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AI & CognitionOpenAlex2026-07-08Preprint (50)

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Vision transformer based parameter estimation for 2D Kuramoto-Sivashinsky models using physics informed features

Torben Schmitz, D. Reiser, José Ignacio Robledo et al.

Abstract Bombarding a surface with ions can cause the development of surface nanostructures. There exists a continuum model to describe the evolution of such surfaces with a partial differential equation. This equation is of the Kuramoto Sivashinsky (KS) type, which depends on several parameters explaining the various physical processes that participate in the evolution of the surface. Using a normalized version o...

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AI & CognitionOpenAlex2026-07-08Verified (75)

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From Industry 4.0 to Industry 5.0 in the Field of Autonomous Robots: Expectations, Telecommunications Operator Opportunities, and Security Challenges

Tomasz W. Nowak, Mariusz Sepczuk, Zbigniew Kotulski et al.

Industry 4.0, expected to limit the burden of manual labor through the integration of cyber physical systems, the Internet of Things (IoT), and machine learning methods, failed to meet social expectations. It started excluding humans from the production process. The next stage of the industrial revolution, Industry 5.0, reverses this trend by emphasizing the importance of human involvement and interaction in produ...

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AI & Cognition

Vision transformer based parameter estimation for 2D Kuramoto-Sivashinsky models using physics informed features

From Industry 4.0 to Industry 5.0 in the Field of Autonomous Robots: Expectations, Telecommunications Operator Opportunities, and Security Challenges

How Data Shapes RoPE Frequency Usage: From Positional Scale Matching to Length Generalization

Linguistics and human brain: a perspective of computational neuroscience

Validation of EEG mental workload markers using integrated statistical and machine learning analyses

Accurate, Interdisciplinary and Transparent Structure-property Understanding with Deep Native Structural Reasoning

Selective Timestep Weighting and Advantage-Based Replay for Sample-Efficient Diffusion RLHF

Predicting inclusive education training through neuroeducation and universal design for learning

The Key to Going Linear: Analysis-Driven Transformer Linearization

SkillCenter: A Large-Scale Source-Grounded Skill Library for Autonomous AI Agents

Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops

An optimal control approach for neural network architecture adaptation with a posteriori error estimation

Neural Operator-enabled Topology-informed Evolutionary Strategy for PDE-Constrained Optimization

Agon: Competitive Cross-Model RL with Implicit Rival Grading of Reasoning

ECGLight: Compute-Light Framework For Paper ECG Digitization and Myocardial Infarction Screening

Any-Dimensional Learning by Sampling

Max Out GRPO Signal: Adaptive Trace Prefix Control for Hard Reasoning Problems

RL Post-Training Builds Compositional Reasoning Strategies

ALER-TI: Aligned Latent Embedding Retrieval for Time Series Imputation

PeTeR: Post-Training Robustification of Probabilistic Circuits