Bloodborne Complete Edition Guide (Hardcover) $45.50 (was $60) or $34.12 if eligible for 25% coupon See at Amazon The 744-page Bloodborne Complete Edition Guide is on sale for $45.50 at Amazon. Published last fall by Future Press, the official guidebook rarely is discounted by more than a few bucks. The 25% price cut is already a terrific deal, but shoppers in the Midwest and potentially elsewhere can score an additional 25% discount. With that factored in, you'll only pay $34.12--nearly 50% off the book's $60 MSRP. Click the coupon box under the price to get the extra discount at checkout. If you don't see a coupon box to click, the offer isn't available in your region.The Complete Edition is roughly 200 pages longer than the 2017 Collector's Edition Guide. This is because the Complete Edition also includes The Old Hunters expansion, which received its own 224-page physical guide in 2015. Along with everything you need to 100% the base game and DLC, the guide includes concept art, a deep dive into the lore of Yharnam, an interview with director Hidetaka Miyazaki, and a reference index for in-game lore.You could use some of the money you're saving to pick up Bloodborne's official art book, which is on sale for $32 (was $45) at Amazon. If you already own the art book, check out the upcoming Deluxe Edition of Bloodborne's first graphic novel for $25.Continue Reading at GameSpot

Wow. Where did June go? Well, it’s nearly over. Still, happy Pride to all of my comrades in the acronym. It sucks out there right now for us for sure. Perhaps you find yourself with a heavy and worried heart at the end of this historic month? I know

Urban populations are expected to double by 2050, which means around 2.5 billion people could be added to urban areas by the middle of the century, driving the need for more sustainable urban planning and public services. Cities across the globe are turning to digital twins and AI agents for urban planning scenario analysis and data-driven operational decisions. Building a digital twin of a city and testing smart city AI agents within it, however, is a complex and resource-intensive endeavor, fraught with technical and operational challenges. To address those challenges, NVIDIA today announced the NVIDIA Omniverse Blueprint for smart city AI, a reference framework that combines the NVIDIA Omniverse, Cosmos, NeMo and Metropolis platforms to bring the benefits of physical AI to entire cities and their critical infrastructure. Using the blueprint, developers can build simulation-ready, or SimReady, photorealistic digital twins of cities to build and test AI agents that can help monitor and optimize city operations. Leading companies including XXII, AVES Reality, Akila, Blyncsy, Bentley, Cesium, K2K, Linker Vision, Milestone Systems, Nebius, SNCF Gares&Connexions, Trimble and Younite AI are among the first to use the new blueprint. NVIDIA Omniverse Blueprint for Smart City AI  The NVIDIA Omniverse Blueprint for smart city AI provides the complete software stack needed to accelerate the development and testing of AI agents in physically accurate digital twins of cities. It includes: NVIDIA Omniverse to build physically accurate digital twins and run simulations at city scale. NVIDIA Cosmos to generate synthetic data at scale for post-training AI models. NVIDIA NeMo to curate high-quality data and use that data to train and fine-tune vision language models (VLMs) and large language models. NVIDIA Metropolis to build and deploy video analytics AI agents based on the NVIDIA AI Blueprint for video search and summarization (VSS), helping process vast amounts of video data and provide critical insights to optimize business processes. The blueprint workflow comprises three key steps. First, developers create a SimReady digital twin of locations and facilities using aerial, satellite or map data with Omniverse and Cosmos. Second, they can train and fine-tune AI models, like computer vision models and VLMs, using NVIDIA TAO and NeMo Curator to improve accuracy for vision AI use cases​. Finally, real-time AI agents powered by these customized models are deployed to alert, summarize and query camera and sensor data using the Metropolis VSS blueprint. NVIDIA Partner Ecosystem Powers Smart Cities Worldwide The blueprint for smart city AI enables a large ecosystem of partners to use a single workflow to build and activate digital twins for smart city use cases, tapping into a combination of NVIDIA’s technologies and their own. SNCF Gares&Connexions, which operates a network of 3,000 train stations across France and Monaco, has deployed a digital twin and AI agents to enable real-time operational monitoring, emergency response simulations and infrastructure upgrade planning. This helps each station analyze operational data such as energy and water use, and enables predictive maintenance capabilities, automated reporting and GDPR-compliant video analytics for incident detection and crowd management. Powered by Omniverse, Metropolis and solutions from ecosystem partners Akila and XXII, SNCF Gares&Connexions’ physical AI deployment at the Monaco-Monte-Carlo and Marseille stations has helped SNCF Gares&Connexions achieve a 100% on-time preventive maintenance completion rate, a 50% reduction in downtime and issue response time, and a 20% reduction in energy consumption. https://blogs.nvidia.com/wp-content/uploads/2025/06/01-Monaco-Akila.mp4 The city of Palermo in Sicily is using AI agents and digital twins from its partner K2K to improve public health and safety by helping city operators process and analyze footage from over 1,000 public video streams at a rate of nearly 50 billion pixels per second. Tapped by Sicily, K2K’s AI agents — built with the NVIDIA AI Blueprint for VSS and cloud solutions from Nebius — can interpret and act on video data to provide real-time alerts on public events. To accurately predict and resolve traffic incidents, K2K is generating synthetic data with Cosmos world foundation models to simulate different driving conditions. Then, K2K uses the data to fine-tune the VLMs powering the AI agents with NeMo Curator. These simulations enable K2K’s AI agents to create over 100,000 predictions per second. https://blogs.nvidia.com/wp-content/uploads/2025/06/02-K2K-Polermo-1600x900-1.mp4 Milestone Systems — in collaboration with NVIDIA and European cities — has launched Project Hafnia, an initiative to build an anonymized, ethically sourced video data platform for cities to develop and train AI models and applications while maintaining regulatory compliance. Using a combination of Cosmos and NeMo Curator on NVIDIA DGX Cloud and Nebius’ sovereign European cloud infrastructure, Project Hafnia scales up and enables European-compliant training and fine-tuning of video-centric AI models, including VLMs, for a variety of smart city use cases. The project’s initial rollout, taking place in Genoa, Italy, features one of the world’s first VLM models for intelligent transportation systems. https://blogs.nvidia.com/wp-content/uploads/2025/06/03-Milestone.mp4 Linker Vision was among the first to partner with NVIDIA to deploy smart city digital twins and AI agents for Kaohsiung City, Taiwan — powered by Omniverse, Cosmos and Metropolis. Linker Vision worked with AVES Reality, a digital twin company, to bring aerial imagery of cities and infrastructure into 3D geometry and ultimately into SimReady Omniverse digital twins. Linker Vision’s AI-powered application then built, trained and tested visual AI agents in a digital twin before deployment in the physical city. Now, it’s scaling to analyze 50,000 video streams in real time with generative AI to understand and narrate complex urban events like floods and traffic accidents. Linker Vision delivers timely insights to a dozen city departments through a single integrated AI-powered platform, breaking silos and reducing incident response times by up to 80%. https://blogs.nvidia.com/wp-content/uploads/2025/06/02-Linker-Vision-1280x680-1.mp4 Bentley Systems is joining the effort to bring physical AI to cities with the NVIDIA blueprint. Cesium, the open 3D geospatial platform, provides the foundation for visualizing, analyzing and managing infrastructure projects and ports digital twins to Omniverse. The company’s AI platform Blyncsy uses synthetic data generation and Metropolis to analyze road conditions and improve maintenance. Trimble, a global technology company that enables essential industries including construction, geospatial and transportation, is exploring ways to integrate components of the Omniverse blueprint into its reality capture workflows and Trimble Connect digital twin platform for surveying and mapping applications for smart cities. Younite AI, a developer of AI and 3D digital twin solutions, is adopting the blueprint to accelerate its development pipeline, enabling the company to quickly move from operational digital twins to large-scale urban simulations, improve synthetic data generation, integrate real-time IoT sensor data and deploy AI agents. Learn more about the NVIDIA Omniverse Blueprint for smart city AI by attending this GTC Paris session or watching the on-demand video after the event. Sign up to be notified when the blueprint is available. Watch the NVIDIA GTC Paris keynote from NVIDIA founder and CEO Jensen Huang at VivaTech, and explore GTC Paris sessions.

Telecom companies last year spent nearly $295 billion in capital expenditures and over $1 trillion in operating expenditures. These large expenses are due in part to laborious manual processes that telcos face when operating networks that require continuous optimizations. For example, telcos must constantly tune network parameters for tasks — such as transferring calls from one network to another or distributing network traffic across multiple servers — based on the time of day, user behavior, mobility and traffic type. These factors directly affect network performance, user experience and energy consumption. To automate these optimization processes and save costs for telcos across the globe, NVIDIA today unveiled at GTC Paris its first AI Blueprint for telco network configuration. At the blueprint’s core are customized large language models trained specifically on telco network data — as well as the full technical and operational architecture for turning the LLMs into an autonomous, goal-driven AI agent for telcos. Automate Network Configuration With the AI Blueprint NVIDIA AI Blueprints — available on build.nvidia.com — are customizable AI workflow examples. They include reference code, documentation and deployment tools that show enterprise developers how to deliver business value with NVIDIA NIM microservices. The AI Blueprint for telco network configuration — built with BubbleRAN 5G solutions and datasets — enables developers, network engineers and telecom providers to automatically optimize the configuration of network parameters using agentic AI. This can streamline operations, reduce costs and significantly improve service quality by embedding continuous learning and adaptability directly into network infrastructures. Traditionally, network configurations required manual intervention or followed rigid rules to adapt to dynamic network conditions. These approaches limited adaptability and increased operational complexities, costs and inefficiencies. The new blueprint helps shift telco operations from relying on static, rules-based systems to operations based on dynamic, AI-driven automation. It enables developers to build advanced, telco-specific AI agents that make real-time, intelligent decisions and autonomously balance trade-offs — such as network speed versus interference, or energy savings versus utilization — without human input. Powered and Deployed by Industry Leaders Trained on 5G data generated by BubbleRAN, and deployed on the BubbleRAN 5G O-RAN platform, the blueprint provides telcos with insight on how to set various parameters to reach performance goals, like achieving a certain bitrate while choosing an acceptable signal-to-noise ratio — a measure that impacts voice quality and thus user experience. With the new AI Blueprint, network engineers can confidently set initial parameter values and update them as demanded by continuous network changes. Norway-based Telenor Group, which serves over 200 million customers globally, is the first telco to integrate the AI Blueprint for telco network configuration as part of its initiative to deploy intelligent, autonomous networks that meet the performance and agility demands of 5G and beyond. “The blueprint is helping us address configuration challenges and enhance quality of service during network installation,” said Knut Fjellheim, chief technology innovation officer at Telenor Maritime. “Implementing it is part of our push toward network automation and follows the successful deployment of agentic AI for real-time network slicing in a private 5G maritime use case.” Industry Partners Deploy Other NVIDIA-Powered Autonomous Network Technologies The AI Blueprint for telco network configuration is just one of many announcements at NVIDIA GTC Paris showcasing how the telecom industry is using agentic AI to make autonomous networks a reality. Beyond the blueprint, leading telecom companies and solutions providers are tapping into NVIDIA accelerated computing, software and microservices to provide breakthrough innovations poised to vastly improve networks and communications services — accelerating the progress to autonomous networks and improving customer experiences. NTT DATA is powering its agentic platform for telcos with NVIDIA accelerated compute and the NVIDIA AI Enterprise software platform. Its first agentic use case is focused on network alarms management, where NVIDIA NIM microservices help automate and power observability, troubleshooting, anomaly detection and resolution with closed loop ticketing. Tata Consultancy Services is delivering agentic AI solutions for telcos built on NVIDIA DGX Cloud and using NVIDIA AI Enterprise to develop, fine-tune and integrate large telco models into AI agent workflows. These range from billing and revenue assurance, autonomous network management to hybrid edge-cloud distributed inference. For example, the company’s anomaly management agentic AI model includes real-time detection and resolution of network anomalies and service performance optimization. This increases business agility and improves operational efficiencies by up to 40% by eliminating human intensive toils, overheads and cross-departmental silos. Prodapt has introduced an autonomous operations workflow for networks, powered by NVIDIA AI Enterprise, that offers agentic AI capabilities to support autonomous telecom networks. AI agents can autonomously monitor networks, detect anomalies in real time, initiate diagnostics, analyze root causes of issues using historical data and correlation techniques, automatically execute corrective actions, and generate, enrich and assign incident tickets through integrated ticketing systems. Accenture announced its new portfolio of agentic AI solutions for telecommunications through its AI Refinery platform, built on NVIDIA AI Enterprise software and accelerated computing. The first available solution, the NOC Agentic App, boosts network operations center tasks by using a generative AI-driven, nonlinear agentic framework to automate processes such as incident and fault management, root cause analysis and configuration planning. Using the Llama 3.1 70B NVIDIA NIM microservice and the AI Refinery Distiller Framework, the NOC Agentic App orchestrates networks of intelligent agents for faster, more efficient decision-making. Infosys is announcing its agentic autonomous operations platform, called Infosys Smart Network Assurance (ISNA), designed to accelerate telecom operators’ journeys toward fully autonomous network operations. ISNA helps address long-standing operational challenges for telcos — such as limited automation and high average time to repair — with an integrated, AI-driven platform that reduces operational costs by up to 40% and shortens fault resolution times by up to 30%. NVIDIA NIM and NeMo microservices enhance the platform’s reasoning and hallucination-detection capabilities, reduce latency and increase accuracy. Get started with the new blueprint today. Learn more about the latest AI advancements for telecom and other industries at NVIDIA GTC Paris, running through Thursday, June 12, at VivaTech, including a keynote from NVIDIA founder and CEO Jensen Huang and a special address from Ronnie Vasishta, senior vice president of telecom at NVIDIA. Plus, hear from industry leaders in a panel session with Orange, Swisscom, Telenor and NVIDIA.

Everybody’s Golf: Hot Shots brings the fan-favorite franchise to modern consoles under one unified name after a nearly decade-long hiatus. Unfortunately, its simple three-button shot mechanics will arrive alongside some AI-generated junk. The game’

Windows users will dread the familiar sight of the Blue Screen of Death (BSOD) whenever they encounter an error. But after nearly 40 years, Microsoft will be retiring this infamous error message, or rather giving it a new color.The company has redesigned the error screen to what will soon be known as the Black Screen of Death. Compared to the current screen, which includes a frowning emoticon and sometimes a QR code, this black screen is more simplified, listing the stop code and faulty system driver.In an interview with The Verge, Microsoft's vice president of enterprise and OS security David Weston said, “This is really an attempt on clarity and providing better information and allowing us and customers to really get to what the core of the issue is so we can fix it faster. Part of it is just cleaner information on what exactly went wrong, where it’s Windows versus a component.”Continue Reading at GameSpot

For nearly a century, filmmakers have been questioning what happens when technology becomes so advanced and self-aware that the machines we invent turn against the humans who created them. Artificial intelligence is no longer just a science fiction c

06/15 — 2025 by abduzeedo Explore Palantis' sleek branding and visual identity for MP2E Solutions, showcasing thoughtful design and industry-specific color palettes. In the dynamic world of industrial design, a brand's visual identity must clearly communicate its expertise and innovation. Palantis, a branding, design, and strategy studio based in Nantes, recently tackled this challenge for MP2E Solutions. The result is a sleek, adaptable, and cohesive visual system that truly reflects the company's position and know-how. MP2E Solutions specializes in distributing Hauschild planetary mixers and equipment, acting as the exclusive distributor of these highly technical machines for nearly a decade. These Speed Mixer™ machines are renowned for their versatility, capable of mixing, pulverizing, and degassing, serving vital functions across the pharmaceutical, food, medical, and electronics sectors. To usher in a new era, MP2E Solutions commissioned Palantis to refresh its entire visual identity. The Hyphen: A Symbol of Solutions Palantis built the core of the new visual system around the hyphen in "MP2E-Solutions". This seemingly small detail carries significant weight, symbolizing the connection between "MP2E"—an acronym for Mélangeur Planétaire Emmanuelle Etiemble—and "Solutions," representing the company's comprehensive range of services, products, and client support. This thoughtful integration of the hyphen into the graphic language creates a strong and recognizable visual identity. The brand’s new visual identity extends beyond just the logo. Palantis developed a flexible system through the interplay of symbols and a carefully chosen color palette. Each color was intentionally selected to evoke the specific industries MP2E Solutions serves, strengthening the brand's presence within its diverse ecosystem. For example, a vibrant green might represent the pharmaceutical industry, while a deep blue could signify the electronics sector. This allows for endless variations while maintaining clear brand identification and visual consistency. A Cohesive Visual Language An integral part of this branding and visual identity overhaul included the development of a dedicated iconographic system. This system helps structure and clarify information across various communication channels, ensuring that MP2E Solutions' message is always clear and organized. From digital platforms to printed materials, the new design elements work in harmony. Palantis' work on MP2E Solutions is a testament to the power of meaningful design and transformative solutions. They believe in crafting tomorrow's story today, and this project exemplifies that philosophy. The refreshed branding not only accurately reflects MP2E Solutions' expertise but also sets them apart as a forward-thinking industrial leader. The meticulous attention to detail, from the symbolic hyphen to the industry-evoking color schemes, showcases Palantis' deep understanding of branding and visual identity. Their approach ensures that MP2E Solutions is well-positioned for its new era, with a visual language that speaks volumes about its commitment to building the future by mixing materials. Discover more of Palantis' inspiring work at www.palantis.fr. Branding and visual identity artifacts Tags branding

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

Start SlideshowStart SlideshowImage: The Pokémon Company, Arrowhead Game Studios, Blizzard, The Pokémon Company, Screenshot: Capcom / Samuel Moreno / Kotaku, Bethesda / Brandon Morgan / Kotaku, Nintendo, Bethesda / Brandon Morgan / Kotaku, Capcom / Samuel Moreno / KotakuYou know what we all need sometimes? A little advice. How do I plan for a future that’s so uncertain? Will AI take my job? If I go back to school and use AI to cheat, will I graduate and work for an AI boss? We can’t help you with any of that. But what we can do is provide some tips for Helldivers 2, Monster Hunter Wilds, Oblivion Remastered, and other great games. So, read on for that stuff, and maybe ask ChatGPT about those other things.Previous SlideNext SlideList slidesDon’t Rely On Ex Pokémon In Pokémon TCG Pocket AnymoreImage: The Pokémon CompanyDuring the initial months of Pokémon TCG Pocket, ex monsters dominated the competitive landscape. These monsters are (usually) stronger than their non-ex counterparts, and they can come with game-changing abilities that determine how your entire deck plays. In the past, players could create frustratingly fearsome decks consisting of two ex Pokémon supported by trainer and item cards. However, unless you pair together very specific ex Pokémon, you’ll now find yourself losing nearly every game you play. - Timothy Monbleau Read MorePrevious SlideNext SlideList slidesPlease, For The Love Of God, Defeat All Illuminate Stingrays In Helldivers 2Image: Arrowhead Game StudiosYou know what? Screw the Illuminate. I played round after round trying to get the Stingrays, also known as an Interloper, to spawn at least once, and those damn Overseers and Harvesters kept walking up and rocking me. In the end, I was victorious. A Stingray approached the airspace with reckless abandon, swooping in with practiced ease as it unloaded a barrage of molten death beams upon my head, and you know what happened? I died. A few times. But eventually, I managed to pop a shot off and I quickly discovered how to defeat Illuminate Stingrays in Helldivers 2. - Brandon Morgan Read MorePrevious SlideNext SlideList slidesDefeating Monster Hunter Wilds’ Demi Elder Dragon Might Be The Game’s Hardest Challenge So FarScreenshot: Capcom / Samuel Moreno / KotakuAlthough Zoh Shia is the thematic boss of Monster Hunter Wilds, other beasts can put up a tougher fight. Gore Magala (and especially its Tempered version) are easily in contention for being the most deadly enemies in the game. Not much is more threatening than their high mobility, powerful attacks, and unique Frenzy ailment that forms the basis for your Corrupted Mantle. - Samuel Moreno Read MorePrevious SlideNext SlideList slidesDon’t Forget To Play ‘The Shivering Isles’ Expansion In Oblivion RemasteredScreenshot: Bethesda / Brandon Morgan / KotakuWhether you’ve played the original Oblivion or not, chances are you’ve heard tales of the oddities awaiting you in the Shivering Isles. This expansion—the largest one for the open-world RPG—features a land of madness under the unyielding control of Sheogorath. It’s a beautiful world, yet so immensely wrong. But that’s why this DLC is one of the best in the franchise, so no matter how many hours you may have already put into the main story and the main world, you don’t want to miss this expansion. - Brandon Morgan Read MorePrevious SlideNext SlideList slidesHow Long Of A Ride Is Mario Kart World?Screenshot: NintendoThe Mario Kart franchise has been entertaining us all for decades—even with sibling fights and fits of rage over losing a race from a blue shell at the last second—but Mario Kart World is the first game to go open world. There hasn’t been a truly new entry in the series since 2014's Mario Kart 8, so being stoked to dive into this exciting adventure is perfectly reasonable. Equally reasonable, especially given the game’s controversial price tag, is to wonder how long it’ll take to beat and what type of replayability it offers. Let’s talk about it. - Billy Givens Read MorePrevious SlideNext SlideList slidesMario Kart World Players Are Exploiting Free Roam To Quickly Farm CoinsGif: Nintendo / FannaWuck / KotakuMario Kart World is full of cool stunts and lots of things to unlock, like new characters, costumes, and vehicles. The last of those requires accumulating a certain number of coins during your time with the Switch 2 exclusive, and while you could do that the normal way by just playing tons of races, you can also use the latest entry’s open world to farm coins faster or even while being completely AFK. - Ethan Gach Read MorePrevious SlideNext SlideList slidesOblivion Remastered’s Best Side Quest Is A World Within A WorldScreenshot: Bethesda / Brandon Morgan / KotakuIt’s been a long time since I kept a spreadsheet for a video game, or even notes beyond what I need for work. I had one for the original Oblivion run back in my school days. Back then, I knew where to find every side quest in the game. There were over 250. Still are, but now they’re enhanced, beautified for the modern gamer. One side quest retains its crown as the best, despite the game’s age. “A Brush With Death” is Oblivion Remastered’s best side quest by far, and here’s how to find and beat it! - Brandon Morgan Read MorePrevious SlideNext SlideList slidesDiablo IV: How To Power Level Your Way To Season 8's EndgameImage: BlizzardWhether you’re running a new build, trying out a new class, or returning to Diablo IV after an extended break, (a break in which you were likely playing Path of Exile 2, right? I know I wasn’t alone in farming Exalted Orbs!) Whatever the case, learning how to level up fast in Diablo IV should help you check out everything new this season, along with hitting endgame so that your friends don’t cruelly make fun of you! - Brandon Morgan Read MorePrevious SlideNext SlideList slidesThe 5 Strongest Non-Ex Pokémon To Use In Pokémon TCG PocketImage: The Pokémon CompanyIt’s official: ex Pokémon no longer rule unchallenged Pokémon TCG Pocket. While these powerful cards are still prevalent in the competitive landscape, the rise of ex-specific counters have made many of these monsters risky to bring. It’s never been more vital to find strong Pokémon that are unburdened by the ex label, but who should you use? - Timothy Monbleau Read MorePrevious SlideNext SlideList slidesSome Of The Coolest Monster Hunter Wilds Armor Can Be Yours If You Collect Enough CoinsScreenshot: Capcom / Samuel Moreno / KotakuIt goes without saying that Monster Hunter Wilds has a lot of equipment materials to keep track of. The Title 1 Update increased the amount with the likes of Mizutsune parts and the somewhat obscurely named Pinnacle Coins. While it’s easy to know what the monster parts can be used for, the same can’t be said for a coin. Making things more complicated is that the related equipment isn’t unlocked all at once. - Samuel Moreno Read More