Results 161 to 170 of about 12,717 (259)

LLM-powered prostate cancer staging from PSMA-PET/CT reports using PROMISE v2. [PDF]

Eur J Nucl Med Mol Imaging
Spitzl D, Mergen M, Endroes L, Spaeth C, Trager R, Braren RF, Eiber M, Steinhelfer L.   +7 more
europepmc   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

ONCO-RADS-guided Large Language Models for Extraction and Classification of Incidental Findings on Whole-Body Imaging Reports. [PDF]

Radiol Imaging Cancer
Tordjman M, Yuce M, Liu Z, Meribout A, Bolger I, Geahchan A, Restrepo F, Joshi H, Lee HC, Deyer T, Fayad Z, Lewis S, Petralia G, Mei X, Taouli B.   +14 more
europepmc   +1 more source

Efficient In‐Hardware Matrix–Vector Multiplication and Addition Exploiting Bilinearity of Schottky Barrier Transistors Processed on Industrial FDSOI

Advanced Electronic Materials, EarlyView.
ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez, Niladri Bhattacharjee, Yuxuan He, Giulio Galderisi, Brojogopal Sapui, Sara Mannaa, Ian O'Connor, Violetta Sessi, Peter Javorka, Thomas Mikolajick, Jens Trommer   +10 more
wiley   +1 more source

AdaFed-LDR: Adaptive Federated Learning with Layerwise Dynamics Regularization for Robust Wi-Fi Localization. [PDF]

Sensors (Basel)
Harada K, Natori H, Koike M, Mineno H.
europepmc   +1 more source

Advancing Energy Materials by In Situ Atomic Scale Methods

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss, Michael Seibt, Martin Wenderoth, Oliver Bünermann, Ole Bunjes, Till Domröse, Christian Eckel, Francesca Falorsi, Christoph Flathmann, Monica Kolek Martinez de Azagra, Matthias Krüger, Jonas Lindner, Tobias Meyer, Claus Ropers, Ulrich Ross, Kai Rossnagel, Sreeju Sreekantan Nair Lalithambika, Simone Techert, Georg A. Traeger, Cynthia Volkert, R. Thomas Weitz, Alec M. Wodtke   +21 more
wiley   +1 more source

Investigating fine-tuning versus zero-shot learning for general large language models when predicting cancer survival from initial oncology consultation documents. [PDF]

ESMO Real World Data Digit Oncol
Phaterpekar T, Zeng Z, Mali Y, Leung B, Ho C, Ng RT, Bates AT, Nunez JJ.   +7 more
europepmc   +1 more source

Intrinsic Mechanical Parameters and their Characterization in Solid‐State Lithium Batteries

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
This review focuses on the intrinsic mechanical parameters and their associated characterization in solid‐state batteries. The physical significance of mechanics parameters is introduced with exhaustive classifications by elastic, plastic deformations and fracture in bulk, adhesion, friction at interfaces, and mechanical fatigue in cells ...
Shuai Hao, Qianyi Zhang, Xiangkang Kong, Zhaoxiang Wang, Xue‐Ping Gao, Paul R. Shearing   +5 more
wiley   +1 more source

Boosting pathology foundation models via few-shot prompt-tuning for rare cancer subtyping. [PDF]

Nat Commun
He D, Zhou X, Guan W, Zhang L, Zhang X, Xu S, Wang G, Wang L, Yuan X, Ma J, Sun X, Wang Y, Sun K, Zhang Y, Xie W.   +14 more
europepmc   +1 more source

Fabrication of Composite Cathode for All‐Solid‐State Sodium Batteries

Advanced Energy Materials, EarlyView.
The design of composite cathodes for all‐solid‐state sodium batteries must address three critical challenges—interfacial side reactions, interfacial delamination, and highly tortuous transport pathways. This work outlines structural and interfacial strategies to optimize ion transport and mechanical stability, enabling durable, and high‐performance ...
Gaoming Sun, Yuan Ma, Hehe Zhang, Shengan Wu, Shiyong Chu, Stefano Passerini, Yanjiao Ma   +6 more
wiley   +1 more source