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WWW.ARCHDAILY.COMCoihues Neighborhood / 0.7 ArquitecturaCoihues Neighborhood / 0.7 ArquitecturaSave this picture! Mara Eugenia CancelaColivingVilla Udaondo, ArgentinaArchitects: 0.7 ArquitecturaAreaArea of this architecture projectArea:2315 mYearCompletion year of this architecture project Year: 2024 ManufacturersBrands with products used in this architecture project Manufacturers: FV, Hydro, ferrum Lead Architects: Juan Manuel Caonero, J. Lucas I. Cceres More SpecsLess SpecsSave this picture!Text description provided by the architects. Coihues is a neighborhood of ten houses situated on both sides of an internal vehicular street after passing through an important entrance gate. The access of each unit from this community street is private and has its own garage and a park area with a pool.Save this picture!Save this picture!The houses are oriented alternately in order to receive the best sunlight opening towards their private parks. The units on the front line of the street invert their orientation to cover the best views while keeping the row of trees in their parks, which works as a natural separation from the vehicular street.Save this picture!The emplacement layout has to do with a particular perpendicular position of each house with respect to the street in order to open up the central community space and, at the same time, to improve the sunlight of the private outdoor areas. As a result of this design, it stands as a small-scale neighborhood with high-quality community spaces and large areas of privacy for each unit.Save this picture!The houses are developed on three variants of one unique typology that, by mirroring and alternating, avoid the monotony of the whole set. The internal functions of the houses are distributed on two levels, with a public area on the ground floor, which includes the living- and dining room, the kitchen, and an external gallery facing the park. This gallery is opened completely towards the street, allowing wider use by incorporating the garages as a useful space. On the first floor is the private area, which includes the master suite and the rest of the bedrooms.Save this picture!Save this picture!Save this picture!The language of the housing complex is given by a reinforced concrete structure that works as an exterior enclosure as well as an assembly of the facades. From a formal point of view, the reinforced concrete is used to generate hanging planes that lighten the impact of the material while allowing the ground floor to open towards the park and, at the same time, protect the private spaces of the first level. The facades are complemented by the use of wood as cladding, giving the entire set a greater warmth and a greater harmony with the forest environment.Save this picture!Project gallerySee allShow lessProject locationAddress:Villa Udaondo, ArgentinaLocation to be used only as a reference. It could indicate city/country but not exact address.About this office0.7 ArquitecturaOfficeMaterialConcreteMaterials and TagsPublished on December 28, 2024Cite: "Coihues Neighborhood / 0.7 Arquitectura" [ Barrio Coihues / 0.7 Arquitectura] 28 Dec 2024. ArchDaily. Accessed . <https://www.archdaily.com/1024223/coihues-neighborhood-arquitectura&gt ISSN 0719-8884Save!ArchDaily?You've started following your first account!Did you know?You'll now receive updates based on what you follow! Personalize your stream and start following your favorite authors, offices and users.Go to my stream0 Comments 0 Shares 28 Views
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GAMERANT.COMStalker 2: All Arch Artifacts LocationsStalker 2: Heart of Chornobyl offers a ton of artifacts for players to collect and gain the status bonuses that come with them. Among all the artifacts in the game, the Arch artifacts are the most unique ones that are tied to one of the six anomalous zones and can be acquired once. These artifacts provide a significant benefit to players' stats while having zero radiation side effects. However, they do inflict a debuff on players to balance the benefit gained from it.0 Comments 0 Shares 27 Views
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GAMERANT.COMOne Piece: Oda Reveals The Power Of The Bandaged Holy KnightOne Piece chapter 1135 dropped recently and it revealed quite a lot of exciting details to the fans. This chapter spanned many exciting things, such as the Owl's Library, and of course, the banquet finally being held in Elbaf Village. But, undoubtedly, the thing that fans were waiting to see the most in this arc was the move made by the Holy Knights that were previously introduced in the chapter.0 Comments 0 Shares 26 Views
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GAMERANT.COMBaldurs Gate 3 Player Commits the Most Sadistic Act PossibleThis article contains small spoilers for Act One of Baldur's Gate 3.0 Comments 0 Shares 26 Views
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WWW.YANKODESIGN.COMGeometric speaker concept creates a futuristic ambiance in your living spaceSpeakers started out with rather boxy designs that were meant to be more efficient than elegant. This situation has changed over the years, thanks to developments in technology and manufacturing that left a bit of wiggle room for the critical components that make up these pieces of audio equipment. Some home speakers even come in the form of art objects that inject a bit of elegance and sophistication into the room.Thats not to say that angular, geometric shapes are unappealing, especially if they can be tweaked and embellished with a few details that take them beyond their polygonal appearance. This set of speakers, for example, mash together nature and architecture in a design that makes them look like imposing yet striking rocks. If rocks came from outer space, that is.Designer: Santiago LopezAlthough a monolith technically refers to a geological feature, the word has also taken a different meaning throughout history and culture. On the one hand, you have monolithic man-made structures like obelisks dating as far back as Ancient Egypt. On the other hand, you also have fictional objects like the iconic black monolith from Arthur C. Clarkes Space Odyssey science fiction series. It is a word that inspires both awe and creativity, combining both natural formations and artificial creations in a single thought.Those are the kinds of emotions that this Monolith speaker concept design tries to convey. On the one hand, they resemble large boulders naturally rising from the floor of your living room. On the other hand, their sharp angles and clean lines clearly convey an artificial nature, keeping their technological roots clear and unambiguous. The dark motif, paired with a few discreet light indicators, also gives it a sci-fi vibe, as if the speakers were miniature spacecraft from an advanced alien civilization.There are also a few subtle details that give the Monolith speakers some added charm. The front and the back of the speakers use triangular grilles to visually set themselves apart from typical perforations, but the front also utilizes a transparent fabric to make that pattern less conspicuous and distracting. Physical buttons lie on top of the speakers to control volume and power, while the rest of the connectors and switches are conveniently hidden on their backs.Its possible to connect all three speakers of the set using cables, creating the semblance of a starship fleet ready for take-off, or they can be distributed across the area and communicate over Bluetooth instead. The Monolith speaker concept doesnt drastically change the design formula but combines inspiration from nature with technical sensibilities to deliver a more striking aesthetic that doesnt compromise on space efficiency for the components inside.The post Geometric speaker concept creates a futuristic ambiance in your living space first appeared on Yanko Design.0 Comments 0 Shares 26 Views
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WWW.YANKODESIGN.COMSquid Fork makes eating your Cup Noodles easier and more funSometimes, at the end of a long and stressful day, the only thing that I can think of eating is a cup of instant noodles bought from my neighborhood convenience store. Its best eaten with a pair of chopsticks while slurping down the soup but there are times when there are no chopsticks around and you have to make do with a fork, which isnt the most convenient.Designer: NissinNissin is one of the main proponents of instant noodles culture with their ubiquitous Cup Noodle products. Theyre now making it more fun and easier to eat your favorite noodles with the Ika Fork or the Squid Fork (ika is of course Japanese for squid). It solves the problem of your noodles slipping out of your ordinary plastic forks grasp by redesigning the fork and also making it unique and fun.The fork is designed to look like a real squid, with actual details of the cephalopod included in the utensil. Its around 8 inches in length and made from heat-resistant materials that can withstand really hot noodles up to 100 degrees Celsius. It prevents your noodles from slipping so you can enjoy the cup without being annoyed.Its designed for the cup noodles but you can also use it for other food things that require a fork. Its included in a limited-edition set which has several Cup Noodles flavors and can be ordered through Nissins official store and Amazon Japan. The post Squid Fork makes eating your Cup Noodles easier and more fun first appeared on Yanko Design.0 Comments 0 Shares 26 Views
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VENTUREBEAT.COMHow advanced foundation models will expand what AI can do (and other predictions for 2025)Foundation models will be brand DNA, hands-free will be redefined and we'll hit the AI trust tipping point (among other developments).Read More0 Comments 0 Shares 26 Views
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WWW.THEVERGE.COMThe US proposes rules to make healthcare data more secureThe US Department of Health and Human Services (HHS) Office for Civil Rights (OCR) is proposing new cybersecurity requirements for healthcare organizations aimed at protecting patients private data in the event of cyberattacks, reports Reuters. The rules come after major cyberattacks like one that leaked the private information of more than 100 million UnitedHealth patients earlier this year.The OCRs proposal includes requiring that healthcare organizations make multifactor authentication mandatory in most situations, that they segment their networks to reduce risks of intrusions spreading from one system to another, and that they encrypt patient data so that even if its stolen, it cant be accessed. It would also direct regulated groups to undertake certain risk analysis practices, keep compliance documentation, and more. RelatedThe rule is part of the cybersecurity strategy that the Biden administration announced last year. Once finalized, it would update the Security Rule of the Health Insurance Portability and Accountability Act of 1996 (HIPAA), which regulates doctors, nursing homes, health insurance companies, and more, and was last updated in 2013.US deputy national security advisor Anne Neuberger put the cost of implementing the requirements at an estimated $9 billion in the first year, and $6 billion in years two through five, writes Reuters. The proposal is due to be published in the Federal Register on January 6th, which will kick off the 60-day public comment period before the final rule is set.0 Comments 0 Shares 26 Views
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WWW.MARKTECHPOST.COMHypernetwork Fields: Efficient Gradient-Driven Training for Scalable Neural Network OptimizationHypernetworks have gained attention for their ability to efficiently adapt large models or train generative models of neural representations. Despite their effectiveness, training hyper networks are often labor-intensive, requiring precomputed optimized weights for each data sample. This reliance on ground truth weights necessitates significant computational resources, as seen in methods like HyperDreamBooth, where preparing training data can take extensive GPU time. Additionally, current approaches assume a one-to-one mapping between input samples and their corresponding optimized weights, overlooking the stochastic nature of neural network optimization. This oversimplification can constrain the expressiveness of hypernetworks. To address these challenges, researchers aim to amortize per-sample optimizations into hypernetworks, bypassing the need for exhaustive precomputation and enabling faster, more scalable training without compromising performance.Recent advancements integrate gradient-based supervision into hypernetwork training, eliminating the dependency on precomputed weights while maintaining stability and scalability. Unlike traditional methods that rely on pre-computed task-specific weights, this approach supervises hypernetworks through gradients along the convergence path, enabling efficient learning of weight space transitions. This idea draws inspiration from generative models like diffusion models, consistency models, and flow-matching frameworks, which navigate high-dimensional latent spaces through gradient-guided pathways. Additionally, derivative-based supervision, used in Physics-Informed Neural Networks (PINNs) and Energy-Based Models (EBMs), informs the network through gradient directions, avoiding explicit output supervision. By adopting gradient-driven supervision, the proposed method ensures robust and stable training across diverse datasets, streamlining hypernetwork training while eliminating the computational bottlenecks of prior techniques.Researchers from the University of British Columbia and Qualcomm AI Research propose a novel method for training hypernetworks without relying on precomputed, per-sample optimized weights. Their approach introduces a Hypernetwork Field that models the entire optimization trajectory of task-specific networks rather than focusing on final converged weights. The hypernetwork estimates weights at any point along the training path by incorporating the convergence state as an additional input. This process is guided by matching the gradients of estimated weights with the original task gradients, eliminating the need for precomputed targets. Their method significantly reduces training costs and achieves competitive results in tasks like personalized image generation and 3D shape reconstruction.The Hypernetwork Field framework introduces a method to model the entire training process of task-specific neural networks, such as DreamBooth, without needing precomputed weights. It uses a hypernetwork, which predicts the parameters of the task-specific network at any given optimization step based on an input condition. The training relies on matching the gradients of the task-specific network to the hypernetworks trajectory, removing the need for repetitive optimization for each sample. This method enables accurate prediction of network weights at any stage by capturing the full training dynamics. It is computationally efficient and achieves strong results in tasks like personalized image generation.The experiments demonstrate the versatility of the Hypernetwork Field framework in two tasks: personalized image generation and 3D shape reconstruction. The method employs DreamBooth as the task network for image generation, personalizing images from CelebA-HQ and AFHQ datasets using conditioning tokens. It achieves faster training and inference than baselines, offering comparable or superior performance in metrics like CLIP-I and DINO. For 3D shape reconstruction, the framework predicts occupancy network weights using rendered images or 3D point clouds as inputs, effectively replicating the entire optimization trajectory. The approach reduces compute costs significantly while maintaining high-quality outputs across both tasks.In conclusion, Hypernetwork Fields presents an approach to training hypernetworks efficiently. Unlike traditional methods that require precomputed ground truth weights for each sample, this framework learns to model the entire optimization trajectory of task-specific networks. By introducing the convergence state as an additional input, Hypernetwork Fieldsestimatese the training pathway instead of only the final weights. A key feature is using gradient supervision to align the estimated and task network gradients, eliminating the need for pre-sample weights while maintaining competitive performance. This method is generalizable, reduces computational overhead, and holds the potential for scaling hypernetworks to diverse tasks and larger datasets.Check out the Paper. All credit for this research goes to the researchers of this project. Also,dont forget to follow us onTwitter and join ourTelegram Channel andLinkedIn Group. Dont Forget to join our60k+ ML SubReddit. Sana Hassan+ postsSana Hassan, a consulting intern at Marktechpost and dual-degree student at IIT Madras, is passionate about applying technology and AI to address real-world challenges. With a keen interest in solving practical problems, he brings a fresh perspective to the intersection of AI and real-life solutions. [Download] Evaluation of Large Language Model Vulnerabilities Report (Promoted)0 Comments 0 Shares 25 Views