Results 121 to 130 of about 78,967 (252)

A Generalizable Multimodal Model for Treatment‐Stratified Risk and Survival Assessment under Real‐World Constraints: A Multi‐Center Study of Colorectal Cancer

Advanced Science, EarlyView.
DAIMS is a multimodal model for treatment stratified risk and survival assessment in colorectal cancer. Training draws on pathology, genomics, and clinical reports, yet inference requires only whole slide images, and adaptation to new cohorts proceeds without target survival outcomes.
Chuangjie Cao, Zheyi Ji, Chang He, Jiying Wang, Xiaoming Luo, Junyi Liu, Xiaohu Jing, Fang Yan, Yirong Chen, Linhao Qu, Sen Yang, Le Lu, Yuming Jiang, Xiyue Wang, Chengyun Dou, Junhan Zhao   +15 more
wiley   +1 more source

Equity Research: Nvidia Corporation [PDF]

Em conformidade com os padrões de pesquisa estabelecidos pelo CFA Institute, este equity research report apresenta uma análise detalhada da Nvidia, aproveitando as informações divulgadas publicamente disponíveis até 29 de janeiro de 2024, sendo ...
Moura, Rui Jorge Silva
core  

NVIDIA in oil and gas

GPU graph parallelism accelerates Shell’s traveling salesmen. SLB and Nvidia team on really cognitive AI. Aramco’s chatbot helps seismic processors.
Neil McNaughton
core   +1 more source

An Expertise Transfer Framework For Autonomous Surgical Assistance

Advanced Science, EarlyView.
This study introduces an expertise transfer framework for procedure‐spanning autonomous surgical assistance. By emulating expert logic through hierarchical perception, attention modeling, and knowledge graph‐based decision‐making, the system provides near‐expert surgical view assistance.
Yuan Gao, Guangdi Chu, Wei Jiao, Yuchuan Zhong, Hang Yuan, Chengjun Li, Jinhua Li, Shuxin Wang, Bo Guan, Jianchang Zhao, Lizhi Pan, Haitao Niu, Jianmin Li   +12 more
wiley   +1 more source

Yoda1‐Functionalized Nanozymes Coordinate Piezo1 Activation and Mitochondrial Protection to Reprogram the Diabetic Osteoimmune Micromilieu and Promote Vascularized Bone Repair

Advanced Science, EarlyView.
Diabetic bone defects remain a critical clinical challenge. A 3D‐printed BCPG‐MF@Y scaffold, embedding Yoda1‐functionalized manganese dioxide‐ferritin nanozymes, scavenges mtROS, suppresses the cGAS–STING pathway, and reverses cellular senescence, while Yoda1 activates Piezo1 to direct BMSCs fate to synergistically reprogram the osteoimmune ...
Qing‐Song Deng, Ang Wang, Ren Zhang, Xu‐Ran Li, Po‐Lin Liu, Shu‐Hang He, Zi‐Yin Han, Zhi‐Han Shen, Zhan‐Ying Wei, Chang‐Ru Zhang, Fei Wang, Helen Dawes, Jian Lu, Tong‐He Zhu, Jin‐Zhong Zhao, Shang‐Chun Guo, Shi‐Cong Tao   +16 more
wiley   +1 more source

Highly Linear Perovskite Synapses for Neuromorphic Computing

Advanced Science, EarlyView.
Voltage spikes applied to an Au/ACI‐phase perovskite/ITO memristor emulate the ionic signaling of a biological synapse, generating a tunable postsynaptic current. The vertically aligned perovskite film confines iodide‐vacancy migration, enabling highly linear, and symmetric conductance updates with 100 states and 5.5 aJ per event. Such synapses sustain
Zhongwen Sun, Boyu Wan, Zifan Zhang, Zhikai Wang, Xuan Zhao, Haonan Si, Qingliang Liao, Yue Zhang   +7 more
wiley   +1 more source

Relative molecule self-attention transformer

Journal of Cheminformatics
The prediction of molecular properties is a crucial aspect in drug discovery that can save a lot of money and time during the drug design process. The use of machine learning methods to predict molecular properties has become increasingly popular in ...
Łukasz Maziarka, Dawid Majchrowski, Tomasz Danel, Piotr Gaiński, Jacek Tabor, Igor Podolak, Paweł Morkisz, Stanisław Jastrzębski   +7 more
doaj   +1 more source

From Top to Bottom: Manufacturing Process‐Context Aware Resolution of Energy Device Electrodes Through a 3D Diffusion Generative Model

Advanced Energy Materials, EarlyView.
The application of a generative diffusion model, enhanced with a training data augmentation pipeline retaining the manufacturing process context of electrode microstructures, leads to improved fidelity of the through‐plane tortuosity factor in the AI generated samples.
Victor Ramirez‐Camacho, Siwar Ben Hadj Ali, Maxence Desnoyers, Francisco Fernandez, Nassima Benammar, Alejandro A. Franco   +5 more
wiley   +1 more source

Artificial Intelligence–Based Surgical Phase Analysis Enables Objective Assessment of Surgeon Skill in Robotic Distal Gastrectomy: A Multicenter Study

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Aim Artificial intelligence (AI)–based surgical video analysis can automate time‐consuming manual assessments and enable objective characterization of surgical workflows. We aimed to construct a large, multicenter, fully annotated dataset of robotic distal gastrectomy (RDG) videos and evaluate the feasibility and performance of an AI model for
Masaru Komatsu, Daichi Kitaguchi, Yoichi Ninomiya, Yuya Takabe, Mitsumasa Yoshida, Masahiro Yura, Nobuyoshi Takeshita, Takahiro Kinoshita, Masaaki Ito   +8 more
wiley   +1 more source

NVidia CUDA Technology

, 2009
Tato diplomová práce se zabývá zkoumáním možností akcelerace obecných algoritmů na grafických procesorech firmy NVIDIA. Nejprve je zde uveden popis paralelních architektur a paralelního programování, další část je určena detailům architektury NVIDIA CUDA.
Ziegler, Zdeněk
core   +1 more source