Resting-state neural oscillations predict individual differences in verbal learning and encoding strategy use. [PDF]
Oswald V +5 more
europepmc +1 more source
Revealing Hidden Raman Signatures Through Attention‐Based Spectral Unmixing
Weak Raman signatures are recovered from background‐dominated spectra using a transformer‐based, reference‐free spectral unmixing AI framework. Self‐attention reconstructs substrate contribution directly from mixed data, enabling reliable extraction of previously inaccessible vibrational features.
Dmitriy A. Poteryayev +9 more
wiley +1 more source
Spatiotemporal dynamics of frontoparietal networks in semantic intuitive decision-making. [PDF]
Liu X, Han M, Yang L, Gao Y.
europepmc +1 more source
Secure Fusion‐X harmonizes unstructured NVD descriptions with structured CVSS/CWE/CPE metadata via decision‐level fusion, overcoming the fragility of traditional unimodal models. Automated assessment of software vulnerability exploitability is essential for intelligent cyber defense, yet its effectiveness is often hindered by unstable, delayed, or ...
Mona Dolati +3 more
wiley +1 more source
Medial temporal default mode network selectively encodes autobiographical visual imagery. [PDF]
Anderson AJ, Turnbull A, Lin FV.
europepmc +1 more source
Dual‐View Representation Learning for Deployable Humanoid Whole‐Body Control
Humanoid robots must learn control from limited onboard sensing, although simulation provides richer training‐only states. DVP learning pairs these views of each simulated motion and aligns their latent control features inside the policy‐learning loop. This direct, deployment‐aware supervision accelerates learning while the deployed policy relies only ...
Haolin Song +3 more
wiley +1 more source
Using large models and time series forecasting for market reaction analysis. [PDF]
He H, Li X.
europepmc +1 more source
From Instruction to Inheritance: Scaling Robot Learning Through Knowledge Circulation
Robot learning moves from one‐way instruction toward knowledge circulation. Humans teach robots, robots teach one another, and robots share acquired skills with humans. This perspective connects teaching, embodiment, and learning architectures to explore how knowledge is inherited, adapted, and enriched across agents, opening a path toward scalable ...
Kento Kawaharazuka +13 more
wiley +1 more source
From form to concept: a dynamic spatiotemporal brain network cascade supports language comprehension. [PDF]
Hong MK +5 more
europepmc +1 more source
DyCoDiff: Dynamic Collaborative Diffusion for Text‐Image‐Audio‐to‐Video
DyCoDiff enables text, image, and audio conditions to collaborate before temporal video generation. A multimodal condition fusion layer injects gated text‐centric fusion into the temporal branch, while collaborative losses align generated videos with semantic, visual, and dynamic audio cues for rhythm‐sensitive text‐image‐audio‐to‐video synthesis. Text‐
Youming Zhang +3 more
wiley +1 more source

