Results 71 to 80 of about 555 (189)

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu   +8 more
wiley   +1 more source

A Denotational Semantics for Parameterised Networks of Synchronised Automata [PDF]

open access: yes, 2016
International audienceParameterised Networks of Synchronised Automata (pNets) is a machine-oriented semantic formalism used for specifying and verifying the behaviour of distributed components or systems.
Li, Siqi, Madelaine, Eric
core  

Empirical Risk Minimization for Probabilistic Grammars: Sample Complexity and Hardness of Learning

open access: yes, 2012
Probabilistic grammars are generative statistical models that are useful for compositional and sequential structures. They are used ubiquitously in computational linguistics.
Noah A. Smith   +3 more
core   +1 more source

Schooling Trajectories and the Development of Brain Dynamics: A Comparative Study of Montessori and Traditional Education

open access: yesAdvanced Science, EarlyView.
We investigate whether Montessori and traditional schooling systems shape the developmental trajectory of large‐scale brain dynamics in different ways. We quantify the arrow of time (“non‐reversibility”) in neural activity during resting state and movie‐watching, revealing distinct maturational patterns.
Elvira del Agua   +6 more
wiley   +1 more source

Noninvasive Focal Gene Delivery into the Cerebellum of Non‐Human Primates using Focused Ultrasound

open access: yesAdvanced Science, EarlyView.
Focal and non‐invasive viral vector delivery in non‐human primates remains a major challenge in translational neuroscience. Low‐intensity focused ultrasound was used to transiently open the blood–brain barrier and enable targeted gene delivery to the cerebellum.
Noelia Esteban‐García   +11 more
wiley   +1 more source

Organoid Brain‐Machine‐Interface Devices for Central Nervous System Repair

open access: yesAdvanced Science, EarlyView.
We envision organoid brain‐machine‐interface (Organoid‐BMI) devices as new biohybrid bidirectional communication pathways to connect the human CNS and the external world for personalized CNS repair and regeneration. ABSTRACT Central nervous system (CNS) repair and regeneration suffer from tremendous clinical challenges due to current limitations in ...
Yantao Xing   +10 more
wiley   +1 more source

On dots in boxes, or Permutation pattern classes and regular languages

open access: yes, 2015
This thesis investigates permutation pattern classes in a language theoretic context. Specifically we explored the regularity of sets of permutations under the rank encoding. We found that the subsets of plus- and minus-(in)decomposable permutations of
Hoffmann, Ruth
core  

From Label‐Free Multiphoton Imaging to Pathological Reports: A Vision‐Language Breast Cancer Margin Pathological Diagnosis System

open access: yesAdvanced Science, EarlyView.
MarginPath is a novel vision‐language system that automates breast cancer margin assessment using a single label‐free multiphoton microscopy image. By integrating tumor‐associated collagen signatures with virtual H&E imaging, it generates accurate margin heatmaps and comprehensive diagnostic reports.
Shu Wang   +15 more
wiley   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

open access: yesAdvanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung   +7 more
wiley   +1 more source

How Advanced Artificial Intelligence Technologies Shape Drug–Drug and Drug–Target Interaction Modeling

open access: yesAdvanced Science, EarlyView.
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley   +1 more source

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