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IO Interactive dice que el trabajo en el proyecto 007 va increíblemente bien y espera que sea el comienzo de una nueva trilogía de James Bond.

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Asesino profesional El desarrollador IO Interactive está trabajando en un videojuego de James Bond. Proyecto 007 Será la historia original del origen de Bond, lo que permitirá a los jugadores asumir el papel del espía legendario y obtener su doble estatus. El juego, que aún no tiene título oficial ni ventana de lanzamiento, se anunció por primera vez en 2020. Ahora, Io interactivo El presidente dio una actualización sobre el Proyecto 007 y dijo que el estudio espera que el juego de Bond sea el comienzo de una trilogía.

El trabajo en el Proyecto 007 va “fantásticamente”

en entrevista Con IGN, el CEO y copropietario de IO Interactive, Hakan Abrak, dijo que el desarrollo del Proyecto 007 va “sorprendentemente bien”, pero no proporcionó nuevos detalles. “No tengo una actualización hoy, pero créanme, también es interesante hablar aquí pronto”, dijo Abrak a IGN. “Así que estamos siguiendo nuestros planes. La producción va muy bien y hablaremos de ello pronto. Sé que fue un pequeño adelanto y no tenía mucha información, pero hay mucha información excelente. cosas que vienen.

Akrak dijo que dos décadas de hacer juegos de Hitman, donde los jugadores pueden realizar su “fantasía”, le han dado a IO la experiencia necesaria para hacer un juego de Hitman. James Bond juego. Si bien el proyecto 007 se basa en una IP popular, IO Interactive está trabajando en una historia completamente original con un nuevo James Bond, sin el beneficio de la imagen de ningún actor que haya usado el manto de 007 en el pasado.

“Así que no es un juego para la película. Ha despegado por completo y se ha convertido en una historia, y con suerte habrá una gran trilogía en el futuro”, dijo Abrak.

“E igual de importante y emocionante, es un nuevo Bond. Es un vínculo que hemos construido desde cero para los jugadores. Es muy emocionante con toda la tradición y toda la historia uniéndose para trabajar en esto junto a una familia para crear un vínculo joven para los jugadores; un vínculo que los jugadores puedan describir como especial” y crecer con ellos.

Una nueva historia de Bond

IO Interactive está trabajando con Metro-Goldwyn-Mayer y la productora cinematográfica Bond, Eon Productions, como desarrollador y editor del Proyecto 007. El icónico agente británico del MI6 de Ian Fleming tiene una rica historia en la industria, siendo GoldenEye de 1997 considerada una de las películas más emblemáticas. . Juegos influyentes de todos los tiempos. Sin embargo, Bond ha luchado recientemente por mantener su lugar en los videojuegos, incluso cuando las películas de Eon continúan teniendo éxito. Fue el último juego de James Bond. Activisión 007 Legends es un shooter en primera persona al estilo Call of Duty lanzado en 2012.

Sin embargo, IO tiene la intención de comenzar un nuevo capítulo en el juego de espionaje de beber martinis en lo que respecta a los videojuegos. “No quiero hablar demasiado sobre ello, pero sólo espero que hagamos algo que defina a James Bond en los videojuegos en los años venideros”, dijo Abrak.

El desarrollador danés aún no está listo para revelar completamente el juego y proporcionar detalles sobre su ventana de lanzamiento, y Abraak dijo que el estudio compartirá más actualizaciones en el “momento apropiado”.

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Annapurna Interactive está recibiendo un golpe con renuncias masivas, dejando a los socios en desorden

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Todos los empleados de Annapurna Interactive, la división de publicación de videojuegos del estudio Annapurna de Megan Ellison, dimitieron este mes tras una disputa con el propietario de la empresa.

Annapurna interactivo El presidente Nathan Gary y su equipo estaban negociando con Ellison, la hija del multimillonario Larry Ellison, para dividir la empresa. videojuego Se suponía que el departamento sería una entidad independiente. Cuando Ellison se retiró de las negociaciones, Gary y otros ejecutivos dimitieron, seguidos por unas dos docenas de empleados más.

“Los 25 miembros del equipo de Annapurna Interactive han renunciado colectivamente. Esta fue una de las decisiones más difíciles que hemos tenido que tomar y no tomamos esta acción a la ligera”, dijeron Gary y el grupo en una declaración conjunta.

Un portavoz del Annapurna confirmó que la empresa había considerado la posibilidad de crear una filial y afirmó que las partes no habían logrado llegar a un acuerdo, lo que provocó las dimisiones.

“Nuestra principal prioridad es continuar apoyando a nuestros socios desarrolladores y editores a través de esta transformación”, dijo Ellison en un comunicado a Bloomberg News. “Estamos comprometidos no solo con nuestra cartera de juegos existente sino también con expandir nuestra presencia en el espacio interactivo. Seguimos buscando oportunidades para adoptar un enfoque más integrado de la narración lineal e interactiva en el cine, la televisión, los juegos y el teatro.

La salida ha sumido al juego en el caos mientras los desarrolladores de juegos que se asociaron con Annapurna intentan descubrir qué significa esto para sus próximos proyectos. Como editor, Annapurna es responsable no sólo de financiar los juegos, sino también de gestionar servicios como el control de calidad, la adaptación de los productos a los mercados locales y el marketing. En los últimos días, los creadores de juegos que trabajan con Annapurna han luchado por encontrar nuevos puntos de contacto y ver si la compañía continuará cumpliendo sus acuerdos.

El portavoz añadió que todos los juegos y proyectos actuales permanecerán bajo la dirección del Annapurna.

El nuevo presidente, Héctor Sánchez, dijo a los desarrolladores que la compañía honraría los contratos existentes y reemplazaría a los empleados que se fueron, según las personas, que pidieron permanecer en el anonimato porque las conversaciones eran privadas. Sánchez, cofundador de Annapurna Interactive, regresó a la empresa el mes pasado.

La división de videojuegos de Annapurna se ha ganado la reputación de publicar títulos aclamados por la crítica de equipos pequeños, ganando premios con juegos como Outer Wilds, Stray y Cocoon. El mes pasado, Annapurna anunció una asociación con la compañía finlandesa de juegos Remedy Entertainment para llevar las aclamadas franquicias Control y Alan Wake al cine y la televisión.

The Hollywood Reporter dijo anteriormente que los altos ejecutivos de Annapurna Interactive habían dimitido, pero que todo el equipo no se había ido.

© 2024 Bloomberg LP

(Esta historia no ha sido editada por el personal de NDTV y se genera automáticamente a partir de un feed sindicado).

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YouTube gets more interactive on TVs with new update

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Last updated: March 14th, 2024 at 07:32 UTC+01:00

Google has announced that it is updating the YouTube app for TV platforms with a redesigned layout for accessing interactive content and information related to a video for offering a better user experience.

Currently, when you click on the title of a video, YouTube brings up a card showing the likes and views counts, upload date, channel information, description, and the comments section. The app lays the card over the video, which obstructs the viewing experience. That’s one of the reasons why people don’t access the card frequently or interact with videos. Well, Google wants to change that with the latest update.

Comparison Between Old And New Layouts Of YouTube App For TVs

With the new update, when you click on the title of a video, YouTube will shrink the video and show the card beside it, allowing you to watch the video without any obstruction. According to Google, it has made this change with feedback from users who say that they want to multitask while watching the content by being able to access the card (and interact with videos) while watching videos without any obstruction.

Google hasn’t revealed if the company is offering the latest change with an update to the app or with a server-side change. We are already seeing this change on our Toshiba M550LP TV with the Google TV operating system. It should also be live on other TVs, including Samsung TVs with Tizen OS and LG TVs with WebOS.

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Create interactive virtual worlds from text prompts using Genie 1.0

Create interactive virtual worlds from text prompts using Genie 1

Google has introduced Genie 1.0, an AI system that represents a significant advancement toward Artificial General Intelligence (AGI). Genie 1.0 is a generative interactive environment that can create a variety of virtual worlds from text descriptions, including synthetic images, photographs, and sketches. It operates on an unsupervised learning model trained on low-resolution internet videos, which are then upscaled. This system is considered a foundational world model, crucial for the development of AGI, due to its ability to generate action-controllable environments.

Google has made a striking advancement in the realm of artificial intelligence with the unveiling of Genie 1.0, a system that edges us closer to the elusive goal of Artificial General Intelligence (AGI). This new AI is capable of transforming simple text descriptions into interactive virtual environments, marking a significant stride in the evolution of AI technologies.

At the core of Genie 1.0’s functionality is the ability to bring written scenes to visual life. This goes beyond the typical AI that we’re accustomed to, which might recognize speech or offer movie recommendations. Genie 1.0 is designed to construct intricate virtual worlds, replete with images and sketches, all from the text provided by a user. It relies on an advanced form of machine learning known as unsupervised learning, which empowers it to identify patterns and make informed predictions without needing explicit instructions.

One of the most fascinating features of Genie 1.0 is its proficiency in learning from imperfect sources. It can take low-resolution videos from the internet, which are often grainy and unclear, and enhance them to a more refined 360p resolution. This showcases the AI’s ability to work with less-than-ideal data and still produce improved results.

Google Genie 1.0 another step closer to AGI?

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Understanding Artificial General Intelligence (AGI)

The driving force behind Genie 1.0 is a robust foundational world model, boasting an impressive 11 billion parameters. This model is a cornerstone for AGI development, as it facilitates the generation of dynamic and manipulable environments. Such environments are not just static but can be altered and interacted with, paving the way for a multitude of potential uses.

The versatility of Genie 1.0 is evident in its ability to process a wide array of inputs, suggesting that its future applications could go far beyond the creation of simple 2D environments. Although it currently functions at a rate of one frame per second, there is an expectation that its performance will improve over time. As Google continues to enhance Genie with future iterations, we can expect a broadening of its capabilities.

The practical uses for Genie 1.0 are vast and varied. In the field of robotics, for instance, combining Google’s robotics data with Genie could lead to the creation of more sophisticated AI systems. The gaming industry also stands to benefit greatly from Genie, as it has the potential to revolutionize game development, offering novel experiences and serving as a platform for training AI agents in simulated environments.

While Genie 1.0 promises to significantly influence creative endeavors by enabling the generation of unique content from minimal input, it’s important to remain mindful of the concerns that accompany advanced AI systems. Skepticism about AI is not uncommon, and as technologies like Genie continue to advance, they will undoubtedly spark further debate about their impact and the ethical considerations they raise.

Exploring Genie 1.0’s Advanced Capabilities

Google’s Genie 1.0 represents a pivotal development in the journey toward AGI. Its innovative method of creating interactive virtual worlds and its ability to learn from low-resolution data highlight the immense possibilities within AI. As we look to the future, the continued refinement and application of systems like Genie will undoubtedly play a crucial role in shaping the trajectory of both technology and society.

Artificial General Intelligence, or AGI, is a type of intelligence that mirrors human cognitive abilities, enabling machines to solve a wide range of problems and perform tasks across different domains. Unlike narrow AI, which is designed for specific tasks such as language translation or image recognition, AGI can understand, learn, and apply knowledge in an array of contexts, much like a human being. The development of AGI is a significant challenge in the field of artificial intelligence, as it requires a system to possess adaptability, reasoning, and problem-solving skills without being limited to a single function.

At the heart of Genie 1.0’s functionality lies its ability to interpret and visualize text descriptions, transforming them into detailed virtual environments. This process is driven by unsupervised learning, a machine learning technique that allows AI to recognize patterns and make decisions with minimal human intervention. Unsupervised learning is crucial for AGI, as it enables the system to handle data in a way that mimics human learning, where explicit instructions are not always provided.

Genie 1.0’s proficiency in enhancing low-resolution videos to a clearer 360p resolution demonstrates its capacity to improve upon imperfect data. This is a significant step forward, as it shows that AI can not only work with high-quality data but also refine and utilize information that is less than ideal, which is often the case in real-world scenarios.

The Potential and Challenges of Google Genie

The foundational world model that powers Genie 1.0, with its 11 billion parameters, is a testament to the complexity and potential of this AI system. The ability to generate dynamic environments that users can interact with opens up a world of possibilities for various industries. For example, in robotics, Genie 1.0 could be used to create more advanced simulations for training AI, while in gaming, it could lead to more immersive and responsive virtual worlds.

Despite its current limitation of processing one frame per second, the expectation is that Genie 1.0 will become faster and more efficient with time. This improvement will expand its applications and make it even more valuable across different sectors.

However, the advancement of AI technologies like Genie 1.0 also brings about ethical considerations. As AI systems become more capable, questions arise about their impact on privacy, employment, and decision-making. It is crucial to address these concerns proactively, ensuring that the development of AI benefits society while minimizing potential risks.

In summary, Google’s Genie 1.0 is a significant step towards achieving AGI, with its innovative approach to creating interactive virtual environments and learning from various data sources. As this technology continues to evolve, it will likely have a profound impact on multiple industries and raise important ethical questions that must be carefully considered.

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Google Genie AI creates interactive game worlds from images

Google Genie AI creates interactive game worlds from images

Imagine a world where the lines between reality and the digital realm blur, where you can step into a photograph and explore it as if it were a living, breathing environment. In the ever-evolving landscape of artificial intelligence, Google’s DeepMind has made a striking advancement with the creation of Genie, an AI that can generate an endless array of 2D worlds for gaming. This innovative tool is trained on a massive amount of gaming footage and uses a complex model with 11 billion parameters to understand and create new gaming environments.

Genie is not just another AI; it’s a sophisticated system that can interpret hidden actions within data, known as latent actions. This allows it to take simple images, even children’s drawings, and turn them into interactive, playable worlds. The implications of this technology are vast, with potential applications in robotics and the pursuit of artificial general intelligence.

What sets Genie apart is its use of unsupervised learning. Unlike traditional AI, which relies on clearly labeled data, Genie learns by identifying patterns and relationships on its own. This means it can process a wide range of internet videos to learn how to create games without being influenced by existing biases. This approach is key to providing a varied and engaging gaming experience.

Google Deepmind Genie world creator

Genie’s capabilities extend beyond learning. It can take images, sketches, and photos and transform them into virtual worlds that understand and replicate physical properties, such as depth. It can even learn to mimic behaviors from videos it has never seen before, showcasing its incredible adaptability.

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The AI’s performance is impressive. With minimal examples, Genie can replicate the gameplay of highly skilled players, a testament to its extensive parameters and the ability to scale with computational resources. Furthermore, Genie’s training includes robotics data, highlighting its potential in creating versatile AI agents.

As a foundational world model, Genie is at the forefront of AI systems that can generate and manage virtual environments. Its development marks a significant step forward in foundational world models and opens the door to more sophisticated AI applications in gaming, robotics, and beyond.

Google DeepMind’s Genie is a remarkable AI that does more than create games; it heralds a new era of artificial intelligence. Its capacity to produce an infinite number of playable 2D worlds from image prompts is a powerful demonstration of unsupervised learning’s capabilities. The progress of Genie is a clear indicator of the vast potential AI holds for transforming various industries and the exciting possibilities that lie ahead.

DeepMind’s Genie: A Leap in AI-Driven Game Creation

DeepMind’s Genie represents a significant leap in the field of artificial intelligence, particularly in the realm of game development. By harnessing the power of a neural network with 11 billion parameters, Genie can analyze and synthesize gaming environments with unprecedented complexity and variety. This neural network is a type of machine learning model designed to recognize patterns in large datasets, similar to the way the human brain operates. The sheer number of parameters indicates the model’s capacity to process and generate intricate details within the 2D worlds it creates, making each environment unique and engaging for players.

The technology behind Genie is not only about creating visually appealing worlds but also about understanding the underlying mechanics that make a game enjoyable and functional. By interpreting latent actions, which are the implicit decisions and movements within a game, Genie can construct playable worlds that respond to player interactions in a realistic and dynamic manner. This capability is crucial for developing games that are not only fun to look at but also offer a rich and interactive gaming experience.

Unsupervised Learning: The Engine Behind Genie’s Creativity

One of the most groundbreaking aspects of Genie is its reliance on unsupervised learning. This form of machine learning does not require labeled datasets, which are typically used to teach AI systems by providing examples with predefined outcomes. Instead, unsupervised learning algorithms identify patterns and relationships within the data on their own. This approach allows Genie to learn from a diverse array of internet videos, including gaming footage, without the need for explicit instructions or guidance. As a result, the AI can develop a broader understanding of game design principles and apply them in novel ways, free from the constraints of human bias.

The unsupervised learning approach is particularly advantageous for creating a wide variety of gaming experiences. Since Genie is not limited to a specific set of rules or styles, it can generate games that are not only unpredictable and original but also tailored to an extensive range of preferences and interests. This flexibility is key to keeping players engaged and ensuring that the gaming landscapes it creates are always fresh and exciting.

Implications for AI Development and Industry Applications

The development of Genie by Google DeepMind is more than just an advancement in gaming technology; it signifies a broader shift in the capabilities of AI systems. The ability to generate an endless array of 2D worlds from simple image prompts showcases the potential of AI to understand and recreate complex systems. This technology could have far-reaching implications beyond gaming, including advancements in robotics where AI agents need to navigate and interact with unpredictable environments.

Moreover, Genie’s proficiency in creating virtual worlds that accurately simulate physical properties and behaviors suggests that AI can achieve a higher level of understanding of the real world. This understanding is crucial for the development of artificial general intelligence (AGI), which aims to create AI systems that can perform any intellectual task that a human can. As foundational world models like Genie continue to evolve, they pave the way for more sophisticated AI applications that could revolutionize not only entertainment but also industries such as healthcare, transportation, and urban planning.

In summary, Google DeepMind’s Genie is a remarkable AI system that exemplifies the power of unsupervised learning and the potential for AI to innovate across various sectors. Its ability to create infinite, interactive gaming worlds from minimal input is a striking demonstration of the progress being made in artificial intelligence, and it hints at the transformative impact AI could have on our world in the years to come.

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How to Build an Interactive Dashboard in Excel with ChatGPT

This video tutorial skillfully unravels the complexities surrounding the realm of data analysis and the art of crafting interactive dashboards within Excel, all through the innovative application of ChatGPT. Designed to accommodate a broad spectrum of users, ranging from novices to seasoned experts in Excel and data analytics, this guide ensures that even the most advanced techniques of data manipulation become approachable and executable.

Embarking on this educational voyage, you’ll find yourself not just enhancing your analytical prowess but also acquiring a deep-seated understanding and practical knowledge necessary for constructing dynamic, insightful dashboards. These dashboards stand to revolutionize the way you approach data, offering new perspectives and elevating your ability to draw meaningful conclusions from complex information sets. Such skills are more than just an asset; they are essential tools that empower you to navigate and thrive in the modern, data-centric landscape, whether your focus is on advancing your professional career or enriching your personal projects with a data-driven approach.

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Microsoft Interactive AI Agent Foundation Model steps towards AGI

Microsoft Interactive AI Agent Foundation Model

In addition to OpenAI announcing it’s new focus on developing AI Agents. Microsoft has introduced an innovative AI Agent Foundation Model, which is seen as a significant step toward Artificial General Intelligence (AGI). This model is designed to incorporate various human-like cognitive abilities and skills, such as decision-making, perception, memory, motor skills, language processing, and communication. The model’s versatility is demonstrated across different domains, including robotics, gaming AI, and healthcare, showcasing its ability to generate contextually relevant outputs.

The advanced Microsoft AI Foundation model could be a significant stride toward the creation of Artificial General Intelligence (AGI). This new AI, known as the AI Agent Foundation Model, is designed to replicate human cognitive functions such as decision-making, perception, memory, language processing, and communication. It’s a substantial development for Microsoft, aiming to create AI systems that can operate across a wide array of tasks and sectors, including robotics, gaming AI, and healthcare.

At the heart of this new model is a training approach that allows the AI to learn from different domains, datasets, and tasks. This flexibility means the AI isn’t limited to one specific area but is robust enough to handle various challenges. The model combines sophisticated pre-trained methods, including image recognition techniques, text comprehension and generation, and the ability to predict future events.

Microsoft AI Agent Foundation Model

In real-world scenarios, the AI Agent Foundation Model has undergone testing in several fields. In robotics, it has shown more human-like movements through its advanced motor skills and perception. In the realm of gaming AI, it has led to more realistic and engaging gameplay by enhancing decision-making and action prediction. In healthcare, the model’s advanced data processing and communication abilities could potentially assist in diagnoses and treatment planning.

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Microsoft explains a little more about its Interactive Agent Foundation Model research paper :

“The development of artificial intelligence systems is transitioning from creating static, task-specific models to dynamic, agent-based systems capable of performing well in a wide range of applications. We propose an Interactive Agent Foundation Model that uses a novel multi-task agent training paradigm for training AI agents across a wide range of domains, datasets, and tasks. Our training paradigm unifies diverse pre-training strategies, including visual masked auto-encoders, language modeling, and next-action prediction, enabling a versatile and adaptable AI framework.

We demonstrate the performance of our framework across three separate domains — Robotics, Gaming AI, and Healthcare. Our model demonstrates its ability to generate meaningful and contextually relevant outputs in each area. The strength of our approach lies in its generality, leveraging a variety of data sources such as robotics sequences, gameplay data, large-scale video datasets, and textual information for effective multimodal and multi-task learning. Our approach provides a promising avenue for developing generalist, action-taking, multimodal systems.”

Multimodal AI Agents

What sets this model apart is its ability to learn from multiple modes and tasks. It uses data from different sources, such as robotic sequences, gameplay data, video databases, and textual content. This diverse learning environment improves the model’s understanding of the world and its interactions within it.

The scalability and adaptability of the AI Agent Foundation Model are also key features. Instead of relying on several specialized AI systems, this model can be fine-tuned to perform a variety of functions. This approach is more efficient than creating separate models for each specific task. Training the model involves the use of synthetic data, which can be generated by AI models like GPT-4. This approach is not only efficient but also addresses privacy concerns by reducing the reliance on sensitive or personal real-world data.

One of the most exciting prospects of the AI Agent Foundation Model is its ability to generalize learning across different domains. This generalization indicates that the model can apply its knowledge to new and unfamiliar tasks, suggesting a future where AI can seamlessly integrate into various industries, enhancing productivity and driving innovation.

Microsoft’s AI Agent Foundation Model research represents a significant advancement in the quest for AGI. Its innovative training methods, the integration of pre-trained strategies, and the focus on multitask and multimodal learning position it as a versatile and powerful tool for the future of AI in numerous fields.

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How to use the Relume AI website builder to build amazing interactive sites

How to use the Relume AI website builder

Website designers looking for a more effective way to create wireframes and final finishes websites might be interested in a new AI tool in the form of the Relume AI website builder. Whether you are experienced web designer or someone simply looking to build their first website or perhaps enhance the website you already have the Relume AI website design tool is deathly with more investigation.

Launched earlier this year AI tool allows you to quickly build a site map and wireframe in just minutes with the help of artificial intelligence and then export this to other online services such as Figma and Webflow. Enabling you to create client websites extremely quickly, saving you time on the mundane tasks, allowing you to concentrate on more of the finer details and bells and whistles of the website.

Figma website design tool workspace

Figma website design tool

If you’re not a website designer creating a website can be a complex task, but with the right tools and guidance, it can become a straightforward and enjoyable process, even without an advanced skill set. The Relume AI website builder is looking to transform the website building process using the Relum Library Site Builder. This overview guide provides more insight on how to use this AI-assisted website builder, from creating a new project to publishing your website online.

Creating a professional website with Relume AI website builder

The journey to a stunning website begins with constructing a well-thought-out sitemap. The Relume Library Site Builder excels in this aspect by providing an intuitive interface for editing the sitemap. Users can effortlessly move sections between pages, duplicate pages, and generate new versions, crafting a sitemap that perfectly aligns with their vision and requirements. This flexibility allows for a tailor-made structure, laying a solid foundation for the website.

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Transitioning to Wireframe

Once the sitemap is set, the next step is to bring it to life through wireframing. The wireframe view in the Relume Library Site Builder presents a list of each page in the sitemap along with a generated wireframe for each, using components from the Relume library. This feature is particularly beneficial as it provides a visual blueprint of the website, helping in better planning and layout design.

AI-Generated Content

A standout feature of the Relume AI website builder is its AI-driven content generation. For each section, the AI crafts copy based on the titles and descriptions provided. This function is a time-saver, especially for those who may struggle with content creation. Moreover, the layout of each section can be modified by swapping components, offering a range of choices to match the desired aesthetic and functional needs.

Flexibility and Customization

Customization is at the heart of the Relume Library Site Builder. Sections can be rearranged using keyboard arrows or by simple drag-and-drop actions. Adding new sections is a breeze with over 1,000 Relume components at your disposal, opening a world of possibilities to create a unique and user-engaging website. This level of customization ensures that the final product stands out and resonates with the intended audience.

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Collaboration and Exporting Options

Collaboration is key in website design, and the Relume AI website builder facilitates this through its shareable, view-only link for the wireframe. Additionally, for further editing and design enhancements, the wireframe can be exported into Figma using the Relume Library Figma plugin. This seamless integration allows for easy style updates and the use of components from the Figma kit, enhancing the design process.

Publishing your final website

The final step involves exporting the website to Webflow, which is made simple by the Relume Library. The exported wireframe is not only mobile responsive but also allows for global control of styling in Webflow. This ensures that the website is not only visually appealing but also functional and accessible across various devices. Once published, the website can be viewed in a browser, marking the culmination of a streamlined and efficient website building process.

The Relume Library Site Builder is a revolutionary tool that harnesses the power of AI to make website building more efficient and accessible. Its intuitive design, coupled with powerful AI capabilities, makes it an ideal choice for both seasoned designers and beginners. By following these steps, you can use the Relume AI website builder to create a professional, engaging, and responsive website that effectively meets your needs and goals.

Image Credit: Relume

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Adobe Primrose interactive clothes capable of changing patterns

Adobe Project Primrose interactive clothes

During  the Adobe Max 2023  conference and press event Adobe unveiled a number of unique project that is working on one of which is in the form of Project Primrose. a unique project that demonstrated how patterns can be changed on clothes. The groundbreaking innovations used in Project Primrose, have enabled Adobe to create  a digitally interactive dress that blurs the line between technology and fashion. This project, spearheaded by Christine Dierk, is a testament to the potential of flexible textile displays, turning clothes into creative canvases.

“Christine is a research scientist at Adobe, specializing in human-computer interaction (HCI) and contributing to hardware research initiatives. She received her Ph.D. in Computer Science from the University of California, Berkeley in 2020, where she was advised by Prof. Eric Paulos as part of the Hybrid Ecologies Lab. In 2014, she graduated from Elon University with a B.S. in Computer Science and Math.

One of the most exciting aspects of Project Primrose is the reconfigurable digital dress design. This means that the dress can change its pattern and design at the touch of a button. The dress is embedded with sensors that interact with the wearer and the environment, allowing for a truly dynamic and interactive fashion experience. This reconfigurability not only offers endless style possibilities but also reduces the need for multiple outfits, promoting sustainability in fashion.

Adobe Primrose interactive dress

The use of Adobe tools in fashion design is not new, but Project Primrose takes it to a whole new level. Adobe Firefly, After Effects, Stock, and Illustrator are used to create dynamic and interactive designs that can be displayed on the dress. These tools allow designers to create intricate patterns and animations, which can then be projected onto the fabric of the dress. This opens up a world of possibilities for designers, allowing them to experiment with different styles and designs without the need for physical materials.

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How does Project Primrose work?

Project Primrose is a unique concept that brings together the worlds of fashion and technology. The project, led by Christine Dierk, is a unique blend of creativity and innovation, offering infinite style possibilities. The interactive dress, capable of displaying content created with Adobe tools such as Firefly, After Effects, Stock, and Illustrator, is a testament to the potential of digital fashion design. Watch the video below to learn more about the  reflective light diffuser modules used in the project.

“Recent advances in smart materials have enabled displays to move beyond planar surfaces into the fabric of everyday life. We propose reflective light-diffuser modules for non-emissive flexible display systems. Our system leverages reflective-backed polymer-dispersed liquid crystal (PDLC), an electroactive material commonly used in smart window applications.

This low-power non-emissive material can be cut to any shape, and dynamically diffuses light. We present the design & fabrication of two exemplar artifacts, a canvas and a handbag, that use the reflective light-diffuser modules. We also describe our content authoring pipeline and interaction modalities. We hope this work inspires future designers of flexible displays.”

Reflective Light-Diffuser Modules

Project Primrose interactive dress

Animation of dress designs

The animation of dress designs is another fascinating feature of Project Primrose. Using Adobe After Effects, designers can create animations that can be displayed on the dress. This could range from subtle movements in the pattern to full-blown animated sequences. The ability to animate dress designs adds a new dimension to fashion, making it more engaging and interactive.

Embedded sensors for interaction

Project Primrose goes beyond just displaying digital designs. The dress is embedded with sensors that allow for interaction between the wearer and the dress. These sensors can detect movements and changes in the environment, allowing the dress to respond accordingly. This interaction adds a new level of personalization to fashion, as the dress can adapt to the wearer’s style and mood.

The future of dynamic and interactive fashion

Project Primrose is a glimpse into the future of dynamic and interactive fashion. The project demonstrates the potential of flexible textile displays and the use of digital tools in fashion design. As technology continues to evolve, we can expect to see more innovations like Project Primrose, where clothes become more than just a means of covering the body, but a canvas for creativity and personal expression. Project Primrose is a unique concept that is set to redefine the boundaries of fashion. By combining technology and fashion, it offers infinite style possibilities and a truly interactive experience. As we move forward, it will be exciting to see how this project influences the future of fashion design.

Filed Under: Design News, Top News





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How to use Interactive Widgets in iOS 17 on the iPhone

Interactive Widgets

This guide will show you how to set up Interactive Widgets on the iPhone, you will need to be running the latest iOS 17 to use this feature. Interactive widgets are a new feature in iOS 17 that allows you to interact with your widgets directly from the home screen. This can be a huge time-saver, as it eliminates the need to open the app associated with the widget.

To use interactive widgets:

  • Tap and hold anywhere on the home screen until the icons start to jiggle.
  • Tap the “+” button in the upper-left corner of the screen to add a widget.
  • Browse the list of available widgets and select the one you want to add.\
  • Choose the size of the widget and tap “Add Widget.”
  • Once the widget is added to your home screen, tap on it to interact with it.

Here are some examples of how to use interactive widgets:

  • Music widget: Play, pause, skip, and go back to previous tracks without opening the Music app. You can also use the widget to adjust the volume, create a new playlist, or shuffle your music library.
  • Podcasts widget: Play, pause, skip, and go back to previous episodes without opening the Podcasts app. You can also use the widget to subscribe to new podcasts, mark episodes as played, and delete episodes.
  • Reminders widget: Mark reminders as complete or incomplete, add new reminders and view upcoming reminders without opening the Reminders app. You can also use the widget to snooze or delete reminders.
  • Home widget: Control your smart home devices without opening the Home app. You can turn on and off lights, adjust the thermostat, lock and unlock doors, and more.
  • Calendar widget: Create new events, view upcoming events, and edit existing events without opening the Calendar app. You can also use the widget to switch between different calendar views and search for events.
  • Weather widget: View the current weather conditions, forecast, and air quality index without opening the Weather app. You can also use the widget to add locations to your favorites and view weather alerts.

Here are some additional tips for using interactive widgets:

  • To resize a widget, tap and hold on it until the quick actions menu appears. Then, tap “Edit Widget.”
  • To move a widget, tap and hold on it until it starts to jiggle. Then, drag it to the desired location.
  • To delete a widget, tap and hold on it until the quick actions menu appears. Then, tap “Remove Widget.”

You can also add interactive widgets to the lock screen in iOS 17. To do this, follow these steps:

  • Swipe to the leftmost lock screen page.
  • Tap the “Customize” button.
  • Tap the “+” button in the upper-right corner of the screen to add a widget.
  • Browse the list of available widgets and select the one you want to add.
  • Choose the size of the widget and tap “Add Widget.”

Once the widget is added to your lock screen, you can tap on it to interact with it.

You can use multiple widgets for the same app. For example, you could have a large music widget on your home screen that shows the album artwork and playback controls, and a smaller music widget on your lock screen that shows the song title and artist.

You can stack widgets on top of each other to save space on your home screen. To do this, drag one widget on top of another. You can then swipe up or down to view the different widgets in the stack.

You can customize the appearance of some interactive widgets. For example, you can change the color of the background or the font of the text. To do this, tap and hold on the widget and then tap “Edit Widget.”

Interactive widgets are a powerful new feature in iOS 17 that can help you save time and be more productive. By following the tips above, you can learn how to use interactive widgets to the fullest. We hope that you find this guide on how to use Interactive Widgets in iOS 17 helpful, if you have any comments, tips or questions, please leave a comment below and let us know. You can find out more details about all of the new iOS 17 features over at Apple’s website.

Filed Under: Apple, Apple iPhone, Guides





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