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Categories: Computer Science: Artificial Intelligence (AI), Engineering: Nanotechnology

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A new study uncovers the remarkable potential of ultrafast lasers that could provide innovative solutions in 2D materials processing for many technology developers such as high-speed photodetectors, flexible electronics, biohybrids, and next-generation solar cells.

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Our cells and the machinery inside them are engaged in a constant dance. This dance involves some surprisingly complicated choreography within the lipid bilayers that comprise cell membranes and vesicles -- structures that transport waste or food within cells. In a recent paper, researchers shed some light on how these vesicles self-assemble, knowledge that could help scientists design bio-inspired vesicles for drug-delivery or inspire them to create life-like synthetic materials.

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Researchers have created a new, cost-effective training technique for artificial intelligence systems that aims to make them less socially biased.

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Computers have come so far in terms of their power and potential, rivaling and even eclipsing human brains in their ability to store and crunch data, make predictions and communicate. But there is one domain where human brains continue to dominate: energy efficiency.

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Researchers have found a way to bind engineered skin tissue to the complex forms of humanoid robots. This brings with it potential benefits to robotic platforms such as increased mobility, self-healing abilities, embedded sensing capabilities and an increasingly lifelike appearance. Taking inspiration from human skin ligaments, the team included special perforations in a robot face, which helped a layer of skin take hold.

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Meet CARMEN, short for Cognitively Assistive Robot for Motivation and Neurorehabilitation -- a small, tabletop robot designed to help people with mild cognitive impairment (MCI) learn skills to improve memory, attention, and executive functioning at home.

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Meet SQUID, a new computational tool. Compared with other genomic AI models, SQUID is more consistent, reduces background noise, and can yield better predictions regarding critical mutations. The new system aims to bring scientists closer to their findings' true medical implications.

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Shooting a movie in the lab requires special equipment. Especially when the actors are molecules -- invisible to the naked eye -- reacting with each other. 'Imagine trying to film tiny lava flows during a volcanic eruption. Your smartphone camera wouldn't be up to the job.

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A new way to teach artificial intelligence (AI) to understand human line drawings -- even from non-artists -- has been developed.

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Using computer-assisted neural networks, researchers have been able to accurately identify affective states from the body language of tennis players during games. For the first time, they trained a model based on artificial intelligence (AI) with data from actual games. Their study demonstrates that AI can assess body language and emotions with accuracy similar to that of humans. However, it also points to ethical concerns.

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Current techniques for measuring nano/microplastic (N/MP) concentrations in soil require the soil organic matter content to be separated and have limited resolution for analyzing N/MPs sized <1 m. Therefore, researchers have developed a novel yet simple method to measure N/MP concentration in different soil types using spectroscopy at two wavelengths. This method does not require the soil to be separated in order to detect the N/MPs and can accurately quantify N/MPs regardless of their size.

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A gold-coated milling vessel for ball mills proved to be a real marvel: without any solvents or environmentally harmful chemicals, the team was able to use it to convert alcohols into aldehydes. The catalytic reaction takes place at the gold surface and is mechanically driven. The vessel can be reused multiple times. 'This opens up new prospects for the use of gold in catalysis and shows how traditional materials can contribute to solving modern environmental problems in an innovative way,' says Borchardt.

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Researchers have developed a new nanomedicine therapy that delivers anticancer drugs to lung cancer cells and enhances the immune system's ability to fight cancer. The team showed promising results for the new therapy in cancer cells in the lab and in mouse lung tumor models, with potential applications for improving care and outcomes for patients with tumors that have failed to respond to traditional immunotherapy.

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A technique can plan a trajectory for a robot using only language-based inputs. While it can't outperform vision-based approaches, it could be useful in settings that lack visual data to use for training.

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Researchers have succeeded in developing a DNA-based molecular controller. Crucially, this controller enables the autonomous assembly and disassembly of molecular robots, as opposed to manually directing it.

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Researchers have developed a technique that allows artificial intelligence (AI) programs to better map three-dimensional spaces using two-dimensional images captured by multiple cameras. Because the technique works effectively with limited computational resources, it holds promise for improving the navigation of autonomous vehicles.

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Researchers have engineered nanosized cubes that spontaneously form a two-dimensional checkerboard pattern when dropped on the surface of water. The work presents a simple approach to create complex nanostructures through a technique called self-assembly.

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Engineers have developed microscopic robots, known as microrobots, capable of swimming through the lungs to deliver cancer-fighting medication directly to metastatic tumors. This approach has shown promise in mice, where it inhibited the growth and spread of tumors that had metastasized to the lungs, thereby boosting survival rates compared to control treatments.

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Researchers have successfully used a new robot system to improve treatment for debilitating eye disease.

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A team has developed printable, highly efficient light-emitting metasurfaces.