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Categories: Ecology: Trees, Engineering: Robotics Research
Published AI's memory-forming mechanism found to be strikingly similar to that of the brain



An interdisciplinary team consisting of researchers has revealed a striking similarity between the memory processing of artificial intelligence (AI) models and the hippocampus of the human brain. This new finding provides a novel perspective on memory consolidation, which is a process that transforms short-term memories into long-term ones, in AI systems.
Published Cognitive strategies for augmenting the body with a wearable, robotic arm



Scientists show that breathing may be used to control a wearable extra robotic arm in healthy individuals, without hindering control of other parts of the body.
Published Trees in wetter regions more sensitive to drought



This holiday season brings surprising news about your Christmas tree. Scientists just discovered that globally, trees growing in wetter regions are more sensitive to drought. That means if your tree hails from a more humid clime, it's likely been spoiled for generations.
Published How forests smell -- a risk for the climate?



Plants emit odors for a variety of reasons, such as to communicate with each other, to deter herbivores or to respond to changing environmental conditions. An interdisciplinary team of researchers carried out a study to investigate how biodiversity influences the emission of these substances. For the first time, they were able to show that species-rich forests emit less of these gases into the atmosphere than monocultures. It was previously assumed that species-rich forests release more emissions. The Leipzig team has now been able to disprove this assumption experimentally.
Published Twenty-year study confirms California forests are healthier when burned -- or thinned



A 20-year experiment in the Sierra Nevada confirms that different forest management techniques -- prescribed burning, restoration thinning or a combination of both -- are effective at reducing the risk of catastrophic wildfire in California. These treatments also improve forest health, making trees more resilient to stressors like drought and bark beetles, and they do not negatively impact plant or wildlife biodiversity within individual tree stands, the research found.
Published Nature and animal emojis don't accurately represent natural biodiversity



The current emoji library doesn't accurately represent the 'tree of life' and the breadth of biodiversity seen in nature according to a new analysis. A team of conservation biologists categorized emojis related to nature and animals and mapped them onto the phylogenetic tree of life. They found that animals are well represented by the current emoji catalog, whereas plants, fungi, and microorganisms are poorly represented. Within the animal kingdom, vertebrates were over-represented while arthropods were underrepresented with respect to their actual biodiversity.
Published Engineers design a robotic replica of the heart's right chamber



Engineers developed a robotic replica of the heart's right ventricle, which mimics the beating and blood-pumping action of live hearts. The device could be used for studying right ventricle disorders and testing devices and therapies aimed at treating those disorders.
Published Artificial intelligence makes gripping more intuitive



Artificial hands can be operated via app or with sensors placed in the muscles of the forearm. New research shows: a better understanding of muscle activity patterns in the forearm supports a more intuitive and natural control of artificial limbs. This requires a network of 128 sensors and artificial intelligence based techniques.
Published Exposure to soft robots decreases human fears about working with them



Seeing robots made with soft, flexible parts in action appears to lower people's anxiety about working with them or even being replaced by them. A study found that watching videos of a soft robot working with a person at picking and placing tasks lowered the viewers' safety concerns and feelings of job insecurity. This was true even when the soft robot was shown working in close proximity to the person. This finding shows soft robots hold a potential psychological advantage over rigid robots made of metal or other hard materials.
Published Underwater vehicle AI model could be used in other adaptive control systems



Unmanned Underwater Vehicles (UUVs) are used around the world to conduct difficult environmental, remote, oceanic, defense and rescue missions in often unpredictable and harsh conditions. A new study has now used a novel bio-inspired computing artificial intelligence solution to improve the potential of UUVs and other adaptive control systems to operate more reliability in rough seas and other unpredictable conditions.
Published Snail-inspired robot could scoop ocean microplastics



Inspired by a small and slow snail, scientists have developed a robot protype that may one day scoop up microplastics from the surfaces of oceans, seas and lakes.
Published Crocodile family tree mapped: New light shed on croc evolution



Around 250 million years ago, 700 species of reptiles closely related to the modern-day crocodile roamed the earth, now new research reveals how a complex interplay between climate change, species competition and habitat can help explain why just 23 species of crocodile survive today.
Published A color-based sensor to emulate skin's sensitivity



In a step toward more autonomous soft robots and wearable technologies, researchers have created a device that uses color to simultaneously sense multiple mechanical and temperature stimuli.
Published Public gardens contribute to invasives problem



Some nonnative plants cultivated in public gardens or arboretums are escaping to become invasive in wild forests.
Published Researchers develop novel deep learning-based detection system for autonomous vehicles



Autonomous vehicles require object detection systems to navigate traffic and avoid obstacles on the road. However, current detection methods often suffer from diminished detection capabilities due to bad weather, unstructured roads, or occlusion. Now, a team of researchers has developed a novel Internet-of-Things-enabled deep learning-based end-to-end 3D object detection system with improved detection capabilities even under unfavorable conditions. This study marks a significant step in autonomous vehicle object detection technology.
Published 600 years of tree rings reveal climate risks in California



The San Joaquin Valley in California has experienced vast variability in climate extremes, with droughts and floods that were more severe and lasted longer than what has been seen in the modern record, according to a new study of 600 years of tree rings from the valley.
Published Blasts to clear World War II munitions could contaminate the ocean



World War II concluded decades ago, but live mines lurking on the ocean floor still pose threats, potentially spewing unexpected geysers or releasing contaminants into the water. Experts conduct controlled explosions to clear underwater munitions, but concerns have arisen over the environmental impacts from these blasts. New results show that the contamination produced by detonation depends on the blast type, with weaker explosions leaving behind more potentially toxic residues.
Published Nearly 400,000 new compounds added to open-access materials database



New technology often calls for new materials -- and with supercomputers and simulations, researchers don't have to wade through inefficient guesswork to invent them from scratch.
Published Network of robots can successfully monitor pipes using acoustic wave sensors



An inspection design method and procedure by which mobile robots can inspect large pipe structures has been demonstrated with the successful inspection of multiple defects on a three-meter long steel pipe using guided acoustic wave sensors.
Published How do you make a robot smarter? Program it to know what it doesn't know



Engineers have come up with a new way to teach robots to know when they don't know. The technique involves quantifying the fuzziness of human language and using that measurement to tell robots when to ask for further directions. Telling a robot to pick up a bowl from a table with only one bowl is fairly clear. But telling a robot to pick up a bowl when there are five bowls on the table generates a much higher degree of uncertainty -- and triggers the robot to ask for clarification.