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Categories: Computer Science: Artificial Intelligence (AI), Mathematics: General
Published Robot-phobia could exacerbate hotel, restaurant labor shortage
(via sciencedaily.com) Original source 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 Large language models can't effectively recognize users' motivation, but can support behavior change for those ready to act
(via sciencedaily.com) Original source 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 Scientists use generative AI to answer complex questions in physics
(via sciencedaily.com) Original source Researchers used generative AI to develop a physics-informed technique to classify phase transitions in materials or physical systems that is much more efficient than existing machine-learning approaches.
Published Building a better sarcasm detector
(via sciencedaily.com) Original source 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
(via sciencedaily.com) Original source 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
(via sciencedaily.com) Original source 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
(via sciencedaily.com) Original source 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 Century of statistical ecology reviewed
(via sciencedaily.com) Original source A special review examines highly-cited papers in statistical ecology. The review, which covers a century of research, details how models and concepts have evolved alongside increasing computational power.
Published Cats purrfectly demonstrate what it takes to trust robots
(via sciencedaily.com) Original source 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
(via sciencedaily.com) Original source 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
(via sciencedaily.com) Original source 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
(via sciencedaily.com) Original source 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
(via sciencedaily.com) Original source 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
(via sciencedaily.com) Original source 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
(via sciencedaily.com) Original source Engineers created a catapillar-shaped robot that splits into segments and reassembles, hauls cargo, and crawls through twisting courses.
Published Stretchable e-skin could give robots human-level touch sensitivity
(via sciencedaily.com) Original source 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
(via sciencedaily.com) Original source 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.
Published Random robots are more reliable
(via sciencedaily.com) Original source 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 Toxic chemicals can be detected with new AI method
(via sciencedaily.com) Original source Researchers have developed an AI method that improves the identification of toxic chemicals -- based solely on knowledge of the molecular structure. The method can contribute to better control and understanding of the ever-growing number of chemicals used in society, and can also help reduce the amount of animal tests.
Published New computer algorithm supercharges climate models and could lead to better predictions of future climate change
(via sciencedaily.com) Original source A study describes a new computer algorithm which can be applied to Earth System Models to drastically reduce the time needed to prepare these in order to make accurate predictions of future climate change. During tests on models used in IPCC simulations, the algorithm was on average 10 times faster at spinning up the model than currently-used approaches, reducing the time taken to achieve equilibrium from many months to under a week.