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One year after the discovery image of the black hole M87*, improved observations of the Event Horizon Telescope (EHT) Collaboration give a better picture showing a persistent black hole shadow. The Event Horizon Telescope (EHT) Collaboration including scientists at Julius-Maximilians-Universität (JMU) Würzburg has released a new image of M87*, the supermassive black hole residing at the heart of the galaxy Messier 87.

MIT researchers propose "PEDS" method for developing models of complex physical systems in mechanics, optics, thermal transport, fluid dynamics, physical chemistry, climate, and more. In fields such as physics and engineering, partial differential equations (PDEs) are used to model complex physical processes to generate insight into how some of the most complicated physical and natural systems in the world function.

In a study that could help fill some holes in quantum theory, the team recreated a "quantum bomb tester" in a classical droplet test. In our everyday classical world, what you see is what you get. A ball is just a ball, and when lobbed through the air, its trajectory is straightforward and clear. But if that ball were shrunk to the size of an atom or smaller, its behavior would shift into a quantum, fuzzy reality.

Physical experiments and simulations offer more insight into mathematical phenomenon 'sausage catastrophe' Researchers from Utrecht University and the University of Twente have investigated the mathematical sphere packing problem through physical experiments and computer simulations. The study illustrates how a finite quantity of spheres can be packed most efficiently.

Breakthrough Classifies Types of Arrhythmia Recordings With Precise Aleatoric and Epistemic Uncertainty - A team comprising CEA-Leti, CEA-List and two CNRS laboratories has published a new paper in Nature Communications presenting the first complete memristor-based Bayesian neural network implementation for a real-world task-classifying types of arrhythmia recordings with precise aleatoric and epistemic uncertainty.

The simple activity of walking through a room jumpstarts the neurons in the human brain. An explosion of electrochemical events or "neuronal spikes" appear at various times during the action. These spikes in activity, otherwise known as action potentials, are electrical impulses that occur when neurons communicate with one another.

New approach developed by Johns Hopkins researchers promises to improve the accuracy of celestial object matching A team of Johns Hopkins researchers has developed a cutting-edge data science approach capable of matching observations of celestial objects taken across multiple telescope surveys, overcoming a significant challenge in modern astronomy.

Mathematicians are using their expertise to improve IVF success rates, according to a new study. A team of researchers have redesigned the needle used in IVF procedures, helping to increase the likelihood of having a baby through this treatment. The study, published in the Journal of Biomechanics, is a culmination of five years research into fertility.

The SecureLoop search tool efficiently identifies secure designs for hardware that can boost the performance of complex AI tasks, while requiring less energy. With the proliferation of computationally intensive machine-learning applications, such as chatbots that perform real-time language translation, device manufacturers often incorporate specialized hardware components to rapidly move and process the massive amounts of data these systems demand.

Applying machine learning to find the properties of atomic pieces of geometry shows how AI has the power to accelerate discoveries in maths. Mathematicians from Imperial College London and the University of Nottingham have, for the first time, used machine learning to expand and accelerate work identifying 'atomic shapes' that form the basic pieces of geometry in higher dimensions.

Self-cleaning cicadas could help design new tech which will make our cars cleaner, scientists say. A type of large insect known as a cicada is able to keep its wings clean of dust and dirt through a remarkable process which could be applied in modern technology. The texture of the cicada wing is unusually repellent to water - known as being "super hydrophobic".

Researchers have determined how to build reliable machine learning models that can understand complex equations in real-world situations while using far less training data than is normally expected.

Researchers use multiple AI models to collaborate, debate, and improve their reasoning abilities to advance the performance of LLMs while increasing accountability and factual accuracy. An age-old adage, often introduced to us during our formative years, is designed to nudge us beyond our self-centered, nascent minds: "Two heads are better than one." This proverb encourages collaborative thinking and highlights the potency of shared intellect.

The system could improve image quality in video streaming or help autonomous vehicles identify road hazards in real-time. An autonomous vehicle must rapidly and accurately recognize objects that it encounters, from an idling delivery truck parked at the corner to a cyclist whizzing toward an approaching intersection.

Synchronicity is all around us, but it is poorly understood. Computer scientists have now developed new tools to understand how human and natural networks fall in and out of sync. Computer scientists and mathematicians working in complex systems at the University of Sydney and the Max Planck Institute for Mathematics in the Sciences in Germany have developed new methods to describe what many of us take for granted - how easy, or hard, it can be to fall in and out of sync.

Together with the Max Planck Institute for Evolutionary Biology, Würzburg biology professor Chaitanya S. Gokhale has developed a mathematical model on population dynamics and evolution of herbicide resistance in perennial weeds. Weeds have always been a significant problem for agriculture. They compete with crops for resources such as light, water and nutrients, which can result in severe yield losses.

Researchers use mathematical models to better understand how the body regulates circadian rhythms Researchers are using mathematical models to better understand the effects of disruptions like daylight savings time, working night shifts, jet lag or even late-night phone scrolling on the body's circadian rhythms.

A world record in solving satisfiability problems was achieved at the Vienna University of Technology - it is quite abstract, but the technology behind it is extremely important for hardware and software industries . Suppose Alice, Bob, and Carla answer a question. Each of the three answers is either correct or incorrect.

Researchers discover a single shape that tiles the plane aperiodically without reflection By Joe Petrik Cheriton School of Computer Science Just months ago, an international team of four that includes Cheriton School of Computer Science Craig Kaplan discovered a single shape that tiles the plane - an infinite, two-dimensional surface - in a pattern that can never be made to repeat.

Vision allows brain to make predictions well before it knows what's coming, new study shows Blending math and AI, Western researchers developed neural network model able to predict individual moments in the future The moment a pitcher unleashes a fastball in the direction of Toronto Blue Jays shortstop Bo Bichette in a professional baseball game, the crowd at Rogers Centre hopes something special is about to happen.