Tag: image

La nueva aplicación Apple Image Playground en iOS 18 etiquetará las fotos creadas por IA

Post author By lisa nichols
Post date June 16, 2024
No Comments on La nueva aplicación Apple Image Playground en iOS 18 etiquetará las fotos creadas por IA

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en Conferencia mundial de desarrolladores 2024 A principios de esta semana, manzana Anunció una gran cantidad de funciones de inteligencia artificial que llegarán a sus diversas plataformas de software, incluido su generador de imágenes artísticas AI Image Playground. iOS 18 – Ahora tenemos más información sobre cómo funciona la aplicación.

Como se informó 9to5MacEl vicepresidente de ingeniería de software de Apple, Craig Federighi, dijo en una entrevista durante WWDC iOS 18 creará un “código de metadatos” para que los archivos de imágenes incluyan detalles que muestren si fueron creados o no por inteligencia artificial.

Si bien la versión beta actual de iOS 18 no incluye ninguna de las próximas funciones de IA, por lo que no hay Image Playground, algunas investigaciones en el código beta realizadas por el equipo de 9to5Mac han encontrado referencias a “análisis forense” de imágenes que identificarían archivos creados por inteligencia artificial. .

En conjunto, está claro que Apple ha estado pensando en cómo fomentar el uso responsable de la IA, que es lo que Apple defiende. inteligencia de manzana En sus propios dispositivos y cómo evitar que fotos falsas se hagan pasar por reales.

Arte de Apple e inteligencia artificial

Aplicación de juegos fotográficos

Image Playground podrá crear arte con IA bajo demanda (Crédito de la imagen: Apple)

de Lo que sabemos Acerca de Image Playground De hecho, la aplicación aparecerá en diferentes lugares, como mensajes o notas, cuando necesites crear una nueva imagen impulsada por IA. Podría ser un emoji personalizado, por ejemplo, o una foto de un amigo de tu elección para la configuración.

Las imágenes creadas con Image Playground adoptarán el estilo de dibujos animados e ilustraciones en lugar de fotografías, por lo que esta es una forma en que Apple protege contra el abuso de estas herramientas. Si no está seguro de qué crear, también se incluyen sugerencias rápidas.

Estos modelos de IA se entrenan con “datos autorizados” y “datos disponibles públicamente” tomados de la web. manzana dice. En otras palabras, si su obra de arte está disponible en línea, es probable que haya sido capacitada por Apple Intelligence, a menos que el sitio en el que se publicó haya optado por no participar en el proceso.

Las capacidades de Image Playground estarán disponibles en una futura versión beta, según Apple, pero solo entre los iPhone disponibles actualmente. iPhone 15 Pro Y iPhone 15 Pro Max Él tendrá el poder para operarlo. Las funciones de creación de obras de arte con IA también estarán disponibles en Apple Silicon Macs.

Image Playground lleva fotos con IA a iMessage y más

Post author By miranda cosgrove
Post date June 14, 2024
No Comments on Image Playground lleva fotos con IA a iMessage y más

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En iOS 18, podrás usar… El poder de la inteligencia de Apple Para crear imágenes divertidas y relevantes en tus conversaciones de mensajería. Puedes crear nuevos emojis y obras de arte personalizadas.

Apple llama a las funciones Genmoji e Image Playground. “Image Playground hará que las conversaciones cotidianas sean mucho más divertidas”, afirmó Cyrus Irani, director de interfaz humana de Apple.

Con la aplicación Fotos, puedes buscar más fácilmente en tu contenido de fotos y videos, y crear videos personalizados sin robar manualmente tu biblioteca.

Crea fotos AI en iMessage en iOS 18

Crea un Genmoji personalizado de un T-rex montando una tabla de surf en mensajes — Crea Genmoji personalizado directamente desde los mensajes.
Imagen: manzana

Con el poder de Apple Intelligence, un apodo para las nuevas funciones basadas en aprendizaje automático de Apple que se ejecutan en el dispositivo y en la nube privada de Apple, puedes crear imágenes en Mensajes mientras viajas.

Eso comienza con Genmoji. Desde el teclado, puedes crear un nuevo emoji cuando no encuentres el correcto integrado. ¿Sin emoji de avestruz? ¿Sin emoji de trombón? Ningún problema. Haz el tuyo propio y envíalo contigo. Puedes describir lo que quieres y elegir entre varias opciones diferentes.

Apple Intelligence se centra en funciones personalizadas de IA. Puedes crear un Genmoji que se parezca a las personas con las que estás hablando. “Como Apple Intelligence sabe quién está en tu biblioteca de fotos, puedes simplemente seleccionar a alguien y crear un Genmoji que se parezca a esa persona”. Deséale a alguien un feliz cumpleaños y podrás crear un avatar de dibujos animados específicamente para esa persona.

Genmoji se puede enviar como una pegatina, un Tapback a un mensaje o dentro de su propio mensaje.

Image Playground creará imágenes y obras de arte

El patio de recreo de las imágenes en los mensajes — Crea obras de arte personalizadas con Image Playground.
Imagen: manzana

Image Playground facilita la creación de imágenes. Como dice específicamente Irani: “No es necesario diseñar el enrutador perfecto”.

Elija entre una amplia variedad de conceptos conceptuales, como géneros (fantasía, discoteca, ciencia ficción), disfraces (astronauta, realeza, superhéroes), accesorios (corona de flores, casco, gafas de sol), ubicaciones (ciudad, escenario, desierto). y más. Puede elegir entre tres estilos artísticos diferentes: renderizado 3D, dibujo 2D o ilustración. También puedes escribir una descripción si tienes algo específico en mente.

Como todo sucede en el dispositivo, puedes crear tantas imágenes como quieras. Podrás obtener una vista previa de los resultados en tan solo unos segundos.

Image Playground está disponible directamente en Mensajes, Keynote, Pages, Freeform y su propia aplicación independiente. Existe una API Image Playground para que desarrolladores externos incorporen esta función en sus propias aplicaciones.

Image Wand coloca un diagrama contextual en sus notas y dibujos

Pegar imagen en notas — Image Wand para crear un dibujo personalizado en Notas.
Imagen: manzana

Image Wand es una nueva función disponible en Notas y otras aplicaciones que utilizan la paleta de herramientas de dibujo de Apple. Según Sebastian Marinho-Mays, vicepresidente de Ingeniería de Experiencia de Sistemas Inteligentes de Apple, “Image Wand puede convertir un boceto en una imagen pulida que complementa tus notas y las hace más legibles”.

Puedes rodear cualquier dibujo en tu nota para convertirlo en una imagen más atractiva. Analiza tu dibujo y descripción para convertirlo en un dibujo pulido. Circulalo Vacío área, y analizará Océano Notas para crear una imagen contextual desde cero.

Edita y busca tus fotos automáticamente

Crea una película de recuerdos dentro de las fotos. — Cree una película de recuerdos a partir de un mensaje utilizando Apple Intelligence.
Imagen: manzana

La nueva herramienta de limpieza en fotografías “identificará los objetos que distraen en el fondo para poder hacerlos desaparecer”, explicó Marinho Mes. Es una nueva herramienta a la que puede acceder simplemente haciendo clic en el botón Editar en las fotos, junto con herramientas de recorte, ojos rojos y otras herramientas fotográficas.

Buscar tus fotos y videos ahora también es más fácil. Podrás realizar búsquedas en lenguaje natural a través del contenido de tu biblioteca de fotos y vídeos. Incluso analiza el contenido de tus videos, para que puedas encontrar el video en el que alguien da una patada enfermiza en su patineta mientras usa una camiseta teñida.

Crear películas de recuerdos también es más fácil. Si bien antes tenías que revisar manualmente tu biblioteca o ver las películas débiles y algo predecibles que produce, ahora puedes crear una con un simple mensaje. Apple Intelligence comprende el contexto de su solicitud, el tipo de fotos que debe buscar, las personas en sus fotos, la historia que se cuenta a través de la secuencia de fotos e incluso la pista correcta de Apple Music para configurarla.

Apple Intelligence en iOS 18, impulsado por Apple Silicon

Estas funciones son posibles gracias al silicio de Apple: Apple Intelligence puede ejecutarse específicamente en el dispositivo porque todos sus chips personalizados contienen potentes unidades de procesamiento neuronal o NPU. Para dispositivos más antiguos que no tienen el último chip A17 Pro, o para funciones más potentes que no se pueden ejecutar en el dispositivo, Apple Intelligence se ejecuta en Private Cloud Compute, un servidor en la nube seguro.

“Tus fotos y vídeos no se comparten con Apple ni con nadie más”, aseguró Marineau a Mays.

Apple Intelligence también impulsa una versión mejorada de Siri, herramientas de escritura en el dispositivo y más.

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Tags Con, fotos, image, iMessage, lleva, más, Playground

Bisnis Industri

Pixar Image Computer is discontinued: Today in Apple history

Post author By miranda cosgrove
Post date April 25, 2024
No Comments on Pixar Image Computer is discontinued: Today in Apple history

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April 25: Today in Apple history: Pixar stops selling computers April 25, 1990: Steve Jobs shuts down Pixar’s hardware division (yes, it used to have one!), ending production of the pricey Pixar Image Computer immediately.

Jobs sells the company’s hardware unit to Fremont, California-based imaging company Vicom Systems for a paltry $2 million.

Steve Jobs at Pixar

Pixar was Jobs’ “rebound” company after his acrimonious departure from Apple in 1985. In early 1986, he bought a majority interest in the animation studio from Star Wars creator George Lucas for just $5 million (and an extra $5 million in guaranteed funding).

The long-term dream of Pixar’s founders was to create feature-length computer-animated movies, which is exactly what happened. However, while they waited for Moore’s law to make this kind of computing power possible, Jobs thought the company could sell computers to pay its way.

Pixar Image Computer: Too expensive

Lucas led the company during the development of the Pixar Image Computer. The filmmaker found existing computers too weak to handle the graphics needed to produce Pixar’s work (or to meet the demands of Hollywood studios that hired the company).

The Pixar Image Computer launched three months after Jobs acquired a controlling interest in the company. It was an impressive piece of kit, but carried a $135,000 price tag (the equivalent of more than $380,000 today). It also needed a $35,000 Sun Microsystems or Silicon Graphics workstation to function.

A second-generation model called the Pixar Image Computer II (aka the P-II) followed in 1987, with a vastly reduced price tag of “just” $35,000.

However, the computers sold poorly — and to a relatively small number of buyers. By April 1990, fewer than 300 Pixar Image Computers had sold. The main buyers included The Walt Disney Company, universities, intelligence agencies and medical research labs.

When Pixar’s five-person Animation Group won an Oscar for its short film Tin Toy in 1989, Jobs’ interests switched to that team, which he previously planned to kill off due to its inability to turn a profit. He canned the hardware division instead.

Pixar Image Computer: When ditching hardware turns out well

This happened amid a bad few years for Jobs. Of the two companies he owned — Pixar and NeXT — neither sold hardware in the quantities necessary to reach sustainability. Three years after the Pixar Image Computer was discontinued, NeXT also quit making hardware — and laid off 330 of its 500 employees.

Fortunately, both events turned out to be for the best. A reconfigured version of NeXT’s operating system, called OpenStep, led to NeXT being sold to Apple in 1996. (This ultimately led to Jobs becoming Apple’s CEO.)

As for Pixar, the renewed focus on animation led to Toy Story. The success of that film triggered the IPO that made Jobs a billionaire.

Did you ever use a Pixar Image Computer? Are you a Steve Jobs completist who happens to own one? We’d love to hear about it in the comments below.

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Tags Apple, computer, discontinued, History, image, Pixar, Today

Featured

Image site Abload going offline reminds me of how much online content we’ve permanently lost

Post author By lisa nichols
Post date April 24, 2024
No Comments on Image site Abload going offline reminds me of how much online content we’ve permanently lost

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In a devastating blog post, image-uploading site Abload announced that it would be permanently shutting down its website by June 30, 2024. Abload, which has been around as a free service since 2006, stopped accepting new uploads back in December 2023.

According to the blog post, the team had spent four months trying to keep the site afloat but failed in the end and now its entire contents — legacy images and links alike — are forfeit. What makes this even more tragic is that it’s something that keeps happening as the internet becomes more profit-driven and centralized.

This phenomenon recently occurred with Gliphy, a free site where you could upload and create gifs that could then be shared throughout the internet. Gliphy eventually went under and with it the entire expanse of its years-long collection. Just like that, internet history was erased. Even some of my own works have suffered thanks to losing this valuable resource.

Remnants of the old internet are disappearing

There’s a pattern here, with websites from the older internet created so users can freely create and share content being driven either to adopt a subscription model to survive or perish and sacrifice its entire catalog of content. Even looking at our best photo storage and sharing sites list, the only entries that survived from that era are Flickr and Photobucket, with the latter completely eliminating its free-use option.

Seeing so much online history being lost, with very few methods left to preserve it (the Wayback Machine, an amazing resource, cannot preserve Abload’s images), is truly difficult to watch. Personal cloud storage has grown in popularity over the years but as you can see from our aforementioned list, almost none of them serve the same function as these older websites. They solely exist to store photos but are incapable of letting you share and embed them on other websites.

It represents how much the internet has changed over the decades. Unfortunately, the reality is that as the internet changes instead of its past being preserved it’s instead discarded and lost to time. This also has the added effect of breaking old websites and forums that featured a significant amount of images from hosting sites like Abload, which means even more of what remains of archived content is further lost and ruined.

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Tags Abload, Content, image, Lost, Offline, Online, permanently, reminds, Site, weve

Featured

Adobe Firefly’s latest image model looks like a generational leap and I can’t wait to try it

Post author By lisa nichols
Post date April 23, 2024
No Comments on Adobe Firefly’s latest image model looks like a generational leap and I can’t wait to try it

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Adobe Firefly is already a hit with Photoshop users of all stripes but this next iteration could make the generative image tool that does not rely on publicly-scrapped images indispensable.

This week, at its Adobe Max in London, the company announced an update to its Photoshop Firefly generative AI utility that deepens the integration and vastly expands capabilities through the adoption of a new model: Firefly Image 3 Model.

I’ve been using Adobe Firefly almost since its introduction, and while its power is impressive, its use is simple. You select a photo, area, or image object in Photoshop, and then in the text prompt area describe what you want to appear. I’ve used it to extend table tops to help fill out a 16:9 aspect-ratio image, and to add a metallic apple to this Getty Image (below).

Apple robotics — Composite image composed of Getty original image and Adobe Firefly-generated apple (Image credit: Getty Images / Adobe Firefly AI (apple))

Image 3 Model, however, will add much finer control and new image workflows to Firefly’s generative arsenal. Among the key enhancements are:

Reference Image
Generate Background
Generate Similar
Enhance Detail

Perhaps most useful might be Firefly’s ability to help virtually anyone fill a blank canvas with pro-level imagery.

In a demonstration I watched, Adobe executives started with a blank canvas and then described in a prompt the scene they wanted: a bear playing guitar by a campfire. What’s new here, though, is how the enhanced generative tools include the ability to use reference images, set a content type, and add effects, all before generation begins.

It still takes about 20-25 seconds for a render to complete, but there are now more options; and the image detail, even when zoomed in, is far superior to what I’ve seen from Firefly Image 1 or 2 models.

The new reference image skills are especially powerful. With the bear, we selected its acoustic guitar, and from a series of reference guitar images chose an electric one and then had Firefly replace the original guitar. Firefly not only put the new guitar in place, but it properly lit it and adjusted the bear image so that its grip matched the fresh instrument.

Image 1 of 5

AI Images generated with Adobe Firefly Image 3 Model.(Image credit: Adobe)

It’s also now just as easy to swap out a background for something new. We started with a bottle of pink perfume, and then removed the background and asked Firefly to put it in pink water. The result was a dramatically lit bottle floating on a sea of pink water. Because the background is just an object, swapping it for snow or sand was also easy. I noticed how in each instance, the lighting and blend between the bottle and the new backgrounds were visually perfect.

Reference images mean that you can have an idea of how you want to replace a fill, surface, or object, and use reference images to drive each of those iterations. Firefly just makes it all look natural and good.

The new Generate Similar looks like a great way to iterate on an initial image idea.

Adobe Firefly Image 3 Model

Using a reference image in Adobe Photoshop to generate a new one (Image credit: Adobe)

Adobe’s VP of Generative AI, Alexandru Costin, told me the new model is now better at understanding longer prompts, and takes advantage of an improved style engine. The results are also more natural because Firefly Image 3 Model doesn’t default to what might look most aesthetically pleasing, like producing all portraits in “golden hour light.”

It can use references to match styles, but also image structure, and then build countless variations.

Firefly Image 3 Model will arrive first in Adobe Photoshop desktop beta and the Firefly web app in beta today (April 23, 2024). General availability is expected in Photoshop and Firefly later this year.

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Tags Adobe, Fireflys, generational, image, Latest, leap, model, wait

Life Style

First direct image of a ‘Wigner crystal’ made entirely of electrons

Post author By lisa nichols
Post date April 15, 2024
No Comments on First direct image of a ‘Wigner crystal’ made entirely of electrons

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Hello Nature readers, would you like to get this Briefing in your inbox free every day? Sign up here.

1000x magnification micrograph of Braarudospharea bigelowii cell. — A *Braarudosphaera bigelowii* cell magnified 1,000-fold.Credit: Tyler Coale

A new organelle that can turn atmospheric nitrogen into biologically useful molecules has been discovered in a marine alga. It’s the first time nitrogen fixation has been recorded in eukaryotes (the group of organisms that includes plants and animals). The discovery offers hope that crops could one day be engineered to grab nitrogen from the air — essentially making their own fertilizer.

Nature | 4 min read

Reference: Science paper

Nature Briefing: Microbiology is our new free weekly newsletter that is all about the most abundant living entities on our planet – microorganisms – and the role they play in health, the environment and food systems.

A Wigner crystal — a structure made entirely of electrons — has been imaged directly for the first time. Until now, there had only been indirect evidence of the crystal, which forms at low temperatures. “We never thought that we would succeed,” says physicist and study co-author Ali Yazdani. “It was a bit of an accident.” Using high-resolution scanning tunnelling microscopy, the team saw the electrons inside two thin graphene sheets arrange themselves into a triangular lattice, just as physicist Eugene Wigner predicted in 1934.

New Scientist | 4 min read

Reference: Nature paper

Evidence from burial sites across Europe might point to a common ritual involving human sacrifice. Shared characteristics — such as the style of killing, broken grindstones, remnants of animal sacrifices and round, silolike structures — suggest that these rituals might have been a widespread practice amongst cultures that were otherwise quite different. Critics say that the human skeletons lack some key features, such as signs of violent injury, which puts the conclusion in doubt. “Human sacrifice is widespread, and many different cultures practised it,” says osteoarchaeologist Christian Meyer. “But it’s difficult to prove, and there’s no real evidence here beyond the arrangement of bodies in a pit.”

Science | 5 min read

Reference: Science Advances paper

Reader poll

A bar chart illustrating responses to the poll question “What do you think about using Reddit?”

Last week, we learnt that some scientists are turning to Reddit as their social media network of choice. When we asked the working scientists among our readers, 11% of the self-selected respondents said it was already their most-used platform and almost 20% said they are considering using it more. Another 12% said they preferred other platforms, including Bluesky, Mastodon, Lemmy and ResearchGate. And 35% of respondents weren’t keen on any social media.

Features & opinion

As recent PhD graduates in psychology-related fields, Violeta Rodriguez and Qimin Liu wanted to forgo postdoctoral training and instead immediately become junior professors. And they succeeded: together, they received 15 tenure-track assistant-professorship offers. To help others navigate the “stressful, fast and unpredictable” journey, they share a checklist for before you even get started.

Nature | 6 min read

A theoretical physicist gets advice from three of his multiverse selves in the latest short story for Nature’s Futures series.

Nature | 6 min read

Scientists and 210 volunteers spent about 7,000 hours cataloguing more than a million kilometres of unmapped ghost roads in Borneo, New Guinea and Sumatra. “The basic bottom line is: where the roads go is where the forest destruction happens,” ecologist and study co-author Bill Laurance tells the Nature Podcast. Major official roads often have many ghost roads branching off them. “One of the messages we want to say to governments is: be really careful where you develop your infrastructure,” Laurance says.

Nature Podcast | 23 min listen

Subscribe to the Nature Podcast on Apple Podcasts, Spotify, or YouTube Music, or use the RSS feed.

QUOTE OF THE DAY

Physician-geneticist Francis Collins, the former head of the US National Institutes of Health, shares the details of his prostate cancer diagnosis to highlight the importance of early detection and clinical trials, and the pervasive health inequities in screening and treatments. (The Washington Post | 7 min read)

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Tags crystal, direct, electrons, image, Wigner

Featured

The AI image generator that protects businesses: We talk to iStock about balancing creative freedoms and commercially safe tools

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Billed as a commercially safe AI image generator, iStock released its AI photo platform back in January 2024 – and during a live demo of the latest update, we spoke to Chief Product Officer Grant Farhall and Bill Bon, Director of Editing, about creative efficiencies, business-first AI, and what makes a good AI text-to-image prompt.

Famed for its stock media library, the company, owned by Getty Images, has been focused of late on creating a good, usable AI tool that’s accessible at pretty much every level of an organization. And a commercially safe one, too, untrained on copyrighted materials that might bring down unnecessary lawsuits on businesses big and small.

The latest additions to the toolkit, Refine and Expand, add an extra layer of creativity. We took a look at how they worked while discussing iStock’s AI future.

You can check out the iStock Ai generator by clicking here

Finding creative efficiencies

Business may be the order of the day, but Farhall told us that iStock has made sure the tool was fun to use. Fun. It’s a word that’s repeated often during the live demo, feeling like a byword for simple, accessible, engaging. And it’s hard to deny that using certain AI art generators can feel like a slog, especially professional tools with their unintuitive or overly complex interfaces. In contrast, iStock is trying to balance exciting capabilities with usability – a factor the company feels gets overlooked in the rush for AI-everything. “It’s all about making lives easier,” said Farhall, “Letting users create in an elevated way.”

That’s evidenced from the start, with the platform employing a helpful prompt builder that guides you through the key information needed to generate AI images. Better prompts means better results.

Refine and Expand, the platform’s latest tools, are another example of this. The former lets users highlight areas of AI-generated images, then prompting the tool to add objects and people, or tweak elements of the image. In one example, we’re shown how easy it is to add a scarf to a photorealistic image of a man, just by selecting the neck area and telling the AI what to add. In another, a tiger was added to a jungle scene.

Expand, a tool favoured by designer Bon, intelligently adds to the background. Streets become longer, more populated, woods thicker – and, Bon explained, those expansions should make contextual sense. The social media advantages for time-poor designers and non-designers, where every platform demands different image dimensions, are clear.

The focus is on the ability to “expand what’s possible”, said Farhall, “finding creative efficiencies”. With AI, anything is possible.

Well, almost anything.

It’s rare in a live demo that we’re intentionally shown the limitations of a product. Here, what the tool can’t do is announced with the sort of fanfare usually reserved for massive updates, new features. The iStock AI Generator is, effectively, a safe – commercially safe – sandbox. In part the goal, said Farhall, was to prove you don’t need a mass dataset culled from every corner of the internet to train an AI; that it’s possible to provide a transparent process where creators are compensated and businesses can feel confident using the platform.

The AI generator can’t, for instance, generate existing logos or celebrities or copyrighted images. Nike swooshes, Taylor Swift, Mickey Mouse, the golden arches of McDonalds – as far as the iStock AI is concerned, these things simply do not exist. They’re not part of the training model, they’ll never be generated. Nor will a company’s AI generations get cycled back into the model. It’s a creative silo for businesses.

Since unveiling its tool, iStock has gone hard on legal business protections. From the beginning, it offered the same $10K legal coverage enjoyed by users of its pre-shot media library. The company hopes this will allow for seamless use between its AI and the stock media platforms.

That’s essential, Farhall explained, since the real issue with AI is that it’s always “looking back.” He cited the pandemic as an example, where photographers could be commissioned to get current images. Users, then, should get the best of both worlds. Expect closer integration between the two worlds, too. We’re told the ability to use the AI tool to edit and refine pre-shot is in the pipeline, and users will also soon be able to fine-tune AI images to create branded generations in May.

Before wrapping up, we ask veteran prompt writer Bon the secret behind what makes a good text-to-image prompt? He explained that it’s experimentation, but a good AI text prompt places important details at start. Make it long, 30-40 words using cinematic language, like whimsical and spooky, and include specifics like subjects and lighting style. And use image filters to make photoreal images more filmic. So, now we know.

Intel powers up XeSS upscaling to deliver faster frame rates for Arc GPUs – up to 30% quicker – and better image quality

Post author By lisa nichols
Post date April 5, 2024
No Comments on Intel powers up XeSS upscaling to deliver faster frame rates for Arc GPUs – up to 30% quicker – and better image quality

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Intel has unleashed a new version of its XeSS upscaling tech that rivals Nvidia DLSS and AMD FSR for speeding up frame rates in PC games.

Intel XeSS 1.3 is fresh on the scene, although note that it’s still in preview testing right now, with Team Blue claiming some decent performance boosts compared to XeSS 1.1 or 1.2.

On a PC with an Arc A750 GPU, Intel discovered a particularly impressive jump in frames per second (fps) with Diablo 4 at 1440p resolution (with high details and ray tracing on). Without XeSS, the action RPG ran at 37 fps, but with XeSS that increased to 71 fps – and with the new XeSS 1.3 the game hit 91 fps. That’s a performance gain of almost 30% over the previous incarnation of XeSS.

Other games have more modest, but still worthwhile, improvements, in the order of around 5 extra fps, a boost of around 10%.

Intel also demonstrated integrated graphics with the Arc GPU in an Intel Core Ultra processor, running games at 1080p with medium details. On average, Team Blue found XeSS 1.3 delivered 8% more fps compared to previous versions.

Not just faster, but better-looking upscaling too

XeSS 1.3 isn’t just about faster frame rates for your GPU, though, as Intel has been fine-tuning the image quality as well. The company tells us that version 1.3 of its upscaling tech benefits from an updated model that provides more detail in the image, better anti-aliasing (smoothing of jaggies) and less in the way of ghosting.

All in all, it seems like a sizeable stride forward for XeSS, but Intel will need to keep pushing with its upscaling technology – because AMD and Nvidia most definitely aren’t standing still.

Indeed, Nvidia just released DLSS 3.7 which offers similar improvements to what we see here from Intel (less ghosting, better temporal stability). And AMD may have even bigger moves underway – possibly finally bringing AI into the mix with FSR. (Note that both Intel and Nvidia already use hardware-accelerated AI cores to pep up their respective upscaling technologies).

Via Neowin

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Tags Arc, deliver, faster, Frame, GPUs, image, Intel, powers, Quality, quicker, rates, upscaling, XeSS

Business Industry

WhatsApp will finally let you select HD as default image resolution

Post author By miranda cosgrove
Post date March 26, 2024
No Comments on WhatsApp will finally let you select HD as default image resolution

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Last updated: March 26th, 2024 at 09:12 UTC+01:00

WhatsApp compresses all the images and videos unless you share them as documents. And many people get annoyed by the drop in quality of images and videos shared through WhatsApp. Last year, the app introduced the ability to share HD (actually 4K resolution) quality media, but you have to explicitly select that option. If you are tired of selecting the HD option every time, you might be in for a treat.

WhatsApp to bring the ability to select HD quality as the default resolution setting for sending images and videos

The Meta-owned company is working on a feature that lets you choose the default image and video quality for all your messages. WABetaInfo has found that WhatsApp is testing an option in the app’s Storage And Data settings that lets you choose between ‘Standard’ and ‘HD’ quality for all the images and videos that you share. This feature has been found in the 2.24.5.6 version of WhatsApp for Android.

After thorough testing is done, WhatsApp could release this feature to all Android users. You can expect to see this option on your Galaxy (or any other Android) device in the coming months.

Right now, when you share images and videos, you have to select the HD option every single time if you want to share higher-quality media. Many normal users don’t even know that this option exists, so many images and videos aren’t even shared in HD quality by default. Once this feature is released the usage of HD quality might increase and it will make it easier to send higher-quality media for those who want to use it.

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Tags default, finally, image, resolution, select, WhatsApp

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AMD’s FSR 3.1 promises improved image quality – with less flickering, better motion – and a trick that’ll delight some Nvidia GPU owners

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AMD has announced its next-gen upscaling box of tricks to make frame rates smoother with PC games at GDC 2024.

This is FSR 3.1, and it sounds like a big step forward – and not just for the quality of the upscaling tech, since there’s a surprise in tow for Nvidia (and Intel Arc) GPU owners.

The basics outlined by AMD are that in terms of better image quality, FSR 3.1 will boast ‘improved temporal stability’ which means fewer flickering or shimmering effects and less ‘fizziness’ around objects that are moving. There’ll be a reduction in the level of ghosting seen, too.

FSR 3.1 will provide a cleaner image overall, in short, and we’ll also get better preservation of detail, AMD asserts.

What about the surprise we mentioned? This is “decoupling FSR 3 upscaling from frame generation” so they are separate entities, and as AMD makes clear, this means that frame generation (adding additional artificial frames for a smoother frame rate) could work with other upscaling solutions.

AMD tells us that the first game to use FSR 3.1 will be Insomniac’s Ratchet & Clank: Rift Apart, and it’ll be delivered in an update for the game later this year (sadly we don’t get any idea of a precise timeframe).

FSR 3.1 should be available to game developers from Q2, meaning next month.

Support for Vulkan and the Xbox Game Development Kit is also inbound, and AMD notes a new FidelityFX API will make it “easier for developers to debug” and provide forward compatibility with updated versions of FSR.

Analysis: DLSS turbocharger for older Nvidia GPUs

Better image quality is clearly welcome with FSR 3.1 – even if some feel AMD has been pretty slow to act implementing improvements on this front – but the decoupling of frame generation is equally important.

This means that a PC gamer using Nvidia’s DLSS upscaling could draft in AMD’s frame generation to further rev up frame rates. Okay, so Lovelace GPU owners get DLSS 3 frame generation anyway, but those who don’t have an RTX 4000 graphics card can use DLSS but layer AMD’s frame generation on top, at least in theory. (Remember, while DLSS 3.5 may support older Nvidia GPUs with ray reconstruction, Team Green’s frame generation is still only available to RTX 4000 graphics cards).

Or those with an Intel Arc graphics card making use of XeSS upscaling could do the same thing, of course. AMD has tried to stay as open as possible with FSR and this is another commendable move in that respect.

We’ll need to see all this in action before we can really draw conclusions about how far AMD has advanced with version 3.1 of FSR, and it might be a bit of a wait yet before that happens.

Via VideoCardz

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Tags AMDs, delight, flickering, FSR, GPU, image, Improved, motion, NVIDIA, Owners, promises, Quality, Thatll, trick