Labyrinths seemed to have gone hand in hand with these vivid hues, for maximum kaleidoscopic effect. Among the most eye-catching (and irresistibly soft) were Dedars Jamu Jungle and Dj Vu Jamais, made all the more mesmerizing in flamingo pink. For a more subtle print on the eyes, S. Harriss Malay diffused a full spectrum of hues in an ethereal fabric.This fall, Maharam introduced Nova by Sander Lak, the latest in the design studios collaboration with the Sies Marjan fashion designer. I wanted to develop a pattern that captures our experience of color in a space and how color flows, grows, and moveslike starting to mix a pot of paint, says Lak.Woodland EmbarkingArborists had a field day in textiles this year, with stylized, chic tree designs sprouting up throughout 2024. Take Sahcos Art Decoesque forest Sariska print, which features a meandering path of tiny geometric trees and metallic touches. Artes vibrant Riverbank jacquard wall covering, inspired by the glamour of mid-century Japan, took a more pastoral turn. Taking cues from Art Nouveau, the equally exuberant Sheltering Pond mural by Aux Abris drew from Shelter Islands woodland escapes.Dedars Il Giardino In Una Stanza felt nearly magical with its ultra-subtle imagery of bamboo, birds, and insects, achieved through varying piles in the jacquard velvet, while House of Hackneys Trees Please print similarly felt straight out of a storybook. For fauna with a modern but versatile feel, Larsen debuted a stunning leaf-like printed fabric in upholstery and drapery weight. The design promises to be a chic and trusty alternative to the ubiquitous palm print.Stamp of ApprovalWhile many brands channeled classic prints from India, others put twists on stamped motifs, ranging from delicate florals to bold geometrics. Abstract highlights include Fermoies flowing repeat, Ruffle, which comes in 17 colorways, as well as Raptus & Wrights Pablos Polka, available at Studio Four NYC through the UK brands US exclusive with Lucy Rose Design. And inspired by founder Cara Georges great aunt who lived across the pond, textile studio Otea launched this fall with chic offeringsmany of which emulate block printsinformed by folk art, architectural antiquity, flora, fauna, and more.Maison Venu, Schuyler Samperton Textiles, Peter Dunham Textiles, and Nina Campbell were among the slew of brands packing pops of color through printed petals. We love how this style deliberately embraces the imperfections of hand-made craftlines and prints may not match precisely, and colors may not be distributed evenly, but that only adds to the appeal.Dialing Up the CharmA certifiable mark of a personality-driven interior? A novelty print, of course. This years irresistible motifs were far-flung in nature, but shared one idea: They piled on the charm! Take Nina Campbells recent designs for Osborne & Little, a.k.a. the Dallimore collection, which takes its name from pioneering English botanist William Dallimore. Its Tudeley fabric was especially jubilant with its potted plants detailed in myriad shades. More funky than dainty, the print feels fresh and akin to the blooms of contemporary artists like Jonas Wood.

15 Blender free scripts By Semy on December 13, 2024 Add-ons Semy created a pack of 15 useful Blender scripts, randing from keyframe and collection manipulation to mesh conversion and generation.A gift for our Blender Nation community!We made 15 Blender mini scripts and gave them totally for free. They will save you hours of tedious work inside the Blender.Get the scripts here.Here is the video of what is inside:And don't worry you don't have to have any experience with scripting or Python. I explained everything in the video.What is inside? Clear Visibility Keyframes In Collection Sequential Object Keyframer Sort Collections and Objects Alphabetically Sort Selected Collection Alphabetically Remove Empty Collections Apply Transforms To Collection Rename Objects With Prefix Suffix Toggle Collection Visibility Move Objects To Origin Convert Curve Objects To Meshes Batch Rename Objects By Type Select Objects By Material Align Selected To Active Batch Apply Modifiers To Selected Objects Generate LOD Models Have fun and share the to 3D

Three hundred twenty-four. That was the score Mary Louis was given by an AI-powered tenant screening tool. The software, SafeRent, didnt explain in its 11-page report how the score was calculated or how it weighed various factors. It didnt say what the score actually signified. It just displayed Louiss number and determined it was too low. In a box next to the result, the report read: Score recommendation: DECLINE.Louis, who works as a security guard, had applied for an apartment in an eastern Massachusetts suburb. At the time she toured the unit, the management company said she shouldnt have a problem having her application accepted. Though she had a low credit score and some credit card debt, she had a stellar reference from her landlord of 17 years, who said she consistently paid her rent on time. She would also be using a voucher for low-income renters, guaranteeing the management company would receive at least some portion of the monthly rent in government payments. Her son, also named on the voucher, had a high credit score, indicating he could serve as a backstop against missed payments.But in May 2021, more than two months after she applied for the apartment, the management company emailed Louis to let her know that a computer program had rejected her application. She needed to have a score of at least 443 for her application to be accepted. There was no further explanation and no way to appeal the decision.Mary, we regret to inform you that the third party service we utilize to screen all prospective tenants has denied your tenancy, the email read. Unfortunately, the services SafeRent tenancy score was lower than is permissible under our tenancy standards.A tenant suesLouis was left to rent a more expensive apartment. Management there didnt score her algorithmically. But, she learned, her experience with SafeRent wasnt unique. She was one of a class of more than 400 Black and Hispanic tenants in Massachusetts who use housing vouchers and said their rental applications were rejected because of their SafeRent score.In 2022, they came together to sue the company under the Fair Housing Act, claiming SafeRent discriminated against them. Louis and the other named plaintiff, Monica Douglas, alleged the companys algorithm disproportionately scored Black and Hispanic renters who use housing vouchers lower than white applicants. They alleged the software inaccurately weighed irrelevant account information about whether theyd be good tenants credit scores, non-housing related debt but did not factor in that theyd be using a housing voucher. Studies have shown that Black and Hispanic rental applicants are more likely to have lower credit scores and use housing vouchers than white applicants.It was a waste of time waiting to get a decline, Louis said. I knew my credit wasnt good. But the AI doesnt know my behavior it knew I fell behind on paying my credit card but it didnt know I always pay my rent.Two years have passed since the group first sued SafeRent so long that Louis says she has moved on with her life and all but forgotten about the lawsuit, though she was one of only two named plaintiffs. But her actions may still protect other renters who make use of similar housing programs, known as Section 8 vouchers for their place in the US federal legal code, from losing out on housing because of an algorithmically determined score.SafeRent has settled with Louis and Douglas. In addition to making a $2.3m payment, the company has agreed to stop using a scoring system or make any kind of recommendation when it came to prospective tenants who used housing vouchers for five years. Though SafeRent legally admitted no wrongdoing, it is rare for a tech company to accept changes to its core products as part of a settlement; the more common result of such agreements would be a financial agreement.While SafeRent continues to believe the SRS Scores comply with all applicable laws, litigation is time-consuming and expensive, Yazmin Lopez, a spokesperson for the company, said in a statement. It became increasingly clear that defending the SRS Score in this case would divert time and resources SafeRent can better use to serve its core mission of giving housing providers the tools they need to screen applicants.Your new AI landlordTenant-screening systems like SafeRent are often used as a way to avoid engaging directly with applicants and pass the blame for a denial to a computer system, said Todd Kaplan, one of the attorneys representing Louis and the class of plaintiffs who sued the company.The property management company told Louis the software alone decided to reject her, but the SafeRent report indicated it was the management company that set the threshold for how high someone needed to score to have their application accepted.The AI doesnt know my behavior it knew I fell behind on paying my credit card but it didnt know I always pay my rentStill, even for people involved in the application process, the workings of the algorithm are opaque. The property manager who showed Louis the apartment said she couldnt see why Louis would have any problems renting the apartment.Theyre putting in a bunch of information and SafeRent is coming up with their own scoring system, Kaplan said. It makes it harder for people to predict how SafeRent is going to view them. Not just for the tenants who are applying, even the landlords dont know the ins and outs of SafeRent score.As part of Louiss settlement with SafeRent, which was approved on 20 November, the company can no longer use a scoring system or recommend whether to accept or decline a tenant if theyre using a housing voucher. If the company does come up with a new scoring system, it is obligated to have it independently validated by a third-party fair housing organization.Removing the thumbs-up, thumbs-down determination really allows the tenant to say: Im a great tenant, said Kaplan. It makes it a much more individualized determination.skip past newsletter promotionSign up to TechScapeFree weekly newsletterA weekly dive in to how technology is shaping our livesPrivacy Notice: Newsletters may contain info about charities, online ads, and content funded by outside parties. For more information see our Privacy Policy. We use Google reCaptcha to protect our website and the Google Privacy Policy and Terms of Service apply.after newsletter promotionAI spreads to foundational parts of lifeNearly all of the 92 million people who are considered low-income in the US have been exposed to AI decision-making in fundamental parts of life such as employment, housing, medicine, schooling or government assistance, according to a new report about the harms of AI by attorney Kevin de Liban, who represented low-income people as part of the Legal Aid Society. The founder of a new AI justice organization called TechTonic Justice, De Liban first started investigating these systems in 2016 when he was approached by patients with disabilities in Arkansas who suddenly stopped getting as many hours of state-funded in-home care because of automated decision-making that cut human input. In one instance, the states Medicaid dispensation relied on a program that determined a patient did not have any problems with his foot because it had been amputated.This made me realize we shouldnt defer to [AI systems] as a sort of supremely rational way of making decisions, De Liban said. He said these systems make various assumptions based on junk statistical science that produce what he refers to as absurdities.In 2018, after De Liban sued the Arkansas department of human services on behalf of these patients over the departments decision-making process, the state legislature ruled the agency could no longer automate the determination of patients allotments of in-home care. De Libans was an early victory in the fight against the harms caused by algorithmic decision-making, though its use nationwide persists in other arenas such as employment.Few regulations curb AIs proliferation despite flawsLaws limiting the use of AI, especially in making consequential decisions that can affect a persons quality of life, are few, as are avenues of accountability for people harmed by automated decisions.A survey conducted by Consumer Reports, released in July, found that a majority of Americans were uncomfortable about the use of AI and algorithmic decision-making technology around major life moments as it relates to housing, employment, and healthcare. Respondents said they were uneasy not knowing what information AI systems used to assess them.Unlike in Louiss case, people are often not notified when an algorithm is used to make a decision about their lives, making it difficult to appeal or challenge those decisions.The existing laws that we have can be useful, but theyre limited in what they can get you, De Liban said. The market forces dont work when it comes to poor people. All the incentive is in basically producing more bad technology, and theres no incentive for companies to produce low-income people good options.Federal regulators under Joe Biden have made several attempts to catch up with the quickly evolving AI industry. The president issued an executive order that included a framework intended, in part, to address national security and discrimination-related risks in AI systems. However, Donald Trump has made promises to undo that work and slash regulations, including Bidens executive order on AI.That may make lawsuits like Louiss a more important avenue for AI accountability than ever. Already, the lawsuit garnered the interest of the US Department of Justice and Department of Housing and Urban Development both of which handle discriminatory housing policies that affect protected classes.To the extent that this is a landmark case, it has a potential to provide a roadmap for how to look at these cases and encourage other challenges, Kaplan said.Still, keeping these companies accountable in the absence of regulation will be difficult, De Liban said. Lawsuits take time and money, and the companies may find a way to build workarounds or similar products for people not covered by class action lawsuits. You cant bring these types of cases every day, he said.

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Chernobylite launched back in 2019, bringing with it mostly positive reviews and an interesting hook for a 3D survival game laced with a touch of horror it was made using 3D scans of the real-life Chernobyl exclusion zone. This hints at an intriguing attention to detail from the developers, and on more powerful hardware, the effort pays off, providing the game with an immersive atmosphere full of misty lighting and tangibly tragic ruins. But on Switch, the impact of the games most unique feature has, unfortunately, been lost in the visual downgrade.By far the strongest part of Chernobylite for us was its ambitious storytelling. The storyline follows Igor Khymynuk, whose aim to find his wife Tatyana, another scientist, who went missing in the zone is compellingly brought to life as he hallucinates through missions and struggles to put together clues and launch a climactic assault on the Chernobyl facility itself, Tatyanas last-known location.But (and there are a few buts) we have rarely played a game so badly in need of motion aiming. No matter how much we adjusted the settings, including turning on an assist mode, we couldnt find a sweet spot that made the aiming work for us. The consequence on the FPS side of things a significant part of the game was to make it mostly frustrating. We died a lot either aiming off into the grey skies, or slowly turning our sights towards an intended headshot. Or body shot - any kind of shot to keep ourselves alive.It should be stressed that Chernobylite emphasises stealth over direct combat. Youre not meant to get into these firefights if you can avoid them. But being stealthy amounts to ducking and crawling slowly up to every enemy. This gets tiresome, and youll be tempted to fire one of your many guns as an alternative.We died a lot, and dying revealed a dubious design choice. Most of the time we ended up captured (at other times, we ended up in a surreal time warp youll have to play to find out why) with our kit stolen and hidden away somewhere in the same enemy army base every time. Theres a story reason for this, and some very minor variety, but we soon found it repetitive. Sure, you can save scum to avoid it, but the games momentum suffers.Other elements base building, people management got lost in the fallout. Our sallies into the exclusion zone, gathering resources, crafting, and looking for ways to progress the game were initially as addictive as in other survival games, but we soon found this loop grind-heavy. The key elements upgrading kit, unlocking new tiers of things to build are done well enough if you like that flow. For the right person, Chernobylite will still be a very enjoyable time.We liked much of Chernobylite and this is a playable port with a fairly solid frame rate, but too many things held us back from scoring it any higher - the graphical downgrade, the tedious death loop, and most egregiously, the multiple crashes that we experienced throughout. We never lost any progress but almost a dozen crashes in the 15-20 hour runtime are worth noting.

2025 draws near.We're back with a fresh look at our weekend gaming plans in the latest edition of What Are You Playing!Before we dive into things, however, let's recap this past week. Mr. Video Games himself, Geoff Keighley, was gracing our screens once again at The Game Awards, and while it was far from a Switch-fest, we did get a look at a new Sonic Racing title, Hideki Kamiya's Okami sequel and a weird new spin on Pac-Man.Read the full article on nintendolife.com

World models, also known as world simulators, are being touted by some as the next big thing in AI. AI pioneer Fei-Fei Lis World Labs has raised $230 million to build large world models, and DeepMind hired one of the creators of OpenAIs video generator, Sora, to work on world simulators. (Sora was released on Monday; here are some early impressions.) But what the heck are these things?World models take inspiration from the mental models of the world that humans develop naturally. Our brains take the abstract representations from our senses and form them into more concrete understanding of the world around us, producing what we called models long before AI adopted the phrase. The predictions our brains make based on these models influence how we perceive the world.A paper by AI researchers David Ha and Jrgen Schmidhuber gives the example of a baseball batter. Batters have milliseconds to decide how to swing their bat shorter than the time it takes for visual signals to reach the brain. The reason theyre able to hit a 100-mile-per-hour fastball is because they can instinctively predict where the ball will go, Ha and Schmidhuber say.For professional players, this all happens subconsciously, the research duo writes. Their muscles reflexively swing the bat at the right time and location in line with their internal models predictions. They can quickly act on their predictions of the future without the need to consciously roll out possible future scenarios to form a plan.Its these subconscious reasoning aspects of world models that some believe are prerequisites for human-level intelligence.Modeling the worldWhile the concept has been around for decades, world models have gained popularity recently in part because of their promising applications in the field of generative video.Most, if not all, AI-generated videos veer into uncanny valley territory. Watch them long enough and somethingWhile a generative model trained on years of video might accurately predict that a basketball bounces, it doesnt actually have any idea why just like language models dont really understand the concepts behind words and phrases. But a world model with even a basic grasp of why the basketball bounces like it does will be better at showing it do that thing.To enable this kind of insight, world models are trained on a range of data, including photos, audio, videos, and text, with the intent of creating internal representations of how the world works, and the ability to reason about the consequences of actions.A sample from AI startup Runways Gen-3 video generation model. Image Credits:RunwayA viewer expects that the world theyre watching behaves in a similar way to their reality, Alex Mashrabov, Snaps ex-AI chief of AI and the CEO of Higgsfield, which is building generative models for video, said. If a feather drops with the weight of an anvil or a bowling ball shoots up hundreds of feet into the air, its jarring and takes the viewer out of the moment. With a strong world model, instead of a creator defining how each object is expected to move which is tedious, cumbersome, and a poor use of time the model will understand this.But better video generation is only the tip of the iceberg for world models. Researchers including Meta chief AI scientist Yann LeCun say the models could someday be used for sophisticated forecasting and planning in both the digital and physical realm.In a talk earlier this year, LeCun described how a world model could help achieve a desired goal through reasoning. A model with a base representation of a world (e.g. a video of a dirty room), given an objective (a clean room), could come up with a sequence of actions to achieve that objective (deploy vacuums to sweep, clean the dishes, empty the trash) not because thats a pattern it has observed but because it knows at a deeper level how to go from dirty to clean.We need machines that understand the world; [machines] that can remember things, that have intuition, have common sense things that can reason and plan to the same level as humans, LeCun said. Despite what you might have heard from some of the most enthusiastic people, current AI systems are not capable of any of this.While LeCun estimates that were at least a decade away from the world models he envisions, todays world models are showing promise as elementary physics simulators.Sora controlling a player in Minecraft and rendering the world. Image Credits:OpenAIOpenAI notes in a blog that Sora, which it considers to be a world model, can simulate actions like a painter leaving brush strokes on a canvas. Models like Sora and Sora itself can also effectively simulate video games. For example, Sora can render a Minecraft-like UI and game world.Future world models may be able to generate 3D worlds on demand for gaming, virtual photography, and more, World Labs co-founder Justin Johnson said on an episode of the a16z podcast.We already have the ability to create virtual, interactive worlds, but it costs hundreds and hundreds of millions of dollars and a ton of development time, Johnson said. [World models] will let you not just get an image or a clip out, but a fully simulated, vibrant, and interactive 3D world.High hurdlesWhile the concept is enticing, many technical challenges stand in the way.Training and running world models requires massive compute power even compared to the amount currently used by generative models. While some of the latest language models can run on a modern smartphone, Sora (arguably an early world model) would require thousands of GPUs to train and run, especially if their use becomes commonplace.World models, like all AI models, also hallucinate and internalize biases in their training data. A world model trained largely on videos of sunny weather in European cities might struggle to comprehend or depict Korean cities in snowy conditions, for example, or simply do so incorrectly.A general lack of training data threatens to exacerbate these issues, says Mashrabov. We have seen models being really limited with generations of people of a certain type or race, he said. Training data for a world model must be broad enough to cover a diverse set of scenarios, but also highly specific to where the AI can deeply understand the nuances of those scenarios.In a recent post, AI startup Runways CEO, Cristbal Valenzuela, says that data and engineering issues prevent todays models from accurately capturing the behavior of a worlds inhabitants (e.g. humans and animals). Models will need to generate consistent maps of the environment, he said, and the ability to navigate and interact in those environments.A Sora-generated video. Image Credits:OpenAIIf all the major hurdles are overcome, though, Mashrabov believes that world models could more robustly bridge AI with the real world leading to breakthroughs not only in virtual world generation but robotics and AI decision-making.They could also spawn more capable robots. Robots today are limited in what they can do because they dont have an awareness of the world around them (or their own bodies). World models could give them that awareness, Mashrabov said at least to a point.With an advanced world model, an AI could develop a personal understanding of whatever scenario its placed in, he said, and start to reason out possible solutions.TechCrunch has an AI-focused newsletter!Sign up hereto get it in your inbox every Wednesday.

Klarna CEO Sebastian Siemiatkowski recently told Bloomberg TV that his company essentially stopped hiring a year ago and credited generative AI for enabling this massive workforce reduction.However, despite Siemiatkowskis bullishness on AI, the company is not relying entirely on AI to replace human workers who leave, as open job listings for more humans and the companys own statements confirm.We stopped hiring about a year ago. We were 4,500, now were 3,500, Siemiatkowski told Bloomberg TV. We have a natural attrition, as [does] every tech company. People stay about 5 years so 20% leave every year and by not hiring, were simply shrinking.The companys CEO also said he believes AI can effectively replace workers. I am of the opinion that AI can already do all of the jobs that we as humans do, said Siemiatkowski. Were gonna give some of the improvements [from] the efficiency that AI provides by increasing the pace at which the salaries of our employees increases.Siemiatkowski often makes this variety of comments. To start 2024, the Klarna CEO said ChatGPT was doing the work of 700 human employees. At another point, he said that Klarna was dropping Salesforce as a CRM provider and replacing it with AI, a comment Marc Benioff expressed skepticism about. Just this week, the Klarna CEO made an AI deepfake of himself to report his financial results, attempting to prove that even a CEO can be replaced by AI.But in practice, while Klarna has significantly reduced its workforce in the last year, the buy now, pay later company has not completely stopped hiring.Klarna is currently hiring for more than 50 roles around the globe, according to the job postings page on its website. Furthermore, Klarnas managers have said they are actively hiring orgrowing their teams at least half a dozen times throughout 2024, according to posts on LinkedIn viewed by TechCrunch. Klarna also hired several new employees in the last year to fill roles on its policy, software engineering, and global partnerships teams, according to LinkedIn posts from recently hired Klarna employees.Klarnas global press lead, John Craske, tells TechCrunch that Siemiatkowskis comments about hiring are directionally true but says the CEO was simplifying for brevity in a broadcast interview.When you look at it historically, we were hiring between one to one and a half thousand people a year from 2019 to 2022, said Craske in an email. Now, were not actively recruiting to expand the workforce but only backfilling some essential roles, predominantly engineering.In other words, not every job can be replaced with AI today. While AI may be helping Klarna do more work with fewer people, its worth noting that Klarna has the same number of employees today than it did in 2021. Like most tech companies, Klarna was hiring a lot during the pandemic. Many companies, including Meta and Amazon, have reduced their workforces in the last few years, either by slowing down hiring or having layoffs.Its also worth pointing out that Klarna is looking to IPO soon. Siemiatkowski could be trying to convince investors that his company is aggressively incorporating generative AI into its workflows and that the benefits are already showing up.But for most companies these days, AI adoption and implementation are happening at a much slower rate.

RAHN, a Switzerland-based specialist in radiation curing technologies that has operated for over forty years, is entering the 3D printing market as a provider of raw materials for photopolymer manufacturing. This move comes as additive manufacturing continues to find applications in industries that demand precise components and stable material properties. By supplying photopolymer formulations designed for ultraviolet (UV) additive processes, including stereolithography (SLA), digital light processing (DLP), continuous liquid interface production (CLIP), and multi-jet modeling (MJM), RAHN aims to apply established knowledge in radiation curing to emerging manufacturing settings.A scientist handling RAHN photopolymer resin, highlighting the materials high viscosity and suitability for UV-curable 3D printing processes. Photo via RAHN.Photopolymers, which remain liquid until exposure to ultraviolet light causes them to solidify, serve as a core element of many high-resolution 3D printing systems. RAHNs expertise lies in fine-tuning formulations composed of monomers, oligomers, photoinitiators, and additives. Each component plays a role in determining a resins properties: monomers and oligomers influence structure and mechanical strength, photoinitiators trigger curing reactions under controlled UV wavelengths, and additives can alter flexibility, color, or even flame resistance. Such nuance is essential for producing customized parts demanded by sectors like healthcare, dentistry, aerospace, automotive, and prototyping. RAHNs laboratories, equipped with SLA, DLP, and LCD 3D printers, allow direct testing of these formulations. This iterative approach aims to improve dimensional accuracy, mechanical performance, and efficiency in material use.Environmental considerations also inform RAHNs approach. The company reports developing eco-friendly photopolymers formulated with renewable or recycled resources that can be biodegradable, recyclable, or compostable. RAHNs public engagement, including webinars and technical guidance, suggests an attempt to foster a more informed conversation about the intersection of advanced materials, process optimization, and environmental responsibility in additive manufacturing.A lattice cube created with RAHN photopolymer resin demonstrates precision and clarity in 3D printing. Photo via RAHN.Photopolymer Material DevelopmentSupernova, an industrial 3D printing company, has introduced a new production platform for high-viscosity photopolymers. This platform includes a 3D printer, a post-processing cell, and software designed to handle proprietary resins formulated as Viscogels. These high-viscosity materials are offered in categories such as rigid composites, ductile formulations, rubber variants, and silicone-like resins. Intended mechanical properties reportedly compare to conventional injection molding materials, with loadings of ceramics and metals for strength and durability. According to reports, these formulations exhibit reduced emissions of volatile organic compounds (VOCs) by incorporating higher oligomer content that lowers porosity and limits uncured monomers. Their high viscosity enables the inclusion of larger amounts of solid additives and other custom components.Another development comes from polySpectra, which released a resin called COR Zero that can be used with affordable DLP and LCD printers. This material offers mechanical strength, heat resistance, and chemical durability that resemble attributes found in industrial production environments. COR Zero is formulated to address brittleness and thermal instability often associated with photopolymer resins. The approach involves producing parts with tensile strength and impact resistance that allow for end-use components rather than limiting the material to prototyping applications. The resin can be stored in accessible conditions and processed with common household equipment, enabling small-scale and home-based production of durable parts without reliance on large industrial installations.3D printed part made from COR Zero. Photo via polySpectra.Your voice matters in the 2024 3D Printing Industry Awards. Vote Now!What will the future of 3D printing look like?Which recent trends are driving the 3D printing industry, as highlighted by experts?Subscribe to the 3D Printing Industry newsletter to stay updated with the latest news and insights.Stay connected with the latest in 3D printing by following us on Twitter and Facebook, and dont forget to subscribe to the 3D Printing Industry YouTube channel for more exclusive content.Featured image shows scientist handling RAHN photopolymer resin. Photo via RAHN.