Results 31 to 40 of about 10,190 (259)

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

Locality-Constrained Double Low-Rank Representation for Effective Face Hallucination

IEEE Access, 2016
Recently, position-patch-based face hallucination methods have received much attention, and obtained promising progresses due to their effectiveness and efficiency.
Guangwei Gao, Xiao-Yuan Jing, Pu Huang, Quan Zhou, Songsong Wu, Dong Yue   +5 more
doaj   +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

Treatment of Visual Hallucinations in Schizophrenia by Acetylcholinesterase Inhibitors: a case report.

Iranian Journal of Psychiatry, 2016
Schizophrenia and various neurological disorders have some signs and symptoms. Visual hallucinations are one of such disorders. The related studies in some diseases for example Parkinson Disease and Lewy Body Dementia indicate that Acetylcholine (Ach ...
Nazir Hashemi Abad, Najafi Shala Doulatabad, Ali Mohammadi, Hamid Reza Ghafarian Srazi   +3 more
doaj  

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

OBUSight: Clinically Aligned Generative AI for Ophthalmic Ultrasound Interpretation and Diagnosis

Advanced Science, EarlyView.
OBUSight, a clinically aligned generative AI model that jointly generates reports and predicts diseases through multimodal semantic alignment, was trained and validated on a large multicenter dataset. OBUSight outperformed eight state‐of‐the‐art models, provided clinically reliable reports, enhanced diagnostic efficiency, and achieved performance ...
Xiaocong Liu, An Shao, Bingtao Guan, Ziyao Luo, Weiyi Lai, Xiaoling Huang, Jun Liu, Jie Yan, Huimin Li, Xiangji Pan, Jiawei Wang, Zichang Su, Yih Chung Tham, Jie Yang, Haotian Lin, Juan Ye, Hongxia Xu, Jian Wu   +17 more
wiley   +1 more source

No-Reference Image Quality Assessment Based on Multi-Task Generative Adversarial Network

IEEE Access, 2019
Since human observers are the ultimate receivers of an image, most of the image quality assessment (IQA) methods are based on analysis of the properties and mechanism of the human visual system.
Yao Ma, Xibiao Cai, Fuming Sun, Shijie Hao   +3 more
doaj   +1 more source

Exploration of the cortical pathophysiology underlying visual disturbances in schizophrenia comorbid with depressive disorder—An evidence from mouse model

Brain and Behavior, 2021
Introduction Patients with schizophrenia frequently present with visual disturbances including hallucination, and this symptom is particularly prevalent in individuals with comorbid depressive disorders.
Jian Liu, Lidan Zheng, Tao Fang, Ranli Li, Xiaoyan Ma, Yun Sun, Lina Wang, Hongjun Tian, Deguo Jiang, Chuanjun Zhuo   +9 more
doaj   +1 more source

Exploring Bottom-Up Visual Processing and Visual Hallucinations in Parkinson's Disease With Dementia

Frontiers in Neurology, 2021
Visual hallucinations (VH) are a common symptom of Parkinson's disease with dementia (PDD), affecting up to 65% of cases. Integrative models of their etiology posit that a decline in executive control of the visuo-perceptual system is a primary mechanism
Nicholas Murphy, Nicholas Murphy, Alison Killen, Rajnish Kumar Gupta, Sara Graziadio, Lynn Rochester, Michael Firbank, Mark R. Baker, Charlotte Allan, Daniel Collerton, John-Paul Taylor, Prabitha Urwyler, Prabitha Urwyler, Prabitha Urwyler, Prabitha Urwyler   +14 more
doaj   +1 more source

A Perspective on Interactive Theorem Provers in Physics

Advanced Science, EarlyView.
Into an interactive theorem provers (ITPs), one can write mathematical definitions, theorems and proofs, and the correctness of those results is automatically checked. This perspective goes over the best usage of ITPs within physics and motivates the open‐source community run project PhysLean, the aim of which is to be a library for digitalized physics
Joseph Tooby‐Smith
wiley   +1 more source