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Categories: Computer Science: Artificial Intelligence (AI), Energy: Fossil Fuels
Published Innovative demand strategies for clean energy



A perspective piece describes innovative strategies that significantly reduce both resource consumption and fossil fuel emissions.
Published A technique for more effective multipurpose robots



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 Children's visual experience may hold key to better computer vision training



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



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



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



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



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



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



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 Controlling water, transforming greenhouse gases



Researchers have outlined a way to manipulate water molecules to make CO2R more efficient, with the ultimate goal of creating a clean energy loop. Through their new method, the team was able to perform CO2R with nearly 100% efficiency under mildly acidic conditions, using either gold or zinc as catalysts.
Published AI poised to usher in new level of concierge services to the public



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



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 Can coal mines be tapped for rare earth elements?



A team of geologists analyzed 3,500 samples taken in and around coal mines in Utah and Colorado. Their findings open the possibility that these mines could see a secondary resource stream in the form of rare earth metals used in renewable energy and numerous other high-tech applications.
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 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 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 Studying bubbles can lead to more efficient biofuel motors



By studying how bubbles form in a drop of biodiesel, researchers can help future engines get the most energy out of the fuel.
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.