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Categories: Mathematics: Modeling
Published A step toward safe and reliable autopilots for flying
(via sciencedaily.com) Original source Researchers developed a machine-learning technique that can autonomously drive a car or fly a plane through a very difficult 'stabilize-avoid' scenario, in which the vehicle must stabilize its trajectory to arrive at and stay within some goal region, while avoiding obstacles.
Published AI-generated academic science writing can be identified with over 99% accuracy
(via sciencedaily.com) Original source The debut of artificial intelligence chatbot ChatGPT has set the world abuzz with its ability to churn out human-like text and conversations. Still, many telltale signs can help us distinguish AI chatbots from humans, according to a new study. Based on the signs, the researchers developed a tool to identify AI-generated academic science writing with over 99% accuracy.
Published Applying artificial intelligence for early risk forecasting of Alzheimer's disease
(via sciencedaily.com) Original source An international research team has developed an artificial intelligence (AI)-based model that uses genetic information to predict an individual's risk of developing Alzheimer's disease (AD) well before symptoms occur. This groundbreaking study paves the way for using deep learning methods to predict the risks of diseases and uncover their molecular mechanisms; this could revolutionize the diagnosis of, interventions for, and clinical research on AD and other common diseases such as cardiovascular diseases.
Published New AI boosts teamwork training
(via sciencedaily.com) Original source Researchers have developed a new artificial intelligence (AI) framework that is better than previous technologies at analyzing and categorizing dialogue between individuals, with the goal of improving team training technologies. The framework will enable training technologies to better understand how well individuals are coordinating with one another and working as part of a team.
Published The digital dark matter clouding AI
(via sciencedaily.com) Original source Scientists using artificial intelligence technology may be inviting unwanted noise into their genome analyses. Now, researchers have created a computational correction that will allow them to see through the fog and find genuine DNA features that could signal breakthroughs in health and medicine.
Published Finally solved! The great mystery of quantized vortex motion
(via sciencedaily.com) Original source Scientists investigated numerically the interaction between a quantized vortex and a normal-fluid. Based on the experimental results, researchers decided the most consistent of several theoretical models. They found that a model that accounts for changes in the normal-fluid and incorporates more theoretically accurate mutual friction is the most compatible with the experimental results.
Published New method improves efficiency of 'vision transformer' AI systems
(via sciencedaily.com) Original source Vision transformers (ViTs) are powerful artificial intelligence (AI) technologies that can identify or categorize objects in images -- however, there are significant challenges related to both computing power requirements and decision-making transparency. Researchers have now developed a new methodology that addresses both challenges, while also improving the ViT's ability to identify, classify and segment objects in images.
Published Using AI, scientists find a drug that could combat drug-resistant infections
(via sciencedaily.com) Original source Using AI, researchers identified a new antibiotic that can kill Acinetobacter baumannii, a type of bacteria that is responsible for many drug-resistant infections.
Published Scientists propose revolution in complex systems modelling with quantum technologies
(via sciencedaily.com) Original source Scientists have made a significant advancement with quantum technologies that could transform complex systems modelling with an accurate and effective approach that requires significantly re-duced memory.
Published New method predicts extreme events more accurately
(via sciencedaily.com) Original source A new study has used global storm-resolving simulations and machine learning to create an algorithm that can deal separately with two different scales of cloud organization: those resolved by a climate model, and those that cannot be resolved as they are too small. This new approach addresses the missing piece of information in traditional climate model parameterizations and provides a way to predict precipitation intensity and variability more precisely.
Published A better way to study ocean currents
(via sciencedaily.com) Original source Computer scientists and oceanographers developed a machine-learning model that generates more accurate predictions about the velocities of ocean currents. The model could help make more precise weather forecasts or effectively predict how oil will spread after a spill.
Published Curved spacetime in a quantum simulator
(via sciencedaily.com) Original source The connection between quantum physics and the theory of relativity is extremely hard to study. But now, scientists have set up a model system, which can help: Quantum particles can be tuned in such a way that the results can be translated into information about other systems, which are much harder to observe. This kind of 'quantum simulator' works very well and can lead to new insights about the nature of relativity and quantum physics.
Published Extracting the best flavor from coffee
(via sciencedaily.com) Original source Researchers explore the role of uneven coffee extraction using a simple mathematical model. They split the coffee into two regions to examine whether uneven flow does in fact make weaker espresso. One of the regions in the model system hosted more tightly packed coffee than the other, which caused an initial disparity in flow resistance. The extraction of coffee decreased the flow resistance further. Understanding the origin of uneven extraction and avoiding or preventing it could enable better brews and substantial financial savings by using coffee more efficiently.
Published Structured exploration allows biological brains to learn faster than AI
(via sciencedaily.com) Original source Neuroscientists have uncovered how exploratory actions enable animals to learn their spatial environment more efficiently. Their findings could help build better AI agents that can learn faster and require less experience.
Published Unraveling the mathematics behind wiggly worm knots
(via sciencedaily.com) Original source Researchers wanted to understand precisely how blackworms execute tangling and ultrafast untangling movements for a myriad of biological functions. They researched the topology of the tangles. Their research could inform the design of fiber-like, shapeshifting robotics that self-assemble and move in ways that are fast and reversible.
Published Creating a tsunami early warning system using artificial intelligence
(via sciencedaily.com) Original source Researchers develop an early warning system that combines acoustic technology with AI to immediately classify earthquakes and determine potential tsunami risk. They propose using underwater microphones, called hydrophones, to measure the acoustic radiation produced by the earthquake, which carries information about the tectonic event and travels significantly faster than tsunami waves. The computational model triangulates the source of the earthquake and AI algorithms classify its slip type and magnitude. It then calculates important properties like effective length and width, uplift speed, and duration, which dictate the size of the tsunami.
Published Scientists have full state of a quantum liquid down cold
(via sciencedaily.com) Original source A team of physicists has illuminated certain properties of quantum systems by observing how their fluctuations spread over time. The research offers an intricate understanding of a complex phenomenon that is foundational to quantum computing.
Published Researchers use AI to discover new planet outside solar system
(via sciencedaily.com) Original source A research team has confirmed evidence of a previously unknown planet outside of our solar system, and they used machine learning tools to detect it. A recent study by the team showed that machine learning can correctly determine if an exoplanet is present by looking in protoplanetary disks, the gas around newly formed stars. The newly published findings represent a first step toward using machine learning to identify previously overlooked exoplanets.
Published AI system can generate novel proteins that meet structural design targets
(via sciencedaily.com) Original source A new machine-learning system can generate protein designs with certain structural features, and which do not exist in nature. These proteins could be utilized to make materials that have similar mechanical properties to existing materials, like polymers, but which would have a much smaller carbon footprint.
Published Quantum liquid becomes solid when heated
(via sciencedaily.com) Original source Solids can be melted by heating, but in the quantum world it can also be the other way around: An experimental team has shown how a quantum liquid forms supersolid structures by heating. The scientists obtained a first phase diagram for a supersolid at finite temperature.