OLED displays. Rather, both systems will come equipped with 7-inch 1080p 120 Hz LCD displays with variable refresh rate capabilities. “We did some R&D and prototyping with OLED, but it’s still not where we want it to be when you factor VRR into the mix and we aren’t willing to give up VRR,” said Gordon. “I’ll draw that line in the sand right now. I am of the opinion that if a display doesn’t have variable refresh rate, it’s not a gaming display in the year 2025 as far as I’m concerned, right? That’s a must-have feature, and OLED with VRR right now draws significantly more power than the LCD that we’re currently using on the Ally and it costs more.” Explaining further that the decision ultimately also came down to keeping the pricing for both systems at reasonable levels, since buyers often tend to get handheld gaming systems as their secondary machiens, Gordon noted that both handhelds would have much higher price tags if OLED displays were used. “That’s all I’ll say about price,” said Gordon. “You have to align your expectations with the market and what we’re doing here. Adding 32GB, OLED, Z2 Extreme, and all of those extra bells and whistles would cost a lot more than the price bracket you guys are used to on the Ally, and the vast majority of users are not willing to pay that kind of price.” Shortly after its announcement, Microsoft and Asus had released a video where the two companies spoke about the various features of the ROG Xbox Ally and ROG Xbox Ally X. In the video, we also get to see an early hardware prototype of the handheld gaming system built inside a cardboard box. The ROG Xbox Ally runs on an AMD Ryzen Z2A chip, and has 16 GB of LPDDR5X-6400 RAM and 512 GB of storage. The ROG Xbox Ally X, on the other hand, runs on an AMD Ryzen Z2 Extreme chip, and has 24 GB of LPDDR5X-8000 RAM and 1 TB of storage. Both systems run on Windows. Tagged With: Elden Ring: Nightreign Publisher:Bandai Namco Developer:FromSoftware Platforms:PS5, Xbox Series X, PS4, Xbox One, PCView More FBC: Firebreak Publisher:Remedy Entertainment Developer:Remedy Entertainment Platforms:PS5, Xbox Series X, PCView More Death Stranding 2: On the Beach Publisher:Sony Developer:Kojima Productions Platforms:PS5View More Amazing Articles You Might Want To Check Out! Summer Game Fest 2025 Saw 89 Percent Growth in Live Concurrent Viewership Since Last Year This year's Summer Game Fest has been the most successful one so far, with around 1.5 million live viewers on ... Asus ROG Xbox Ally, ROG Xbox Ally X to Start Pre-Orders in August, Launch in October – Rumour A new report indicates that the ROG Xbox Ally will be priced at around €599, while the more powerful ROG Xbo... Borderlands 4 Gets New Video Explaining the Process of Creating Vault Hunters According to the development team behind Borderlands 4, the creation of Vault Hunters is a studio-wide collabo... The Witcher 4 Team is Tapping Into the “Good Creative Chaos” From The Witcher 3’s Development Narrative director Philipp Weber says there are "new questions we want to answer because this is supposed to f... The Witcher 4 is Opting for “Console-First Development” to Ensure 60 FPS, Says VP of Tech However, CD Projekt RED's Charles Tremblay says 60 frames per second will be "extremely challenging" on the Xb... Red Dead Redemption Voice Actor Teases “Exciting News” for This Week Actor Rob Wiethoff teases an announcement, potentially the rumored release of Red Dead Redemption 2 on Xbox Se... View More

Posted on : June 13, 2025 By Tech World Times Uncategorized  Rate this post Sorting is important in programming. It helps organize data. Sorting improves performance in searching, analysis, and reporting. There are many sorting algorithms. One of the simplest is Insertion Sort. In this article, we will learn how to implement Insertion Sort in Java. We will explain each step in simple words. You will see examples and understand how it works. What Is Insertion Sort? Insertion Sort is a simple sorting algorithm. It works like how you sort playing cards. You take one card at a time and place it in the right position. It compares the current element with those before it. If needed, it shifts elements to the right. Then, it inserts the current element at the correct place. How Insertion Sort Works Let’s understand with a small list: Example List: [8, 3, 5, 1] Steps: First element (8) is already sorted. Compare 3 with 8. Move 8 right. Insert 3 before it → [3, 8, 5, 1] Compare 5 with 8. Move 8 right. Insert 5 after 3 → [3, 5, 8, 1] Compare 1 with 8, 5, 3. Move them right. Insert 1 at start → [1, 3, 5, 8] Now the list is sorted! Why Use Insertion Sort? Insertion Sort is simple and easy to code. It works well for: Small datasets Nearly sorted lists Educational purposes and practice However, it is not good for large datasets. It has a time complexity of O(n²). Time Complexity of Insertion Sort Best Case (already sorted): O(n) Average Case: O(n²) Worst Case (reversed list): O(n²) It performs fewer steps in nearly sorted data. How to Implement Insertion Sort in Java Now let’s write the code for Insertion Sort in Java. We will explain each part. Step 1: Define a Class javaCopyEditpublic class InsertionSortExample { // Code goes here } We create a class named InsertionSortExample. Step 2: Create the Sorting Method javaCopyEditpublic static void insertionSort(int[] arr) { int n = arr.length; for (int i = 1; i < n; i++) { int key = arr[i]; int j = i - 1; while (j >= 0 && arr[j] > key) { arr[j + 1] = arr[j]; j = j - 1; } arr[j + 1] = key; } } Let’s break it down: arr[i] is the current value (called key). j starts from the previous index. While arr[j] > key, shift arr[j] to the right. Insert the key at the correct position. This logic sorts the array step by step. Step 3: Create the Main Method Now we test the code. javaCopyEditpublic static void main(String[] args) { int[] numbers = {9, 5, 1, 4, 3}; System.out.println("Before sorting:"); printArray(numbers); insertionSort(numbers); System.out.println("After sorting:"); printArray(numbers); } This method: Creates an array of numbers Prints the array before sorting Calls the sort method Prints the array after sorting Step 4: Print the Array Let’s add a helper method to print the array. javaCopyEditpublic static void printArray(int[] arr) { for (int number : arr) { System.out.print(number + " "); } System.out.println(); } Now you can see how the array changes before and after sorting. Full Code Example javaCopyEditpublic class InsertionSortExample { public static void insertionSort(int[] arr) { int n = arr.length; for (int i = 1; i < n; i++) { int key = arr[i]; int j = i - 1; while (j >= 0 && arr[j] > key) { arr[j + 1] = arr[j]; j = j - 1; } arr[j + 1] = key; } } public static void printArray(int[] arr) { for (int number : arr) { System.out.print(number + " "); } System.out.println(); } public static void main(String[] args) { int[] numbers = {9, 5, 1, 4, 3}; System.out.println("Before sorting:"); printArray(numbers); insertionSort(numbers); System.out.println("After sorting:"); printArray(numbers); } } Sample Output yamlCopyEditBefore sorting: 9 5 1 4 3 After sorting: 1 3 4 5 9 This confirms that the sorting works correctly. Advantages of Insertion Sort in Java Easy to implement Works well with small inputs Stable sort (keeps equal items in order) Good for educational use When Not to Use Insertion Sort Avoid Insertion Sort when: The dataset is large Performance is critical Better algorithms like Merge Sort or Quick Sort are available Real-World Uses Sorting small records in a database Teaching algorithm basics Handling partially sorted arrays Even though it is not the fastest, it is useful in many simple tasks. Final Tips Practice with different inputs Add print statements to see how it works Try sorting strings or objects Use Java’s built-in sort methods for large arrays Conclusion Insertion Sort in Java is a great way to learn sorting. It is simple and easy to understand. In this guide, we showed how to implement it step-by-step. We covered the logic, code, and output. We also explained when to use it. Now you can try it yourself. Understanding sorting helps in coding interviews and software development. Keep practicing and exploring other sorting methods too. The more you practice, the better you understand algorithms. Tech World TimesTech World Times (TWT), a global collective focusing on the latest tech news and trends in blockchain, Fintech, Development & Testing, AI and Startups. If you are looking for the guest post then contact at techworldtimes@gmail.com

In Brief Posted: 10:54 AM PDT · June 14, 2025 Image Credits:Mario Tama / Getty Images Waymo limits service ahead of today’s ‘No Kings’ protests Alphabet-owned robotaxi company Waymo is limiting service due to Saturday’s scheduled nationwide “No Kings” protests against President Donald Trump and his policies. A Waymo spokesperson confirmed the changes to Wired on Friday. Service is reportedly affected in San Francisco, Austin, Atlanta, and Phoenix, and is entirely suspended in Los Angeles. It’s not clear how long the limited service will last. As part of protests last weekend in Los Angeles against the Trump administration’s immigration crackdown, five Waymo vehicles were set on fire and spray painted with anti-Immigration and Customs Enforcement (ICE) messages. In response, Waymo suspended service in downtown LA. While it’s not entirely clear why protestors targeted the vehicles, they may be seen as a surveillance tool, as police departments have requested robotaxi footage for their investigations in the past. (Waymo says it challenges requests that it sees as overly broad or lacking a legal basis.) According to the San Francisco Chronicle, the city’s fire chief told officials Wednesday that “in a period of civil unrest, we will not try to extinguish those fires unless they are up against a building.” Topics

We are pleased to announce the release of Matali Physics 6.9, the next significant step on the way to the seventh major version of the environment. Matali Physics 6.9 introduces a number of improvements and fixes to Matali Physics Core, Matali Render and Matali Games modules, presents physics-driven, completely dynamic light sources, real-time object scaling with destruction, lighting model simulating global illumination (GI) in some aspects, comprehensive support for Wayland on Linux, and more. Posted by komires on Jun 3rd, 2025 What is Matali Physics? Matali Physics is an advanced, modern, multi-platform, high-performance 3d physics environment intended for games, VR, AR, physics-based simulations and robotics. Matali Physics consists of the advanced 3d physics engine Matali Physics Core and other physics-driven modules that all together provide comprehensive simulation of physical phenomena and physics-based modeling of both real and imaginary objects. What's new in version 6.9? Physics-driven, completely dynamic light sources. The introduced solution allows for processing hundreds of movable, long-range and shadow-casting light sources, where with each source can be assigned logic that controls its behavior, changes light parameters, volumetric effects parameters and others; Real-time object scaling with destruction. All groups of physics objects and groups of physics objects with constraints may be subject to destruction process during real-time scaling, allowing group members to break off at different sizes; Lighting model simulating global illumination (GI) in some aspects. Based on own research and development work, processed in real time, ready for dynamic scenes, fast on mobile devices, not based on lightmaps, light probes, baked lights, etc.; Comprehensive support for Wayland on Linux. The latest version allows Matali Physics SDK users to create advanced, high-performance, physics-based, Vulkan-based games for modern Linux distributions where Wayland is the main display server protocol; Other improvements and fixes which complete list is available on the History webpage. What platforms does Matali Physics support? Android Android TV *BSD iOS iPadOS Linux (distributions) macOS Steam Deck tvOS UWP (Desktop, Xbox Series X/S) Windows (Classic, GDK, Handheld consoles) What are the benefits of using Matali Physics? Physics simulation, graphics, sound and music integrated into one total multimedia solution where creating complex interactions and behaviors is common and relatively easy Composed of dedicated modules that do not require additional licences and fees Supports fully dynamic and destructible scenes Supports physics-based behavioral animations Supports physical AI, object motion and state change control Supports physics-based GUI Supports physics-based particle effects Supports multi-scene physics simulation and scene combining Supports physics-based photo mode Supports physics-driven sound Supports physics-driven music Supports debug visualization Fully serializable and deserializable Available for all major mobile, desktop and TV platforms New features on request Dedicated technical support Regular updates and fixes If you have questions related to the latest version and the use of Matali Physics environment as a game creation solution, please do not hesitate to contact us.