Editor’s note: This blog is a part of Into the Omniverse, a series focused on how developers, 3D practitioners and enterprises can transform their workflows using the latest advances in OpenUSD and NVIDIA Omniverse. Simulated driving environments enable engineers to safely and efficiently train, test and validate autonomous vehicles (AVs) across countless real-world and edge-case scenarios without the risks and costs of physical testing. These simulated environments can be created through neural reconstruction of real-world data from AV fleets or generated with world foundation models (WFMs) — neural networks that understand physics and real-world properties. WFMs can be used to generate synthetic datasets for enhanced AV simulation. To help physical AI developers build such simulated environments, NVIDIA unveiled major advances in WFMs at the GTC Paris and CVPR conferences earlier this month. These new capabilities enhance NVIDIA Cosmos — a platform of generative WFMs, advanced tokenizers, guardrails and accelerated data processing tools. Key innovations like Cosmos Predict-2, the Cosmos Transfer-1 NVIDIA preview NIM microservice and Cosmos Reason are improving how AV developers generate synthetic data, build realistic simulated environments and validate safety systems at unprecedented scale. Universal Scene Description (OpenUSD), a unified data framework and standard for physical AI applications, enables seamless integration and interoperability of simulation assets across the development pipeline. OpenUSD standardization plays a critical role in ensuring 3D pipelines are built to scale. NVIDIA Omniverse, a platform of application programming interfaces, software development kits and services for building OpenUSD-based physical AI applications, enables simulations from WFMs and neural reconstruction at world scale. Leading AV organizations — including Foretellix, Mcity, Oxa, Parallel Domain, Plus AI and Uber — are among the first to adopt Cosmos models. Foundations for Scalable, Realistic Simulation Cosmos Predict-2, NVIDIA’s latest WFM, generates high-quality synthetic data by predicting future world states from multimodal inputs like text, images and video. This capability is critical for creating temporally consistent, realistic scenarios that accelerate training and validation of AVs and robots. In addition, Cosmos Transfer, a control model that adds variations in weather, lighting and terrain to existing scenarios, will soon be available to 150,000 developers on CARLA, a leading open-source AV simulator. This greatly expands the broad AV developer community’s access to advanced AI-powered simulation tools. Developers can start integrating synthetic data into their own pipelines using the NVIDIA Physical AI Dataset. The latest release includes 40,000 clips generated using Cosmos. Building on these foundations, the Omniverse Blueprint for AV simulation provides a standardized, API-driven workflow for constructing rich digital twins, replaying real-world sensor data and generating new ground-truth data for closed-loop testing. The blueprint taps into OpenUSD’s layer-stacking and composition arcs, which enable developers to collaborate asynchronously and modify scenes nondestructively. This helps create modular, reusable scenario variants to efficiently generate different weather conditions, traffic patterns and edge cases. Driving the Future of AV Safety To bolster the operational safety of AV systems, NVIDIA earlier this year introduced NVIDIA Halos — a comprehensive safety platform that integrates the company’s full automotive hardware and software stack with AI research focused on AV safety. The new Cosmos models — Cosmos Predict- 2, Cosmos Transfer- 1 NIM and Cosmos Reason — deliver further safety enhancements to the Halos platform, enabling developers to create diverse, controllable and realistic scenarios for training and validating AV systems. These models, trained on massive multimodal datasets including driving data, amplify the breadth and depth of simulation, allowing for robust scenario coverage — including rare and safety-critical events — while supporting post-training customization for specialized AV tasks. At CVPR, NVIDIA was recognized as an Autonomous Grand Challenge winner, highlighting its leadership in advancing end-to-end AV workflows. The challenge used OpenUSD’s robust metadata and interoperability to simulate sensor inputs and vehicle trajectories in semi-reactive environments, achieving state-of-the-art results in safety and compliance. Learn more about how developers are leveraging tools like CARLA, Cosmos, and Omniverse to advance AV simulation in this livestream replay: Hear NVIDIA Director of Autonomous Vehicle Research Marco Pavone on the NVIDIA AI Podcast share how digital twins and high-fidelity simulation are improving vehicle testing, accelerating development and reducing real-world risks. Get Plugged Into the World of OpenUSD Learn more about what’s next for AV simulation with OpenUSD by watching the replay of NVIDIA founder and CEO Jensen Huang’s GTC Paris keynote. Looking for more live opportunities to learn more about OpenUSD? Don’t miss sessions and labs happening at SIGGRAPH 2025, August 10–14. Discover why developers and 3D practitioners are using OpenUSD and learn how to optimize 3D workflows with the self-paced “Learn OpenUSD” curriculum for 3D developers and practitioners, available for free through the NVIDIA Deep Learning Institute. Explore the Alliance for OpenUSD forum and the AOUSD website. Stay up to date by subscribing to NVIDIA Omniverse news, joining the community and following NVIDIA Omniverse on Instagram, LinkedIn, Medium and X.

KDE isn't the only organization reaching out to " as Microsoft prepares to end support for Windows 10. "Now, The Document Foundation, maker of LibreOffice, has also joined in to support the Endof10 initiative," reports the tech blog Neowin: The foundation writes: "You don't have to follow Microsoft's upgrade path. There is a better option that puts control back in the hands of users, institutions, and public bodies: Linux and LibreOffice. Together, these two programmes offer a powerful, privacy-friendly and future-proof alternative to the Windows + Microsoft 365 ecosystem." It further adds the "real costs" of upgrading to Windows 11 as it writes: "The move to Windows 11 isn't just about security updates. It increases dependence on Microsoft through aggressive cloud integration, forcing users to adopt Microsoft accounts and services. It also leads to higher costs due to subscription and licensing models, and reduces control over how your computer works and how your data is managed. Furthermore, new hardware requirements will render millions of perfectly good PCs obsolete.... The end of Windows 10 does not mark the end of choice, but the beginning of a new era. If you are tired of mandatory updates, invasive changes, and being bound by the commercial choices of a single supplier, it is time for a change. Linux and LibreOffice are ready — 2025 is the right year to choose digital freedom!" The first words on LibreOffice's announcement? "The countdown has begun...." Read more of this story at Slashdot.

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

In this video, Louis du Mont (@ldm) shows how to animate objects using Geometry Node, unlocking quick control and variation which scales. ⇨ Robotic Planet: https://cgboost.link/robotic-planet-449836 ⇨ Project Files: https://www.cgboost.com/resources CHAPTERS 00:00 - Intro 00:33 - Joining Objects 04:01 - Ambient Ship Motion 09:04 - Ambient Laser Motion 11:06 - Disc Rotation 12:26 - Using Group Inputs 15:02 - Outro MY SYSTEM CPU: Ryzen 5900x GPU: GeForce RTX 3090 RAM: 96 GB FOLLOW CG BOOST ⇨ X: https://twitter.com/cgboost ⇨ Instagram: https://www.instagram.com/cg_boost/ ⇨ Web: https://cgboost.com/

Perhaps the oldest, most pernicious form of human bias is that of men toward women. It often started at the moment of birth. In ancient Athens, at a public ceremony called the amphidromia, fathers would inspect a newborn and decide whether it would be part of the family, or be cast away. One often socially acceptable reason for abandoning the baby: It was a girl. Female infanticide has been distressingly common in many societies — and its practice is not just ancient history. In 1990, the Nobel Prize-winning economist Amartya Sen looked at birth ratios in Asia, North Africa, and China and calculated that more than 100 million women were essentially “missing” — meaning that, based on the normal ratio of boys to girls at birth and the longevity of both genders, there was a huge missing number of girls who should have been born, but weren’t. Sen’s estimate came before the truly widespread adoption of ultrasound tests that could determine the sex of a fetus in utero — which actually made the problem worse, leading to a wave of sex-selective abortions. These were especially common in countries like India and China; the latter’s one-child policy and old biases made families desperate for their one child to be a boy. The Economist has estimated that since 1980 alone, there have been approximately 50 million fewer girls born worldwide than would naturally be expected, which almost certainly means that roughly that nearly all of those girls were aborted for no other reason than their sex. The preference for boys was a bias that killed in mass numbers.But in one of the most important social shifts of our time, that bias is changing. In a great cover story earlier this month, The Economist reported that the number of annual excess male births has fallen from a peak of 1.7 million in 2000 to around 200,000, which puts it back within the biologically standard birth ratio of 105 boys for every 100 girls. Countries that once had highly skewed sex ratios — like South Korea, which saw almost 116 boys born for every 100 girls in 1990 — now have normal or near-normal ratios. Altogether, The Economist estimated that the decline in sex preference at birth in the past 25 years has saved the equivalent of 7 million girls. That’s comparable to the number of lives saved by anti-smoking efforts in the US. So how, exactly, have we overcome a prejudice that seemed so embedded in human society?Success in school and the workplaceFor one, we have relaxed discrimination against girls and women in other ways — in school and in the workplace. With fewer limits, girls are outperforming boys in the classroom. In the most recent international PISA tests, considered the gold standard for evaluating student performance around the world, 15-year-old girls beat their male counterparts in reading in 79 out of 81 participating countries or economies, while the historic male advantage in math scores has fallen to single digits. Girls are also dominating in higher education, with 113 female students at that level for every 100 male students. While women continue to earn less than men, the gender pay gap has been shrinking, and in a number of urban areas in the US, young women have actually been outearning young men. Government policies have helped accelerate that shift, in part because they have come to recognize the serious social problems that eventually result from decades of anti-girl discrimination. In countries like South Korea and China, which have long had some of the most skewed gender ratios at birth, governments have cracked down on technologies that enable sex-selective abortion. In India, where female infanticide and neglect have been particularly horrific, slogans like “Save the Daughter, Educate the Daughter” have helped change opinions. A changing preferenceThe shift is being seen not just in birth sex ratios, but in opinion polls — and in the actions of would-be parents.Between 1983 and 2003, The Economist reported, the proportion of South Korean women who said it was “necessary” to have a son fell from 48 percent to 6 percent, while nearly half of women now say they want daughters. In Japan, the shift has gone even further — as far back as 2002, 75 percent of couples who wanted only one child said they hoped for a daughter.In the US, which allows sex selection for couples doing in-vitro fertilization, there is growing evidence that would-be parents prefer girls, as do potential adoptive parents. While in the past, parents who had a girl first were more likely to keep trying to have children in an effort to have a boy, the opposite is now true — couples who have a girl first are less likely to keep trying. A more equal futureThere’s still more progress to be made. In northwest of India, for instance, birth ratios that overly skew toward boys are still the norm. In regions of sub-Saharan Africa, birth sex ratios may be relatively normal, but post-birth discrimination in the form of poorer nutrition and worse medical care still lingers. And course, women around the world are still subject to unacceptable levels of violence and discrimination from men.And some of the reasons for this shift may not be as high-minded as we’d like to think. Boys around the world are struggling in the modern era. They increasingly underperform in education, are more likely to be involved in violent crime, and in general, are failing to launch into adulthood. In the US, 20 percent of American men between 25 and 34 still live with their parents, compared to 15 percent of similarly aged women. It also seems to be the case that at least some of the increasing preference for girls is rooted in sexist stereotypes. Parents around the world may now prefer girls partly because they see them as more likely to take care of them in their old age — meaning a different kind of bias against women, that they are more natural caretakers, may be paradoxically driving the decline in prejudice against girls at birth.But make no mistake — the decline of boy preference is a clear mark of social progress, one measured in millions of girls’ lives saved. And maybe one Father’s Day, not too long from now, we’ll reach the point where daughters and sons are simply children: equally loved and equally welcomed.A version of this story originally appeared in the Good News newsletter. Sign up here!See More:

There is no good without bad. It’s a cliché, but it’s true. How can you fully appreciate an exceptional work of art without comparing it to one that didn’t work? A truly awful movie puts a truly great masterpiece into perspective.So consider this piece a study in perspectives. No one who made any of the 20 movies below, our picks for the 20 worst movies of the last 20 years, set out to produce a bad movie. But it happened anyway, despite all their hard work and good intentions. Writing is hard. Casting is hard. Directing is hard. Movies are hard.(Okay, strike that. At least one filmmaker on the list reportedly exploited a tax loophole that meant investors only had to pay taxes on investments in films that turned a profit, leaving a financial incentive for a movie to flop. So maybe someone occasionally does set out to make a bad movie. Or at least, the movie’s quality is of far lesser concern than, say, sales to foreign distributors. But it’s rare.)If you’re thinking about using this list to help program your friends’ next Bad Movie Night, just keep in mind: Some of the films below are not so-bad-they’re-good. They’re just plain awful. (The tax loophole guy’s film, for example, that’s a real tough sit.) Proceed with caution and remember: There is no good without bad ... but sometimes it’s better to just watch a good movie instead of forcing the comparison.The 20 Worst Movies of the Last 20 Years (2005-2024)Movies can bring us to the highest highs and the lowest lows. These 20 films of the last 20 years are very much the latter.READ MORE: 25 Actors Who Turned Down Roles in Huge MoviesGet our free mobile appThe 20 Best Movies of the Last 20 Years (2005-2024)The 20 films of the last two decades that you absolutely need to see.Categories: Lists, Longform, Movie News, Special Features

Who knows where branding will go in the future? However, for many of us working in the creative industries, it's our job to know. So it's something we need to start talking about, and Frontify Futures wants to be the platform where that conversation unfolds. This ambitious new thought leadership initiative from Frontify brings together an extraordinary coalition of voices—CMOs who've scaled global brands, creative leaders reimagining possibilities, strategy directors pioneering new approaches, and cultural forecasters mapping emerging opportunities—to explore how effectiveness, innovation, and scale will shape tomorrow's brand-building landscape. But Frontify Futures isn't just another content platform. Excitingly, from a design perspective, it's also a living experiment in what brand identity can become when technology meets craft, when systems embrace chaos, and when the future itself becomes a design material. Endless variation What makes Frontify Futures' typography unique isn't just its custom foundation: it's how that foundation enables endless variation and evolution. This was primarily achieved, reveals developer and digital art director Daniel Powell, by building bespoke tools for the project. "Rather than rely solely on streamlined tools built for speed and production, we started building our own," he explains. "The first was a node-based design tool that takes our custom Frame and Hairline fonts as a base and uses them as the foundations for our type generator. With it, we can generate unique type variations for each content strand—each article, even—and create both static and animated type, exportable as video or rendered live in the browser." Each of these tools included what Daniel calls a "chaos element: a small but intentional glitch in the system. A microstatement about the nature of the future: that it can be anticipated but never fully known. It's our way of keeping gesture alive inside the system." One of the clearest examples of this is the colour palette generator. "It samples from a dynamic photo grid tied to a rotating colour wheel that completes one full revolution per year," Daniel explains. "But here's the twist: wind speed and direction in St. Gallen, Switzerland—Frontify's HQ—nudges the wheel unpredictably off-centre. It's a subtle, living mechanic; each article contains a log of the wind data in its code as a kind of Easter Egg." Another favourite of Daniel's—yet to be released—is an expanded version of Conway's Game of Life. "It's been running continuously for over a month now, evolving patterns used in one of the content strand headers," he reveals. "The designer becomes a kind of photographer, capturing moments from a petri dish of generative motion." Core Philosophy In developing this unique identity, two phrases stood out to Daniel as guiding lights from the outset. The first was, 'We will show, not tell.' "This became the foundation for how we approached the identity," recalls Daniel. "It had to feel like a playground: open, experimental, and fluid. Not overly precious or prescriptive. A system the Frontify team could truly own, shape, and evolve. A platform, not a final product. A foundation, just as the future is always built on the past." The second guiding phrase, pulled directly from Frontify's rebrand materials, felt like "a call to action," says Daniel. "'Gestural and geometric. Human and machine. Art and science.' It's a tension that feels especially relevant in the creative industries today. As technology accelerates, we ask ourselves: how do we still hold onto our craft? What does it mean to be expressive in an increasingly systemised world?" Stripped back and skeletal typography The identity that Daniel and his team created reflects these themes through typography that literally embodies the platform's core philosophy. It really started from this idea of the past being built upon the 'foundations' of the past," he explains. "At the time Frontify Futures was being created, Frontify itself was going through a rebrand. With that, they'd started using a new variable typeface called Cranny, a custom cut of Azurio by Narrow Type." Daniel's team took Cranny and "pushed it into a stripped-back and almost skeletal take". The result was Crany-Frame and Crany-Hairline. "These fonts then served as our base scaffolding," he continues. "They were never seen in design, but instead, we applied decoration them to produce new typefaces for each content strand, giving the identity the space to grow and allow new ideas and shapes to form." As Daniel saw it, the demands on the typeface were pretty simple. "It needed to set an atmosphere. We needed it needed to feel alive. We wanted it to be something shifting and repositioning. And so, while we have a bunch of static cuts of each base style, we rarely use them; the typefaces you see on the website and social only exist at the moment as a string of parameters to create a general style that we use to create live animating versions of the font generated on the fly." In addition to setting the atmosphere, it needed to be extremely flexible and feature live inputs, as a significant part of the branding is about the unpredictability of the future. "So Daniel's team built in those aforementioned "chaos moments where everything from user interaction to live windspeeds can affect the font." Design Process The process of creating the typefaces is a fascinating one. "We started by working with the custom cut of Azurio (Cranny) from Narrow Type. We then redrew it to take inspiration from how a frame and a hairline could be produced from this original cut. From there, we built a type generation tool that uses them as a base. "It's a custom node-based system that lets us really get in there and play with the overlays for everything from grid-sizing, shapes and timing for the animation," he outlines. "We used this tool to design the variants for different content strands. We weren't just designing letterforms; we were designing a comprehensive toolset that could evolve in tandem with the content. "That became a big part of the process: designing systems that designers could actually use, not just look at; again, it was a wider conversation and concept around the future and how designers and machines can work together." In short, the evolution of the typeface system reflects the platform's broader commitment to continuous growth and adaptation." The whole idea was to make something open enough to keep building on," Daniel stresses. "We've already got tools in place to generate new weights, shapes and animated variants, and the tool itself still has a ton of unused functionality. "I can see that growing as new content strands emerge; we'll keep adapting the type with them," he adds. "It's less about version numbers and more about ongoing movement. The system's alive; that's the point. A provocation for the industry In this context, the Frontify Futures identity represents more than smart visual branding; it's also a manifesto for how creative systems might evolve in an age of increasing automation and systematisation. By building unpredictability into their tools, embracing the tension between human craft and machine precision, and creating systems that grow and adapt rather than merely scale, Daniel and the Frontify team have created something that feels genuinely forward-looking. For creatives grappling with similar questions about the future of their craft, Frontify Futures offers both inspiration and practical demonstration. It shows how brands can remain human while embracing technological capability, how systems can be both consistent and surprising, and how the future itself can become a creative medium. This clever approach suggests that the future of branding lies not in choosing between human creativity and systematic efficiency but in finding new ways to make them work together, creating something neither could achieve alone.

8 Stunning Sunset Color Palettes Zoe Santoro •  In this article:See more ▼Post may contain affiliate links which give us commissions at no cost to you.There’s something absolutely magical about watching the sun dip below the horizon, painting the sky in breathtaking hues that seem almost too beautiful to be real. As a designer, I find myself constantly inspired by these natural masterpieces that unfold before us every evening. The way warm oranges melt into soft pinks, how deep purples blend seamlessly with golden yellows – it’s like nature’s own masterclass in color theory. If you’re looking to infuse your next project with the warmth, romance, and natural beauty of a perfect sunset, you’ve come to the right place. I’ve curated eight of the most captivating sunset color palettes that will bring that golden hour magic directly into your designs. 👋 Psst... Did you know you can get unlimited downloads of 59,000+ fonts and millions of other creative assets for just $16.95/mo? Learn more »The 8 Most Breathtaking Sunset Color Palettes 1. Golden Hour Glow #FFD700 #FF8C00 #FF6347 #CD5C5C Download this color palette 735×1102 Pinterest image 2160×3840 Vertical wallpaper 900×900 Square 3840×2160 4K Wallpaper This palette captures that perfect moment when everything seems to be touched by liquid gold. The warm yellows transition beautifully into rich oranges and soft coral reds, creating a sense of warmth and optimism that’s impossible to ignore. I find this combination works wonderfully for brands that want to evoke feelings of happiness, energy, and positivity. 2. Tropical Paradise #FF69B4 #FF1493 #FF8C00 #FFD700 Download this color palette 735×1102 Pinterest image 2160×3840 Vertical wallpaper 900×900 Square 3840×2160 4K Wallpaper Inspired by those incredible sunsets you see in tropical destinations, this vibrant palette combines hot pinks with brilliant oranges and golden yellows. It’s bold, it’s energetic, and it’s perfect for projects that need to make a statement. I love using these colors for summer campaigns or anything that needs to capture that vacation feeling. 3. Desert Dreams #CD853F #D2691E #B22222 #8B0000 Download this color palette 735×1102 Pinterest image 2160×3840 Vertical wallpaper 900×900 Square 3840×2160 4K Wallpaper Get 300+ Fonts for FREEEnter your email to download our 100% free "Font Lover's Bundle". For commercial & personal use. No royalties. No fees. No attribution. 100% free to use anywhere. The American Southwest produces some of the most spectacular sunsets on earth, and this palette pays homage to those incredible desert skies. The earthy browns blend into warm oranges before deepening into rich reds and burgundies. This combination brings a sense of grounding and authenticity that works beautifully for rustic or heritage brands. 4. Pastel Evening #FFE4E1 #FFA07A #F0E68C #DDA0DD Download this color palette 735×1102 Pinterest image 2160×3840 Vertical wallpaper 900×900 Square 3840×2160 4K Wallpaper Not every sunset needs to be bold and dramatic. This softer palette captures those gentle, dreamy evenings when the sky looks like it’s been painted with watercolors. The delicate pinks, peaches, and lavenders create a romantic, ethereal feeling that’s perfect for wedding designs, beauty brands, or any project that needs a touch of feminine elegance. 5. Coastal Sunset #fae991 #FF7F50 #FF6347 #4169E1 #1E90FF Download this color palette 735×1102 Pinterest image 2160×3840 Vertical wallpaper 900×900 Square 3840×2160 4K Wallpaper There’s something special about watching the sun set over the ocean, where warm oranges and corals meet the deep blues of the sea and sky. This palette captures that perfect contrast between warm and cool tones. I find it creates a sense of adventure and wanderlust that’s ideal for travel brands or outdoor companies. 6. Urban Twilight #ffeda3 #fdad52 #fc8a6e #575475 #111f2a Download this color palette 735×1102 Pinterest image 2160×3840 Vertical wallpaper 900×900 Square 3840×2160 4K Wallpaper As the sun sets behind city skylines, you get these incredible contrasts between deep purples and vibrant oranges. This sophisticated palette brings together the mystery of twilight with the warmth of the setting sun. It’s perfect for creating designs that feel both modern and dramatic. 7. Autumn Harvest #FF4500 #FF8C00 #DAA520 #8B4513 Download this color palette 735×1102 Pinterest image 2160×3840 Vertical wallpaper 900×900 Square 3840×2160 4K Wallpaper This palette captures those perfect fall evenings when the sunset seems to echo the changing leaves. The deep oranges and golden yellows create a cozy, inviting feeling that’s perfect for seasonal campaigns or brands that want to evoke comfort and tradition. 8. Fire Sky #652220 #DC143C #FF0000 #FF4500 #FF8C00 Download this color palette 735×1102 Pinterest image 2160×3840 Vertical wallpaper 900×900 Square 3840×2160 4K Wallpaper Sometimes nature puts on a show that’s so intense it takes your breath away. This bold, fiery palette captures those dramatic sunsets that look like the sky is literally on fire. It’s not for the faint of heart, but when you need maximum impact and energy, these colors deliver in spades. Why Sunset Colors Never Go Out of Style Before we explore how to use these palettes effectively, let’s talk about why sunset colors have such enduring appeal in design. There’s something deeply ingrained in human psychology that responds to these warm, glowing hues. They remind us of endings and beginnings, of peaceful moments and natural beauty. From a design perspective, sunset colors offer incredible versatility. They can be bold and energetic or soft and romantic. They work equally well for corporate branding and personal projects. And perhaps most importantly, they’re inherently optimistic – they make people feel good. I’ve found that incorporating sunset-inspired colors into modern projects adds an instant sense of warmth and approachability that resonates with audiences across all demographics. Whether you’re working on packaging design, web interfaces, or environmental graphics, these palettes can help create an emotional connection that goes beyond mere aesthetics. How to Master Sunset Palettes in Contemporary Design Using sunset colors effectively requires more than just picking pretty hues and hoping for the best. Here are some strategies I’ve developed for incorporating these palettes into modern design work: Start with Temperature Balance One of the most important aspects of working with sunset palettes is understanding color temperature. Most sunset combinations naturally include both warm and cool elements – the warm oranges and yellows of the sun itself, balanced by the cooler purples and blues of the surrounding sky. Maintaining this temperature balance keeps your designs from feeling flat or monotonous. Layer for Depth Real sunsets have incredible depth and dimension, with colors layering and blending into each other. Try to recreate this in your designs by using gradients, overlays, or layered elements rather than flat blocks of color. This approach creates visual interest and mimics the natural way these colors appear in nature. Consider Context and Contrast While sunset colors are beautiful, they need to work within the context of your overall design. Pay attention to readability – text needs sufficient contrast against sunset backgrounds. Consider using neutrals like deep charcoal or cream to provide breathing room and ensure your message remains clear. Embrace Gradual Transitions The magic of a sunset lies in how colors flow seamlessly from one to another. Incorporate this principle into your designs through smooth gradients, subtle color shifts, or elements that bridge between different hues in your palette. The Science Behind Our Sunset Obsession As someone who’s spent years studying color psychology, I’m fascinated by why sunset colors have such universal appeal. Research suggests that warm colors like those found in sunsets trigger positive emotional responses and can even increase feelings of comfort and security. There’s also the association factor – sunsets are linked in our minds with relaxation, beauty, and positive experiences. When we see these colors in design, we unconsciously associate them with those same positive feelings. This makes sunset palettes particularly effective for brands that want to create emotional connections with their audiences. The cyclical nature of sunsets also plays a role. They happen every day, marking the transition from activity to rest, from work to leisure. This gives sunset colors a sense of familiarity and comfort that few other color combinations can match. Applying Sunset Palettes Across Design Disciplines One of the things I love most about sunset color palettes is how adaptable they are across different types of design work: Brand Identity Design Sunset colors can help brands convey warmth, optimism, and approachability. I’ve used variations of these palettes for everything from artisanal food companies to wellness brands. The key is choosing the right intensity level for your brand’s personality – softer palettes for more refined brands, bolder combinations for companies that want to make a statement. Digital Design In web and app design, sunset colors can create interfaces that feel warm and inviting rather than cold and clinical. I often use these palettes for backgrounds, accent elements, or call-to-action buttons. The natural flow between colors makes them perfect for creating smooth user experiences that guide the eye naturally through content. Print and Packaging Sunset palettes really shine in print applications where you can take advantage of rich, saturated colors. They work beautifully for packaging design, particularly for products associated with warmth, comfort, or natural ingredients. The key is ensuring your color reproduction is accurate – sunset colors can look muddy if not handled properly in print. Environmental Design In spaces, sunset colors can create incredibly welcoming environments. I’ve seen these palettes used effectively in restaurants, retail spaces, and even corporate offices where the goal is to create a sense of warmth and community. Seasonal Considerations and Trending Applications While sunset colors are timeless, they do have natural seasonal associations that smart designers can leverage. The warmer, more intense sunset palettes work beautifully for fall and winter campaigns, while the softer, more pastel variations are perfect for spring and summer applications. I’ve noticed a growing trend toward using sunset palettes in unexpected contexts – tech companies embracing warm gradients, financial services using sunset colors to appear more approachable, and healthcare brands incorporating these hues to create more comforting environments. Conclusion: Bringing Natural Beauty Into Modern Design As we’ve explored these eight stunning sunset color palettes, I hope you’ve gained new appreciation for the incredible design potential that nature provides us every single day. These colors aren’t just beautiful – they’re powerful tools for creating emotional connections, conveying brand values, and making designs that truly resonate with people. The secret to successfully using sunset palettes lies in understanding both their emotional impact and their technical requirements. Don’t be afraid to experiment with different combinations and intensities, but always keep your audience and context in mind. Remember, the best sunset colors aren’t just about picking the prettiest hues – they’re about capturing the feeling of those magical moments when day transitions to night. Whether you’re creating a logo that needs to convey warmth and trust, designing a website that should feel welcoming and approachable, or developing packaging that needs to stand out on crowded shelves, these sunset-inspired palettes offer endless possibilities. So the next time you catch yourself stopped in your tracks by a particularly stunning sunset, take a moment to really study those colors. Notice how they blend and flow, how they make you feel, and how they change as the light shifts. Then bring that natural magic into your next design project. After all, if nature can create such breathtaking color combinations every single day, imagine what we can achieve when we learn from the master. Happy designing! Zoe Santoro Zoe is an art student and graphic designer with a passion for creativity and adventure. Whether she’s sketching in a cozy café or capturing inspiration from vibrant cityscapes, she finds beauty in every corner of the world. With a love for bold colors, clean design, and storytelling through visuals, Zoe blends her artistic skills with her wanderlust to create stunning, travel-inspired designs. Follow her journey as she explores new places, discovers fresh inspiration, and shares her creative process along the way. 10 Warm Color Palettes That’ll Brighten Your DayThere’s nothing quite like the embracing quality of warm colors to make a design feel inviting and alive. As someone...These 1920s Color Palettes are ‘Greater than Gatsby’There’s something undeniably captivating about the color schemes of the Roaring Twenties. As a designer with a passion for historical...How Fonts Influence Tone and Clarity in Animated VideosAudiences interact differently with messages based on which fonts designers choose to use within a text presentation. Fonts shape how...

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

The option to generate an Audio Overview appears beneath the “People also ask” module. Google is rolling out a test that puts its AI-powered Audio Overviews on the first page of search results on mobile. The experiment, which you can enable in Labs, will let you generate an AI podcast-style discussion for certain queries. If you search for something like, “How do noise cancellation headphones work?”, Google will display a button beneath the “People also ask” module that says, “Generate Audio Overview.” Once you click the button, it will take up to 40 seconds to generate an Audio Overview, according to Google. The completed Audio Overview will appear in a small player embedded within your search results, where you can play, pause, mute, and adjust the playback speed of the clip. Similar to Audio Overviews on NotebookLM and Gemini, this one also features two AI-generated “hosts” who enthusiastically discuss the topic you want to learn more about. You’ll also find links to some of the sources used by Audio Overview directly below the playback bar in Search. Right now, Audio Overviews in Search is only available in English in the US. Google has started putting Audio Overviews in more places since the tool launched last year, allowing users to generate audio discussions based on notes, Gemini’s deep research, files in Google Docs, and more.