Showing 20 articles starting at article 181
< Previous 20 articles Next 20 articles >
Categories: Biology: Evolutionary, Engineering: Robotics Research
Published Robotic system feeds people with severe mobility limitations



Researchers have developed a robotic feeding system that uses computer vision, machine learning and multimodal sensing to safely feed people with severe mobility limitations, including those with spinal cord injuries, cerebral palsy and multiple sclerosis.
Published Generative AI that imitates human motion



Walking and running is notoriously difficult to recreate in robots. Now, a group of researchers has overcome some of these challenges by creating an innovative method that employs central pattern generators -- neural circuits located in the spinal cord that generate rhythmic patterns of muscle activity -- with deep reinforcement learning. The method not only imitates walking and running motions but also generates movements for frequencies where motion data is absent, enables smooth transition movements from walking to running, and allows for adapting to environments with unstable surfaces.
Published Limited adaptability makes freshwater bacteria vulnerable to climate change



Freshwater bacteria with small genomes frequently undergo prolonged periods of adaptive stagnation. Based on genomic analyses of samples from European lakes, researchers uncovered specific evolutionary strategies that shape these bacteria's lifestyles. Understanding the evolutionary dynamics of aquatic microbial communities is key to safeguarding ecosystem services.
Published Swarms of miniature robots clean up microplastics and microbes, simultaneously



When old food packaging, discarded children's toys and other mismanaged plastic waste break down into microplastics, they become even harder to clean up from oceans and waterways. These tiny bits of plastic also attract bacteria, including those that cause disease. Researchers describe swarms of microscale robots (microrobots) that captured bits of plastic and bacteria from water. Afterward, the bots were decontaminated and reused.
Published Chimps learn and improve tool-using skills even as adults, study finds



Chimpanzees continue to learn and hone their skills well into adulthood, a capacity that might be essential for the evolution of complex and varied tool use, according to a new study.
Published Engineers develop innovative microbiome analysis software tools



Engineers have developed two new graph-based computational tools for tracking genomic variation within microbiomes.
Published Caterbot? Robatapillar? It crawls with ease through loops and bends



Engineers created a catapillar-shaped robot that splits into segments and reassembles, hauls cargo, and crawls through twisting courses.
Published Genomes of 'star algae' shed light on origin of plants



Land plants cover the surface of our planet and often tower over us. They form complex bodies with multiple organs that consist of a broad range of cell types. Developing this morphological complexity is underpinned by intricate networks of genes, whose coordinated action shapes plant bodies through various molecular mechanisms. All of these magnificent forms burst forth from a one-off evolutionary event: when plants conquered Earth's surface, known as plant terrestrialization.
Published Stretchable e-skin could give robots human-level touch sensitivity



A stretchy electronic skin could equip robots and other devices with the same softness and touch sensitivity as human skin, opening up new possibilities to perform tasks that require a great deal of precision and control of force.
Published Random robots are more reliable



New algorithm encourages robots to move more randomly to collect more diverse data for learning. In tests, robots started with no knowledge and then learned and correctly performed tasks within a single attempt. New model could improve safety and practicality of self-driving cars, delivery drones and more.
Published Activity in a room stirs up nanoparticles left over from consumer sprays



Common household products containing nanoparticles -- grains of engineered material so miniscule they are invisible to the eye -- could be contributing to a new form of indoor air pollution, according to a new study.
Published Researchers parse oddity of distantly related bats in Solomon Islands that appear identical



A study of body size in leaf-nosed bats of the Solomon Islands has revealed surprising genetic diversity among nearly indistinguishable species on different islands.
Published Unlocking the genetic mysteries behind plant adaptation: New insights into the evolution of a water-saving trait in the pineapple family (bromeliaceae)



Researchers have achieved a breakthrough in understanding how genetic drivers influence the evolution of a specific photosynthesis mechanism in Tillandsia (air plants). This sheds light on the complex actions that cause plant adaptation and ecological diversity.
Published Trotting robots reveal emergence of animal gait transitions



A four-legged robot trained with machine learning has learned to avoid falls by spontaneously switching between walking, trotting, and pronking -- a milestone for roboticists as well as biologists interested in animal locomotion.
Published Scientists develop strong yet reusable adhesive from smart materials



Scientists have developed a smart, reusable adhesive more than ten times stronger than a gecko's feet adhesion, pointing the way for development of reusable superglue and grippers capable of holding heavy weights across rough and smooth surfaces. The research team found a way to maximize the adhesion of the smart adhesives by using shape-memory polymers, which can stick and detach easily when needed simply by heating them. This smart adhesive can support extremely heavy weights, opening new possibilities for robotic grippers that allow humans to scale walls effortlessly, or climbing robots that can cling onto ceilings for survey or repair applications.
Published Surprising evolutionary pattern in yeast study



Research study reports intriguing findings made through innovative artificial intelligence analysis about yeasts -- small fungi that are key contributors to biotechnology, food production, and human health. These findings on simple yeast organisms not only challenge widely accepted ideas about yeast evolution, but also provides access to an incredibly rich yeast analysis dataset that could have major implications for future evolutionary biology and bioinformatics research for years to come.
Published AI deciphers new gene regulatory code in plants and makes accurate predictions for newly sequenced genomes



Elucidating the relationship between the sequences of non-coding regulatory elements and their target genes is key to understanding gene regulation and its variation between plant species and ecotypes. Now, an international research team developed deep learning models that link gene sequence data with mRNA copy number for several plant species and predicted the regulatory effect of gene sequence variation.
Published Robotic nerve 'cuffs' could help treat a range of neurological conditions



Researchers have developed tiny, flexible devices that can wrap around individual nerve fibers without damaging them. The researchers combined flexible electronics and soft robotics techniques to develop the devices, which could be used for the diagnosis and treatment of a range of disorders, including epilepsy and chronic pain, or the control of prosthetic limbs.
Published These jacks-of-all-trades are masters, too: Yeast study helps answer age-old biology question



The results suggest that internal -- not external -- factors are the primary drivers of variation in the types of carbon yeasts can eat, and the researchers found no evidence that metabolic versatility, or the ability to eat different foods, comes with any trade-offs. In other words, some yeasts are jacks-of-all-trades and masters of each.
Published A shortcut for drug discovery



For most human proteins, there are no small molecules known to bind them chemically (so called 'ligands'). Ligands frequently represent important starting points for drug development but this knowledge gap critically hampers the development of novel medicines. Researchers at CeMM, in a collaboration with Pfizer, have now leveraged and scaled a method to measure the binding activity of hundreds of small molecules against thousands of human proteins. This large-scale study revealed tens of thousands of ligand-protein interactions that can now be explored for the development of chemical tools and therapeutics. Moreover, powered by machine learning and artificial intelligence, it allows unbiased predictions of how small molecules interact with all proteins present in living human cells. These groundbreaking results have been published in the journal Science (DOI: 10.1126/science.adk5864), and all generated data and models are freely available for the scientific community.