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Supermarket Together puts you in charge of a store, and your job is to make sure everything runs like clockwork. But things are never easy when you're doing it on your own. It doesn't take long for things to get out of hand when you're handling everything from the cashier's desk to restocking and ordering products.

The Elbaf arc of One Piece is well and truly underway and this segment of the story is going to be absolutely massive for a multitude of reasons. For one, this is the first major Arc of the Final Saga following Egghead, which, although absolutely massive in its own way, was only the gateway to even greater things. Secondly, this arc takes fans one step closer to finding out the truth about the One Piece World, and seeing Luffy attain the treasure that is the One Piece.

There are many games that boast a staggering amount of different endings. S.T.A.L.K.E.R. 2: Heart of Chornobyl may not have a lengthy list of different endings, but there are 4 different possible outcomes before the credits start to roll.

Oukitel WP200 Pro features a clever modular system, allowing for heightened personalization.

Dark web identity farms exploit genuine credentials, revealing the alarming rise of voluntary digital identity compromises.

If youre a regular seeing person, you probably dont have an issue when it comes to recognizing the cutlery placed on the table, whether youre eating in or dining out. But for those that are visually impaired, it can sometimes be a challenge. You cant really recognize the cutlery by touching the handle. You need to touch the head but it can lead to some hygiene issues.Designer: Ho Hyun LimTactil is the concept for a cutlery set that is created specifically for those that are visually impaired. The problem it wants to solve is to let people know what cutlery they are picking up just by touching the handle, not needing to touch the head of the spoon, fork, or knife to know what they are without risking getting infections. The basic idea is to add tactile lines to the back of the cutlery which will give intuitive feedback to the user. The character lines on the handle are designed according to the utensil it is. The spoon has a gently raised curve since it is used to scoop food. The form meanwhile has indented holes since it mostly does the piercing action. Lastly, the knife has a sharp, linear pattern to symbolize the slicing motion you do with it.The three are of course the most basic cutlery you would need. Now the challenge would be if youre at a multiple-course dinner where you need to use more kinds of cutlery. There could of course be more character lines but also more things for people to memorize. The post Tactil concept helps visually impaired recognize cutlery easily first appeared on Yanko Design.

Bana Gear Studios is one DIYer who pushes the envelope of LEGO Technic creations beyond the grasp of the average LEGO fan. Most of his builds are works of complicated gear-building techniques that materialize after much hit and trial. While most of us would give up at the seemingly unscalable hurdle, the passionate DIYer stops at nothing.His latest creation highlights his love for omnidirectional treadmills, and the first thing that comes to mind is the Disney Holotile. While the former employs disks tilting at different angles, the latter rotates them instead. Thats what makes this unique LEGO Technic different.Designer: Banana Gear StudiosHis first-ever DIY came through a year ago, and even though it was very complex and large, the community of passionate builders loved it. Between that time and the creation of this intricate build, he has put together some interesting LEGO creations. The unique design of tilting rotating discs really took his attention and he wanted to make one in his style. The initial hurdle was that the design could only move around large objects (that too not with maximum precision) supported by large discs.After a lot of tinkering and brainstorming, the DIYer improved on the initial design when a light bulb moment happened as one of the channels dedicated followers suggested a fix. On the way through implementing the donor idea of using LEGO net to secure the long gears in place and for their synchronized moment, the final design came through as a marvel of engineering in its rights.The YouTuber presses on the fact that the LEGO treadmill has some similarities to the Holotile but in no way is an emulation of the design. Fundamentally the creation has a very different working principle, and I totally agree. It uses discs that can be titled at an angle whereas the Holotile has fixed angle tiles with a base that rotates. Anyway, I just loved the amount of thinking put into this LEGO treadmills build.The post This omni-directional LEGO treadmill is a one-off build that deserves any geeks desk space first appeared on Yanko Design.

At CES 2025, Australia-based Espresso Displays has expanded its product portfolio with a new portable monitor aimed at the mobile professional.Espresso Displays has a new pro-grade portable monitor on offerThe new espresso 15 Pro is a 15.6-inch USB-C monitor with 550 nits to brightness and 4K resolution. It has dual USB-C input ports and measures in at only 9mm thick.It works as a touchscreen for both Windows and macOS-based machines. The brand also touts compatibility with iPhone, iPad, and Samsung DeX devices. Continue Reading on AppleInsider | Discuss on our Forums

Latent diffusion models are advanced techniques for generating high-resolution images by compressing visual data into a latent space using visual tokenizers. These tokenizers reduce computational demands while retaining essential details. However, such models suffer from a critical challenge: increasing the dimensions of the token feature increases reconstruction quality but decreases image generation quality. It thus creates an optimization dilemma in which achieving a detailed reconstruction compromises the ability to generate visually appealing images.Existing methods need much more computational power, which creates limitations. This presents difficulties in achieving both detailed reconstruction and high-quality image generation efficiently. Visual tokenizers like VAEs, VQVAE, and VQGAN compress visual data but struggle with poor codebook utilization and inefficient optimization in larger latent spaces. Continuous VAE diffusion models improve reconstruction but harm generation performance, increasing costsmethods like MAGVIT-v2 and REPA attempt to address these issues but add complexity without resolving core trade-offs. Diffusion Transformers, widely used for scalability, also face slow training speeds despite enhancements like SiT or MaskDiT. These tokenizers and latent spaces inefficiencies remain a key barrier to effectively integrating generative and reconstruction tasks.To address optimization challenges in latent diffusion models, researchers from Huazhong University of Science and Technology proposed the VA-VAE method, which integrates a Vision Foundation model alignment loss (VF Loss) to enhance the training of high-dimensional visual tokenizers. This framework regularizes the latent space with element and pair-wise similarities, making it more aligned with the Vision Foundation model. VF Loss includes marginal cosine similarity loss and marginal distance matrix similarity loss, further improving alignment without limiting the latent spaces capacity. As a result, the framework enhances reconstruction and generation performance by addressing the intensity concentration in latent space distributions.Researchers integrated VF loss within the latent diffusion system to improve reconstruction and generation performance by using LightningDiT, optimizing convergence and scalability. The VF loss, particularly with foundation models like DINOv2, accelerated convergence, with a speedup of up to 2.7x in training time. Experiments with different configurations, such as tokenizers with and without VF loss, showed that VF loss notably improved performance, especially in high-dimensional tokenizers, and bridged the gap between generative performance and reconstruction. The loss of VF also improved scalability, optimizing models ranging from 0.1B to 1.6B parameters so that high-dimensional tokenizers kept strong scalability without significant performance loss. The results showed the methods effectiveness in improving generative performance and convergence speed and minimizing cfg dependency.In conclusion, the proposed framework VA-VAE and LightningDiT address the optimization challenges in latent diffusion systems. VA-VAE aligns the latent space with vision models, improving convergence and uniformity, while LightningDiT accelerates training. The approach achieves FID on ImageNet with a 21.8 speedup. This work offers a foundation for future research, enabling further optimization and scalability improvements in generative models with reduced training costs.Check out the Paper and GitHub Page. 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. Divyesh Vitthal Jawkhede+ postsDivyesh is a consulting intern at Marktechpost. He is pursuing a BTech in Agricultural and Food Engineering from the Indian Institute of Technology, Kharagpur. He is a Data Science and Machine learning enthusiast who wants to integrate these leading technologies into the agricultural domain and solve challenges. Follow us on X (Twitter) to get regular AI Research and Dev Updates here...