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Categories: Chemistry: Inorganic Chemistry, Computer Science: Artificial Intelligence (AI)
Published AI recognizes athletes' emotions



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.
Published Novel method for measuring nano/microplastic concentrations in soil using spectroscopy



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.
Published Golden ball mills as green catalysts



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.
Published Reduction of esters by a novel photocatalyst



A ubiquitous compound, called ester can be broken down to produce desirable alcohols and other chemicals for use across industries including pharmaceuticals and cosmetics, but the process can be costly, both financially and in terms of the environment. Researchers developed a novel photocatalyst 'N-BAP.' When irradiated with blue light, the photocatalyst reduces esters in the presence of oxalate, a negatively charged molecule found widely in nature, resulting in the desired alcohols.
Published Researchers use large language models to help robots navigate



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.
Published A liquid crystal source of photon pairs



Spontaneous parametric down-conversion (SPDC), as a source of entangled photons, is of great interest for quantum physics and quantum technology, but so far it could be only implemented in solids. Researchers have demonstrated, for the first time, SPDC in a liquid crystal. The results open a path to a new generation of quantum sources: efficient and electric-field tunable.
Published Self-assembling and disassembling swarm molecular robots via DNA molecular controller



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.
Published Scientists preserve DNA in an amber-like polymer



With their 'T-REX' method, researchers developed a glassy, amber-like polymer that can be used for long-term storage of DNA, such as entire human genomes or digital files such as photos.
Published New technique improves AI ability to map 3D space with 2D cameras



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.
Published A 'liquid battery' advance



A team aims to improve options for renewable energy storage through work on an emerging technology -- liquids for hydrogen storage.
Published Robot radiotherapy could improve treatments for eye disease



Researchers have successfully used a new robot system to improve treatment for debilitating eye disease.
Published Towards a new era in flexible piezoelectric sensors for both humans and robots



Flexible piezoelectric sensors are essential to monitor the motions of both humans and humanoid robots. However, existing designs are either are costly or have limited sensitivity. In a recent study, researchers tackled these issues by developing a novel piezoelectric composite material made from electrospun polyvinylidene fluoride nanofibers combined with dopamine. Sensors made from this material showed significant performance and stability improvements at a low cost, promising advancements in medicine, healthcare, and robotics.
Published Uncovering the nature of emergent magnetic monopoles



To understand the unique physical phenomena associated with the properties of magnetic hedgehogs and antihedgehogs, which behave as virtual magnetic monopoles and antimonopoles respectively, it is essential to study their intrinsic excitations. In a new study, researchers revealed the dynamical nature of collective excitation modes in hedgehog lattices in itinerant chiral magnets. Their findings serve as the foundation for studying the dynamics of emergent magnetic monopoles in magnets.
Published AI-powered simulation training improves human performance in robotic exoskeletons



Researchers have demonstrated a new method that leverages artificial intelligence (AI) and computer simulations to train robotic exoskeletons to autonomously help users save energy while walking, running and climbing stairs.
Published Female AI 'teammate' generates more participation from women



An artificial intelligence-powered virtual teammate with a female voice boosts participation and productivity among women on teams dominated by men, according to new research.
Published 3D-printed mini-actuators can move small soft robots, lock them into new shapes



Researchers have demonstrated miniature soft hydraulic actuators that can be used to control the deformation and motion of soft robots that are less than a millimeter thick. The researchers have also demonstrated that this technique works with shape memory materials, allowing users to repeatedly lock the soft robots into a desired shape and return to the original shape as needed.
Published Researchers harness AI for autonomous discovery and optimization of materials



Today, researchers are developing ways to accelerate discovery by combining automated experiments, artificial intelligence and high-performance computing. A novel tool that leverages those technologies has demonstrated that AI can influence materials synthesis and conduct associated experiments without human supervision.
Published Researchers create realistic virtual rodent



To help probe the mystery of how brains control movement, scientists have created a virtual rat with an artificial brain that can move around just like a real rodent. The researchers found that activations in the virtual control network accurately predicted neural activity measured from the brains of real rats producing the same behaviors.
Published Trash-sorting robot mimics complex human sense of touch



Researchers are breaking through the difficulties of robotic recognition of various common, yet complex, items. Their layered sensor is equipped with material detection at the surface and pressure sensitivity at the bottom, with a porous middle layer sensitive to thermal changes. An efficient cascade classification algorithm rules out object types in order, from easy to hard, starting with simple categories like empty cartons before moving on to orange peels or scraps of cloth.
Published Semiconductor doping and electronic devices: Heating gallium nitride and magnesium forms superlattice



A study revealed that a simple thermal reaction of gallium nitride with metallic magnesium results in the formation of a distinctive superlattice structure. This represents the first time researchers have identified the insertion of 2D metal layers into a bulk semiconductor. By carefully observing materials through various cutting-edge characterization techniques, the researchers uncovered new insights into the process of semiconductor doping and elastic strain engineering.