Hanan Kalaz

New machine learning framework enhances precision and efficiency in metal 3D printing, advancing sustainable manufacturing

Researchers are leveraging machine learning to improve additive manufacturing, also commonly known as 3D printing. The team introduces a new framework they’ve dubbed the Accurate Inverse process optimization framework in laser Directed Energy Deposition (AIDED). The new AIDED framework optimizes laser 3D printing to enhance the accuracy and robustness of the finished product. This advancement

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Researchers create eco-friendly detergent from wood fiber and corn protein

From laundry detergent to dishwasher tablets, cleaning products are an indispensable part of life. Yet the chemicals that make these products so effective can be difficult to break down or could even trigger ecosystem-altering algal blooms. Now, researchers have addressed those challenges with an environmentally compatible detergent made of tiny wood fibers and corn protein

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Device enables direct communication among multiple quantum processors

Researchers developed a scalable interconnect that facilitates all-to-all communication among many quantum processor modules by enabling each to send and receive quantum information on demand in a user-specified direction. They used the interconnect to demonstrate remote entanglement, a type of correlation that is key to creating a powerful, distributed network of quantum processors.

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VR study reveals how pain and fear weaken sense of body ownership

A study found that when people were told to imagine their virtual bodies in pain, their brains resisted the illusion of ownership. Their findings could provide insights into why some people may struggle with feeling connected to their own bodies, particularly in contexts involving depersonalization or negative physical states.

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New AI tool generates high-quality images faster than state-of-the-art approaches

Researchers developed a hybrid AI approach that can generate realistic images with the same or better quality than state-of-the-art diffusion models, but that runs about nine times faster and uses fewer computational resources. The tool uses an autoregressive model to quickly capture the big picture and then a small diffusion model to refine the details

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