Results 131 to 140 of about 2,544,224 (285)
LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?
Advanced Intelligent Discovery, EarlyView.A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler +7 more
wiley +1 more source
Investigating linguistic coherence relations in child sexual abuse: A comparison of PTSD and non-PTSD children. [PDF]
Heliyon, 2019 Miragoli S, Camisasca E, Di Blasio P.
europepmc +1 more source
Advanced Intelligent Discovery, EarlyView.Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez +4 more
wiley +1 more source
The Coherence-Relational Blockworld
The Coherence-Relational Blockworld (cRBW) is an adynamical, constraint-based ontology that unifies spacetime, matter, and experience as manifestations of global coherence. Instead of viewing reality as evolving in time, cRBW treats the universe as a single, self-consistent relational structure—an all-at-once solution to a set of coherence constraints ...
openaire +5 more sources
Autonomous AI‐Driven Design for Skin Product Formulations
Advanced Intelligent Discovery, EarlyView.This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang +5 more
wiley +1 more source
Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Advanced Intelligent Systems, EarlyView.Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica +38 more
wiley +1 more source
Drawing the line between constituent structure and coherence relations in visual narratives. [PDF]
J Exp Psychol Learn Mem Cogn, 2017 Cohn N, Bender P.
europepmc +1 more source
Coherent states and uncertainty relations
, 1999 A sharp estimation of the $L^p$-norms of some matrix coefficients of the square integrable representations is conjectured. The conjecture can be proved for integer values of $p$ using a result of J. Burbea.
openaire +2 more sources
Advanced Intelligent Systems, EarlyView.Inspired by human touch, a tendon‐driven soft robotic finger combines multimodal tactile sensing and deep learning to simultaneously perceive texture and softness on deformable surfaces. A CNN‐LSTM model fuses pressure, accelerometer, and gyroscope signals to accurately classify material properties, achieving up to 95.4% texture and 97.0% softness ...
Gorkem Anil Al +3 more
wiley +1 more source
Benchmarking Data‐Driven Control of Octopus‐Inspired Soft Arms in Underwater Environment
Advanced Intelligent Systems, EarlyView.Underwater soft robots present safe, compliant interaction, yet reproducible control remains scarce. This work presents an open benchmark for octopus‐inspired arms: a smooth, velocity‐diverse data‐collection scheme produces a compact dataset to train a vanilla policy.
Muhammad Sunny Nazeer +6 more
wiley +1 more source