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Categories: Chemistry: Thermodynamics, Mathematics: Modeling
Published New plasma escape mechanism could protect fusion vessels from excessive heat
(via sciencedaily.com) Original source The exhaust heat generated by a fusing plasma in a commercial-scale reactor may not be as damaging to the vessel's innards as once thought, according to new research about escaping plasma particles.
Published Researchers engineer new approach for controlling thermal emission
(via sciencedaily.com) Original source If a material absorbs light, it will heat up. That heat must go somewhere, and the ability to control where and how much heat is emitted can protect or even hide such devices as satellites. An international team of researchers has published a novel method for controlling this thermal emission in Science.
Published Peers crucial in shaping boys' confidence in math skills
(via sciencedaily.com) Original source Boys are good at math, girls not so much? A study has analyzed the social mechanisms that contribute to the gender gap in math confidence. While peer comparisons seem to play a crucial role for boys, girls' subjective evaluations are more likely to be based on objective performance.
Published Digital babies created to improve infant healthcare
(via sciencedaily.com) Original source Researchers have created digital babies to better understand infants' health in their critical first 180 days of life. The team created 360 advanced computer models that simulate the unique metabolic processes of each baby.
Published Newly developed material logs and stores stress information of infrastructure
(via sciencedaily.com) Original source A new material may be the key to quickly flag damaged infrastructure. This material offers a way to reduce the manpower required to regularly monitor structures that undergo daily use such as bridges. Compared to previous methods, this environmentally friendly material boasts the ability to operate without a power supply, and store information about previous incidents of mechanical stress. The application of this mechanoluminescent material is expected to make it easier and less costly to assess the safety of structures we may use in our everyday lives.
Published Pushing an information engine to its limits
(via sciencedaily.com) Original source The molecules that make up the matter around us are in constant motion. What if we could harness that energy and put it to use? Over 150 years ago Maxwell theorized that if molecules' motion could be measured accurately, this information could be used to power an engine. Until recently this was a thought experiment, but technological breakthroughs have made it possible to build working information engines in the lab. Researchers have now teamed up to build an information engine and test its limits.
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 The embryo assembles itself
(via sciencedaily.com) Original source Biological processes depend on puzzle pieces coming together and interacting. Under specific conditions, these interactions can create something new without external input. This is called self-organization, as seen in a school of fish or a flock of birds. Interestingly, the mammalian embryo develops similarly. Scientists now introduce a mathematical framework that analyzes self-organization from a single cell to a multicellular organism.
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 Overcoming barriers to heat pump adoption in cold climates and avoiding the 'energy poverty trap'
(via sciencedaily.com) Original source Converting home heating systems from natural gas furnaces to electric heat pumps is seen as a way to address climate change by reducing greenhouse gas emissions.
Published AI-controlled stations can charge electric cars at a personal price
(via sciencedaily.com) Original source As more and more people drive electric cars, congestion and queues can occur when many people need to charge at the same time. A new study shows how AI-controlled charging stations, through smart algorithms, can offer electric vehicle users personalized prices, and thus minimize both price and waiting time for customers. But the researchers point to the importance of taking the ethical issues seriously, as there is a risk that the artificial intelligence exploits information from motorists.
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 Researchers apply quantum computing methods to protein structure prediction
(via sciencedaily.com) Original source Researchers recently published findings that could lay the groundwork for applying quantum computing methods to protein structure prediction.
Published Theoretical quantum speedup with the quantum approximate optimization algorithm
(via sciencedaily.com) Original source Researchers demonstrated a quantum algorithmic speedup with the quantum approximate optimization algorithm, laying the groundwork for advancements in telecommunications, financial modeling, materials science and more.
Published AI helps medical professionals read confusing EEGs to save lives
(via sciencedaily.com) Original source Researchers have developed an assistive machine learning model that greatly improves the ability of medical professionals to read the electroencephalography (EEG) charts of intensive care patients. Because EEG readings are the only method for knowing when unconscious patients are in danger of suffering a seizure or are having seizure-like events, the computational tool could help save thousands of lives each year.
Published Researchers create materials with unique combo of stiffness, thermal insulation
(via sciencedaily.com) Original source Researchers have demonstrated the ability to engineer materials that are both stiff and capable of insulating against heat. This combination of properties is extremely unusual and holds promise for a range of applications, such as the development of new thermal insulation coatings for electronic devices.
Published Performance of eco-friendly cooling applications enhanced
(via sciencedaily.com) Original source Researchers have developed a sustainable and controllable strategy to manipulate interfacial heat transfer, paving the way for improving the performance of eco-friendly cooling in various applications such as electronics, buildings and solar panels.
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 Research finds improving AI large language models helps better align with human brain activity
(via sciencedaily.com) Original source With generative artificial intelligence (GenAI) transforming the social interaction landscape in recent years, large language models (LLMs), which use deep-learning algorithms to train GenAI platforms to process language, have been put in the spotlight. A recent study found that LLMs perform more like the human brain when being trained in more similar ways as humans process language, which has brought important insights to brain studies and the development of AI models.