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Categories: Computer Science: Artificial Intelligence (AI), Computer Science: Virtual Reality (VR)
Published Using AI to decode dog vocalizations
(via sciencedaily.com) Original source Have you ever wished you could understand what your dog is trying to say to you? Researchers are exploring the possibilities of AI, developing tools that can identify whether a dog's bark conveys playfulness or aggression.
Published New model allows a computer to understand human emotions
(via sciencedaily.com) Original source Researchers have developed a model that enables computers to interpret and understand human emotions, utilizing principles of mathematical psychology. In the future, the model can help the computer to adapt its own behavior and guide an irritated or anxious user in different ways. The implications of such technology are profound, offering a glimpse into a future where computers are not merely tools, but empathetic partners in user interaction.
Published A technique for more effective multipurpose robots
(via sciencedaily.com) Original source MIT researchers developed a technique to combine robotics training data across domains, modalities, and tasks using generative AI models. They create a combined strategy from several different datasets that enables a robot to learn to perform new tasks in unseen environments.
Published Best of both worlds: Innovative positioning system enhances versatility and accuracy of drone-viewpoint mixed reality applications
(via sciencedaily.com) Original source Researchers have developed an innovative positioning system that enhances the versatility and accuracy of drone-viewpoint mixed reality (MR) applications by aligning real and virtual world coordinates without predefined routes. By integrating visual positioning systems and natural feature-based tracking, this technology is expected to be applied to urban landscape simulation, maintenance, and inspection work.
Published Children's visual experience may hold key to better computer vision training
(via sciencedaily.com) Original source A novel, human-inspired approach to training artificial intelligence (AI) systems to identify objects and navigate their surroundings could set the stage for the development of more advanced AI systems to explore extreme environments or distant worlds, according to new research.
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 Imperceptible sensors made from 'electronic spider silk' can be printed directly on human skin
(via sciencedaily.com) Original source Researchers have developed a method to make adaptive and eco-friendly sensors that can be directly and imperceptibly printed onto a wide range of biological surfaces, whether that's a finger or a flower petal.
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 Finding the beat of collective animal motion
(via sciencedaily.com) Original source Virtual Reality experiments have illuminated the rhythmic glue that could keep animals moving in synchrony.
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 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.