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Categories: Computer Science: Artificial Intelligence (AI), Geoscience: Landslides
Published Designing environments that are robot-inclusive
(via sciencedaily.com) Original source To overcome issues associated with real-life testing, researchers successfully demonstrated the use of digital twin technology within robot simulation software in assessing a robot's suitability for deployment in simulated built environments.
Published AI saving humans from the emotional toll of monitoring hate speech
(via sciencedaily.com) Original source A team of researchers have developed a new machine-learning method that detects hate speech on social media platforms with 88 per cent accuracy, saving employees from hundreds of hours of emotionally damaging work.
Published The AI paradox: Building creativity to protect against AI
(via sciencedaily.com) Original source Cultivating creativity in schools is vital for a future driven by artificial intelligence (AI). But while teachers embrace creativity as an essential 21st century skill, a lack of valid and reliable creativity tests means schools struggle to assess student achievement. Now, a new machine-learning model is providing teachers with access to high-quality, fit-for-purpose creativity tests, that can score assessments in a fraction of the time and a fraction of the cost.
Published Bio-inspired cameras and AI help drivers detect pedestrians and obstacles faster
(via sciencedaily.com) Original source Artificial intelligence (AI) combined with a novel bio-inspired camera achieves 100 times faster detection of pedestrians and obstacles than current automotive cameras. This important step for computer vision and AI and can greatly improve the safety of automotive systems and self-driving cars.
Published Tracking animals without markers in the wild
(via sciencedaily.com) Original source Researchers developed a computer vision framework for posture estimation and identity tracking which they can use in indoor environments as well as in the wild. They have thus taken an important step towards markerless tracking of animals in the wild using computer vision and machine learning.
Published AI headphones let wearer listen to a single person in a crowd, by looking at them just once
(via sciencedaily.com) Original source Engineers have developed an artificial intelligence system that lets someone wearing headphones look at a person speaking for three to five seconds to 'enroll' them. The system then plays just the enrolled speaker's voice in real time, even as the pair move around in noisy environments.
Published AI poised to usher in new level of concierge services to the public
(via sciencedaily.com) Original source Concierge services built on artificial intelligence have the potential to improve how hotels and other service businesses interact with customers, a new paper suggests.
Published 3D printing robot creates extreme shock-absorbing shape, with help of AI
(via sciencedaily.com) Original source See how an autonomous robot created a shock-absorbing shape no human ever could -- and what it means for designing safer helmets, packaging, car bumpers, and more.
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 Subduction zone splay faults compound hazards of great earthquakes
(via sciencedaily.com) Original source Groundbreaking research has provided new insight into the tectonic plate shifts that create some of the Earth's largest earthquakes and tsunamis.
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 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 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.