Results 41 to 50 of about 26,018 (288)

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Artificial Intelligence as the Next Visionary in Liquid Crystal Research

Advanced Functional Materials, EarlyView.
The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam, Ouassim L'Karkouri, Danqing Liu   +2 more
wiley   +1 more source

Body image concerns in patients with persecutory delusions [PDF]

, 2022
Felicity Waite, Rowan Diamond, Nicola Collett, Emily Bold, Eleanor Chadwick, Daniel Freeman   +5 more
openalex   +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, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +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, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

Severe Sleep Deprivation Causes Hallucinations and a Gradual Progression Toward Psychosis With Increasing Time Awake

Frontiers in Psychiatry, 2018
Background: Going without sleep for long periods of time can produce a range of experiences, including perceptual distortions and hallucinations. Many questions, however, remain unanswered regarding the types of symptoms which are most reliably elicited,
Flavie Waters, Flavie Waters, Vivian Chiu, Vivian Chiu, Amanda Atkinson, Jan Dirk Blom, Jan Dirk Blom, Jan Dirk Blom   +7 more
doaj   +1 more source

Discovery of a Novel and Potent Kir4.1 Inhibitor as a Safe and Rapid‐Onset Antidepressant Agent in Mice

Advanced Science, EarlyView.
The preferred derivative JX3212 demonstrates strong inhibitory activity against Kir4.1 with favorable druggability and shows significant antidepressant efficacy in vivo. Abstract Major depressive disorder is a serious psychiatric disorder for which novel and fast‐acting antidepressants are required.
Sisi Wang, Xiaoyu Zhou, Mengdan Li, Chao Zhang, Haiyan Xu, Jingyi He, Li Zhan, Yueling Gu, Hao Gu, Tianyu Tu, Hanfang Liu, Taotao Lu, Yueming Zheng, Jian Li, Zhaobing Gao, Yixiang Xu   +15 more
wiley   +1 more source

Precision Editing of NLRS Improves Effector Recognition for Enhanced Disease Resistance

Advanced Science, EarlyView.
Precision engineering of plant NLR immune receptors enables rational design of enhanced pathogen resistance through mismatched pairing, domain swapping, and targeted mutagenesis. These approaches achieve multi‐fold expansion in recognition breadth while minimizing autoimmunity risks and fitness penalties.
Vinit Kumar, Vishwa I. P. W. A. Kumara, Pradeepa C. G. Bandaranayake, Dong Yawen, Yang‐Yang Gao, Junfeng Liu, Ge‐Fei Hao, Xiu‐Fang Xin   +7 more
wiley   +1 more source