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Researchers have shown that blending quantum computing with AI can dramatically improve predictions of complex, chaotic systems。 By letting a quantum computer identify hidden patterns in data, the AI becomes more accurate and stable over time。 The method outperformed standard models while using far less memory
In this study, the generalizability and distributivity of three different chaotic systems within an industrial robotics time series dataset are explored using an annotated artificial intelligence algorithm. A time series dataset derived from industrial robotics processes was constructed and transformed into the Runge-Kutta system, comprising fourth-order differential equations for normalization. Among the processed data, variables related to x-y-z positions underwent chaotic transformations through Lorenz, Chen, and Rossler chaos systems. The x variable and angle variables from the transformed x-y-z data were inputted into the InterpretML model, an annotated artificial intelligence model, to elucidate the effects of angle variables on the x position variable. As a result of this analysis, InterpretML Local analysis revealed a sensitivity of 0.05 for the Rossler chaos system, 0.15 for Chen, and 0.25 for Lorenz. Furthermore, global analysis indicated precision rates of 0.17 for Rossler, 0.255 for Chen, and 0.35 for Lorenz chaos systems. These sensitivity results suggest that the Rossler chaos system consistently provides more accurate results in both InterpretML local and global analyses compared to other chaotic systems. This study contributes significantly to the literature by analyzing the distributive and generalization properties of chaos systems and enhancing understanding of these systems.
For a chaotic system pairs of initially close-by trajectories become eventually fully uncorrelated on the attracting set. This process of decorrelation can split into an initial exponential decrease and a subsequent diffusive process on the chaotic attractor causing the final loss of predictability. Both processes can be either of the same or of very different time scales. In the latter case the two trajectories linger within a finite but small distance (with respect to the overall extent of the attractor) for exceedingly long times and remain partially predictable. Standard tests for chaos widely use inter-orbital correlations as an indicator. However, testing partially predictable chaos yields mostly ambiguous results, as this type of chaos is characterized by attractors of fractally broadened braids. For a resolution we introduce a novel 0-1 indicator for chaos based on the cross-distance scaling of pairs of initially close trajectories. This test robustly discriminates chaos, including partially predictable chaos, from laminar flow. Additionally using the finite time cross-correlation of pairs of initially close trajectories, we are able to identify laminar flow as well as strong and partially predictable chaos in a 0-1 manner solely from the properties of pairs of trajectories.
In a striking glimpse into extreme physics, scientists have captured the split-second chaos that unfolds when powerful laser flashes blast matter into a superheated plasma。 By combining two cutting-edge lasers, researchers were able to track how copper atoms lose and regain electrons in trillionths of a second, creating and dissolving highly charge
A mysterious cosmic explosion has astronomers buzzing, as a strange event may hint at an entirely new kind of stellar cataclysm。 After detecting ripples in space-time, scientists spotted a fast-fading red glow that initially looked like a rare kilonova—the kind of collision that forges gold and uranium。 But just days later, the signal shifted, beha
Different hunting patterns seem to dictate different distributions of metal
Scientists have unveiled a breakthrough imaging method that can capture the hidden details of events unfolding in trillionths of a second。 This new technique doesn’t just track how bright something is—it also reveals subtle structural changes that were previously invisible, all in a single shot。 By effectively turning ultrafast phenomena into detai
Engineers at Northwestern University have taken a striking leap toward merging machines with the human brain by printing artificial neurons that can actually communicate with real ones。 These flexible, low-cost devices generate lifelike electrical signals capable of activating living brain cells, a breakthrough demonstrated in mouse brain tissue
Quantum physics once shocked scientists by revealing that particles can behave like waves—and now, that strange behavior has been pushed even further。 For the first time, researchers have observed wave-like interference in positronium, an exotic “atom” made of an electron and its antimatter partner, a positron。 This breakthrough not only strengthen
Acoustic fire suppression goes commercial
A surprising breakthrough in physics could reshape the future of computing by tapping into a strange, previously untapped property of matter。 Scientists have shown that tiny atomic vibrations—called chiral phonons—can directly transfer motion to electrons, allowing them to carry information without magnets, batteries, or even electricity。 This open
Astronomers have long been puzzled by a cosmic mystery: planets orbiting two stars—like Star Wars’ Tatooine—are surprisingly rare, even though they should be common。 New research suggests the culprit is none other than Einstein’s theory of general relativity
As the Moon swallowed the Sun during the April 8, 2024, total solar eclipse, something remarkable happened on the ground—cities went eerily quiet。 Scientists analyzing seismic data found that human-generated vibrations, usually caused by traffic, construction, and daily activity, dropped sharply during totality。 The effect was so pronounced that it
Curiosity has detected a surprising variety of organic molecules on Mars, including compounds tied to the chemistry of life。 Some of these molecules may be billions of years old, preserved in ancient clay-rich rocks that once held water。 One standout find resembles building blocks of DNA, raising exciting questions about Mars’ past
A team at King’s College London has created a powerful new aluminum compound capable of doing the work of expensive rare metals。 Its unique triangular structure gives it remarkable stability and reactivity, allowing it to drive chemical reactions in ways never seen before。 The discovery could lead to greener and far more affordable industrial proce
A light-sensitive crystal is opening the door to a new era of “light-written” technology。 Arsenic trisulfide can be reshaped and permanently altered using simple light, creating ultra-fine optical patterns without expensive manufacturing tools。 Scientists even etched a nanoscale portrait of Einstein and high-density patterns that could act as secur