Results 71 to 80 of about 44,685 (282)
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Improving the pedagogical expressiveness of IMS LD
, 2009 The IMS Learning Design specification (LD) was introduced in order to describe any learning and teaching scenario in a formal way. Its high level of generality, however, may make it difficult for teachers and instructional designers to apply it to their ...
Gilbert, Lester, Sitthisak, Onjira
core +1 more source
MODALITY AND EXPRESSIBILITY [PDF]
The Review of Symbolic Logic, 2019 AbstractWhen embedding data are used to argue against semantic theoryAand in favor of semantic theoryB, it is important to ask whetherAcould make sense of those data. It is possible to ask that question on a case-by-case basis. But suppose we could show thatAcan make sense ofallthe embedding data whichBcan possibly make sense of. This would, on the one
openaire +3 more sources
Soft Skins With Reversible Thickness Morphing: Materials, Mechanisms, and Applications
Advanced Materials, EarlyView.Evolution of electronic skin (e‐skin) technologies toward adaptive, multifunctional soft skins. Phase I highlights early rigid and discrete sensory interfaces. Phase II shows the transition toward flexible, stretchable, and large‐area e‐skin. Phase III captures the emergence of computational e‐skin.
Oliver Ozioko +2 more
wiley +1 more source
Advanced Materials, EarlyView.Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh +5 more
wiley +1 more source
Scalable Task Planning via Large Language Models and Structured World Representations
Advanced Robotics Research, EarlyView.This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari +4 more
wiley +1 more source
Creativity StudiesThe article discusses the problems of interpretation of a piece of music and presents a part of an extensive research on 26 filmed lessons, where the emotional expression method is used to reveal innovative possibilities for encouraging creative ...
Lolita Jolanta Piličiauskaitė +1 more
doaj +1 more source
Phrasal schemes with the base component-preposition in the Russian language
Известия Южного федерального университета: Филологические науки, 2016 This article focuses on parametization of phrasal and syntactic schemes of modern Russian language with the base component-preposition: «На то и + N1! и «N1 + не в + N4».
Akbaeva Olga Viktorovna
doaj +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
Advanced Robotics Research, EarlyView.BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Auditory–Tactile Congruence for Synthesis of Adaptive Pain Expressions in RoboPatients
Advanced Robotics Research, EarlyView.In this work, we explore auditory–tactile congruence for synthesizing adaptive vocal pain expressions in robopatients. Using a robopatient platform that integrates vocal pain sounds with palpation forces, we conducted 7680 trials across 20 participants.
Saitarun Nadipineni +4 more
wiley +1 more source