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Categories: Mathematics: Modeling, Offbeat: Earth and Climate
Published Artificial intelligence designs advanced materials


Scientists pioneer a new machine learning model for corrosion-resistant alloy design.
Published Tool finds bias in state-of-the-art generative AI model


Researchers introduce a new tool to measure bias in text-to-image AI generation models, which they have used to quantify bias in the state-of-the-art model Stable Diffusion.
Published Tattoo technique transfers gold nanopatterns onto live cells


For now, cyborgs exist only in fiction, but the concept is becoming more plausible as science progresses. And now, researchers are reporting that they have developed a proof-of-concept technique to 'tattoo' living cells and tissues with flexible arrays of gold nanodots and nanowires. With further refinement, this method could eventually be used to integrate smart devices with living tissue for biomedical applications, such as bionics and biosensing.
Published Turning ChatGPT into a 'chemistry assistant'


Developing new materials requires significant time and labor, but some chemists are now hopeful that artificial intelligence (AI) could one day shoulder much of this burden. In a new study, a team prompted a popular AI model, ChatGPT, to perform one particularly time-consuming task: searching scientific literature. With that data, they built a second tool, a model to predict experimental results.
Published Drops of seawater contain traces of an ancient world



New research links chemical changes in seawater to volcanic activity and changes.
Published New model reduces bias and enhances trust in AI decision-making and knowledge organization


Researchers have developed a new explainable artificial intelligence (AI) model to reduce bias and enhance trust and accuracy in machine learning-generated decision-making and knowledge organization.
Published Butterflies can remember where things are over sizeable spaces



Heliconius butterflies are capable of spatial learning, scientists have discovered. The results provide the first experimental evidence of spatial learning in any butterfly or moth species.
Published Self-supervised AI learns physics to reconstruct microscopic images from holograms


Researchers have unveiled an artificial intelligence-based model for computational imaging and microscopy without training with experimental objects or real data. The team introduced a self-supervised AI model nicknamed GedankenNet that learns from physics laws and thought experiments. Informed only by the laws of physics that universally govern the propagation of electromagnetic waves in space, the researchers taught their AI model to reconstruct microscopic images using only random artificial holograms -- synthesized solely from 'imagination' without relying on any real-world experiments, actual sample resemblances or real data.
Published How good is that AI-penned radiology report?


New study identifies concerning gaps between how human radiologists score the accuracy of AI-generated radiology reports and how automated systems score them. Researchers designed two novel scoring systems that outperform current automated systems that evaluate the accuracy of AI narrative reports. Reliable scoring systems that accurately gauge the performance of AI models are critical for ensuring that AI continues to improve and that clinicians can trust them.
Published Deep learning for new protein design


Deep learning methods have been used to augment existing energy-based physical models in 'do novo' or from-scratch computational protein design, resulting in a 10-fold increase in success rates verified in the lab for binding a designed protein with its target protein. The results will help scientists design better drugs against diseases like cancer and COVID-19.
Published New method simplifies the construction process for complex materials


A new technique incorporates many different building blocks of cellular metamaterials into one unified graph-based representation. This can be used to make a user-friendly interface that can quickly and easily model metamaterials, edit the structures, and simulate their properties.
Published Scientists uncover a surprising connection between number theory and evolutionary genetics


An interdisciplinary team of mathematicians, engineers, physicists, and medical scientists has uncovered an unexpected link between pure mathematics and genetics, that reveals key insights into the structure of neutral mutations and the evolution of organisms.
Published Energy-storing supercapacitor from cement, water, black carbon


Engineers have created a 'supercapacitor' made of ancient, abundant materials, that can store large amounts of energy. Made of just cement, water, and carbon black (which resembles powdered charcoal), the device could form the basis for inexpensive systems that store intermittently renewable energy, such as solar or wind energy.
Published Sun 'umbrella' tethered to asteroid might help mitigate climate change



Earth is rapidly warming and scientists are developing a variety of approaches to reduce the effects of climate change. An astronomer has proposed a novel approach -- a solar shield to reduce the amount of sunlight hitting Earth, combined with a tethered, captured asteroid as a counterweight. Engineering studies using this approach could start now to create a workable design that could mitigate climate change within decades.
Published Researchers successfully train a machine learning model in outer space for the first time



Scientists have trained a machine learning model in outer space, on board a satellite. This achievement could revolutionize the capabilities of remote-sensing satellites by enabling real-time monitoring and decision making for a range of applications.
Published 'Time-traveling' pathogens in melting permafrost pose likely risk to environment



Ancient pathogens that escape from melting permafrost have real potential to damage microbial communities and might potentially threaten human health, according to a new study.
Published Bacteria as Blacksmiths



A hot bath is a place to relax. For scientists, it is also where molecules or tiny building blocks meet to form materials. Researchers take it to the next level and use the energy of swimming bacteria to forge materials. A recent study shows us how this works and the potential sustainability benefits that may arise from this innovative approach.
Published A simpler method for learning to control a robot


A new machine-learning technique can efficiently learn to control a robot, leading to better performance with fewer data.
Published Egg 'signatures' will allow drongos to identify cuckoo 'forgeries' almost every time, study finds



Egg 'signatures' will allow drongos to identify cuckoo 'forgeries' almost every time, study finds. African cuckoos may have met their match with the fork-tailed drongo, which scientists predict can detect and reject cuckoo eggs from their nest on almost every occasion, despite them on average looking almost identical to drongo eggs.
Published AI predicts the work rate of enzymes


Enzymes play a key role in cellular metabolic processes. To enable the quantitative assessment of these processes, researchers need to know the so-called 'turnover number' (for short: kcat) of the enzymes. A team of bioinformaticians now describes a tool for predicting this parameter for various enzymes using AI methods.