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Categories: Biology: Molecular, Computer Science: General
Published Deciphering the molecular dynamics of complex proteins


Which structures do complex proteins adopt in solution? Biophysicists answer this question using the example of ubiquitin dimers as well as a new combination of high-resolution NMR spectroscopy and sophisticated computer simulations.
Published Sharing chemical knowledge between human and machine


Researchers have developed a platform that uses artificial neural networks to translate chemical structural formulae into machine-readable form. With this platform, they have created a tool with which this information from scientific publications can be automatically fed into databases. Until now, this had to be done literally by hand and was time-consuming.
Published Research team developing a nano-sized force sensor and improving high-precision microscopy technology


Recent research in cell biology highlights groundbreaking results. An international team of researchers have recently established a tool they developed to study the mechanics of the cell. The tool can be used to study the inner forces of the cell, for example, the stretching of the nuclear membrane. The microscopic force sensor, only about 0.00002 mm long, is constructed of exotic ingredients such as spider web protein parts, fluorescent proteins from jellyfish, and antibodies from alpaca. In addition, the multidisciplinary team of researchers has developed further the sensitivity of super-resolution microscopy technique.
Published 'Viral relicts' in the genome could fuel neurodegeneration



Genetic remnants of viruses that are naturally present in the human genome could affect the development of neurodegenerative diseases. Researchers come to this conclusion on the basis of studies on cell cultures.
Published Ancient metal cauldrons give us clues about what people ate in the Bronze Age



Archaeologists have long been drawing conclusions about how ancient tools were used by the people who crafted them based on written records and context clues. But with dietary practices, they have had to make assumptions about what was eaten and how it was prepared. A new study analyzed protein residues from ancient cooking cauldrons and found that the people of Caucasus ate deer, sheep, goats, and members of the cow family during the Maykop period (3700--2900 BCE).
Published Increasing legumes and reducing red meat is safe for bone health and protein intake



A study has demonstrated that the partial substitution of red and processed meat with pea- and faba bean -- based food products ensured sufficient intake of amino acids in the diet and did not negatively affect bone metabolism.
Published Quantum physicists simulate super diffusion on a quantum computer


Quantum physicists have successfully simulated super diffusion in a system of interacting quantum particles on a quantum computer. This is the first step in doing highly challenging quantum transport calculations on quantum hardware and, as the hardware improves over time, such work promises to shed new light in condensed matter physics and materials science.
Published Scientists reveal how sensory protein changes shape with nanometer resolution


The sensory receptor PIEZO1 changes shape in response to mechanical stimuli. The super high-resolution microscopy technology used in this discovery is a breakthrough in enabling protein structures to be studied within the cellular environment.
Published Magnonic computing: Faster spin waves could make novel computing systems possible


Research is underway around the world to find alternatives to our current electronic computing technology, as great, electron-based systems have limitations. A new way of transmitting information is emerging from the field of magnonics: instead of electron exchange, the waves generated in magnetic media could be used for transmission, but magnonics-based computing has been (too) slow to date. Scientists have now discovered a significant new method: When the intensity is increased, the spin waves become shorter and faster -- another step towards magnon computing.
Published Carbon-based quantum technology


Graphene nanoribbons have outstanding properties that can be precisely controlled. Researchers have succeeded in attaching electrodes to individual atomically precise nanoribbons, paving the way for precise characterization of the fascinating ribbons and their possible use in quantum technology.
Published Scientists discover novel way of reading data in antiferromagnets, unlocking their use as computer memory



Scientists have made a significant advance in developing alternative materials for the high-speed memory chips that let computers access information quickly and that bypass the limitations of existing materials. They have discovered a way that allows them to make sense of previously hard-to-read data stored in these alternative materials, known as antiferromagnets.
Published A roadmap to help AI technologies speak African languages


From text-generating ChatGPT to voice-activated Siri, artificial intelligence-powered tools are designed to aid our everyday life -- as long as you speak a language they support. These technologies are out of reach for billions of people who don't use English, French, Spanish or other mainstream languages, but researchers in Africa are looking to change that. Scientists now draw a roadmap to develop better AI-driven tools for African languages.
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 Quantum material exhibits 'non-local' behavior that mimics brain function


New research shows that electrical stimuli passed between neighboring electrodes can also affect non-neighboring electrodes. Known as non-locality, this discovery is a crucial milestone toward creating brain-like computers with minimal energy requirements.
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 AI transformation of medicine: Why doctors are not prepared


The success of artificial intelligence technologies depends largely on how physicians interpret and act upon a tool's risk predictions -- and that requires a unique set of skills that many are currently lacking, according to a new perspective article.
Published Modified virtual reality tech can measure brain activity


The research team at The University of Texas at Austin created a noninvasive electroencephalogram (EEG) sensor that they installed in a Meta VR headset that can be worn comfortably for long periods. The EEG measures the brain's electrical activity during the immersive VR interactions.
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 Denial of service threats detected thanks to asymmetric behavior in network traffic


Scientists have developed a better way to recognize denial-of-service internet attacks, improving detection by 90 percent.
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.