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Categories: Computer Science: Artificial Intelligence (AI), Offbeat: Paleontology and Archeology
Published Robot-phobia could exacerbate hotel, restaurant labor shortage



Using more robots to close labor gaps in the hospitality industry may backfire and cause more human workers to quit, according to a new study. The study, involving more than 620 lodging and food service employees, found that 'robot-phobia' -- specifically the fear that robots and technology will take human jobs -- increased workers' job insecurity and stress, leading to greater intentions to leave their jobs. The impact was more pronounced with employees who had real experience working with robotic technology. It also affected managers in addition to frontline workers.
Published Ancient arachnid from coal forests of America stands out for its spiny legs



The spiny legged 308-million-year-old arachnid Douglassarachne acanthopoda was discovered the famous Mazon Creek locality.
Published Large language models can't effectively recognize users' motivation, but can support behavior change for those ready to act



Large language model-based chatbots can't effectively recognize users' motivation when they are hesitant about making healthy behavior changes, but they can support those who are committed to take action, say researchers.
Published How did sabre-toothed tigers acquire their long upper canine teeth?



In a groundbreaking study an international team of scientists has investigated the evolutionary patterns behind the development of sabre teeth, with some unexpected results along the way.
Published Building a better sarcasm detector



Sarcasm is notoriously tricky to convey through text, and the subtle changes in tone that convey sarcasm often confuse computer algorithms as well, limiting virtual assistants and content analysis tools. So researchers have now developed a multimodal algorithm for improved sarcasm detection that examines multiple aspects of audio recordings for increased accuracy. They used two complementary approaches -- sentiment analysis using text and emotion recognition using audio -- for a more complete picture.
Published To optimize guide-dog robots, first listen to the visually impaired



What features does a robotic guide dog need? Ask the blind, say researchers. A new study identifies how to develop robot guide dogs with insights from guide dog users and trainers.
Published Animal brain inspired AI game changer for autonomous robots



A team of researchers has developed a drone that flies autonomously using neuromorphic image processing and control based on the workings of animal brains. Animal brains use less data and energy compared to current deep neural networks running on GPUs (graphic chips). Neuromorphic processors are therefore very suitable for small drones because they don't need heavy and large hardware and batteries. The results are extraordinary: during flight the drone's deep neural network processes data up to 64 times faster and consumes three times less energy than when running on a GPU. Further developments of this technology may enable the leap for drones to become as small, agile, and smart as flying insects or birds.
Published Robots' and prosthetic hands' sense of touch could be as fast as humans



Research could pave the way for a prosthetic hand and robot to be able to feel touch like a human hand. The technology could also be used to help restore lost functionality to patients after a stroke.
Published Iconic baobabs: The origin and long-distance travels of upside down trees



The research cracks the code on the iconic baobab tree's origin story, revealing their surprising origins in Madagascar and incredible long-distance dispersals to Africa and Australia. The study unveils how baobabs developed unique pollination mechanisms -- some attracting hawkmoths, others lemurs, and even bats -- showcasing remarkable evolutionary adaptations. The research sheds light on how climate change has shaped the baobab's distribution and diversification over millions of years, offering valuable insights for understanding plant responses to future environmental shifts.
Published First 'warm-blooded' dinosaurs may have emerged 180 million years ago



The ability to regulate body temperature, a trait all mammals and birds have today, may have evolved among some dinosaurs early in the Jurassic period about 180 million years ago. The new study looked at the spread of dinosaurs across different climates on Earth throughout the Mesozoic Era (the dinosaur era lasting from 230 to 66 million years ago), drawing on 1,000 fossils, climate models and the geography of the period, and dinosaurs' evolutionary trees.
Published Cats purrfectly demonstrate what it takes to trust robots



Would you trust a robot to look after your cat? New research suggests it takes more than a carefully designed robot to care for your cat, the environment in which they operate is also vital, as well as human interaction.
Published When consumers would prefer a chatbot over a person



Actually, sometimes consumers don't want to talk to a real person when they're shopping online, a new study suggests. In fact, what they really want is a chatbot that makes it clear that it is not human at all. In a new study, researchers found that people preferred interacting with chatbots when they felt embarrassed about what they were buying online -- items like antidiarrheal medicine or, for some people, skin care products.
Published A better way to control shape-shifting soft robots



A new machine-learning technique can train and control a reconfigurable soft robot that can dynamically change its shape to complete a task. The researchers also built a simulator that can evaluate control algorithms for shape-shifting soft robots.
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 New study finds AI-generated empathy has its limits



Conversational agents (CAs) such as Alexa and Siri are designed to answer questions, offer suggestions -- and even display empathy. However, new research finds they do poorly compared to humans when interpreting and exploring a user's experience.
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 Did a magnetic field collapse trigger the emergence of animals?



Researchers uncovered compelling evidence that Earth's magnetic field was in a highly unusual state when the macroscopic animals of the Ediacaran Period -- 635 to 541 million years ago -- diversified and thrived. Their study raises the question of whether these fluctuations in Earth's ancient magnetic field led to shifts in oxygen levels that may have been crucial to the proliferation of life forms millions of years ago.
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 Robots invited to help make wind turbine blades



Researchers have successfully leveraged robotic assistance in the manufacture of wind turbine blades, allowing for the elimination of difficult working conditions for humans and the potential to improve the consistency of the product.