Results 141 to 150 of about 9,929 (258)

Function inference of million-scale microbiomes using multi-GPU acceleration. [PDF]

Microbiol Spectr
Zhang Y, Wang M, Sun Y, Gao H, Su X.
europepmc   +1 more source

Artificial intelligence empowers targeted protein degradation: Core technological innovations, multi‐scenario applications, and translational prospects

Smart Molecules, EarlyView.
AI is transforming TPD by improving the design, prediction, and optimization of degraders such as PROTACs, molecular glues, and LYTACs. This review summarizes key AI‐driven advances, highlights applications across drug discovery stages, and discusses remaining challenges and future directions for accelerating the development of therapies against ...
Shuanglin Qin, Rui Peng, Guangshuai Zhang, Si Yan, Jin Xiao, Zishu Liu, Ziyu Tan, Qingqing Xie, Shangjie Li, Wei Luo, Xiaohe Xiao   +10 more
wiley   +1 more source

Workflow Analysis for CGH Generation with Speckle Reduction and Occlusion Culling Using GPU Acceleration. [PDF]

Sensors (Basel)
Serón FJ, Blesa A, Sanz D.
europepmc   +1 more source

DOM: Dual Optical Mapping Integrating Sequence‐Specific Barcodes and A/T Density Profiles

Small Methods, EarlyView.
Dual Optical Mapping (DOM) combines sequence‐specific barcodes and an A/T profile to generate complementary genomic signatures along single DNA molecules. The integration of sparse and dense mapping information enables accurate and confident genome mapping, facilitating reliable localization of long DNA molecules in complex genomes, including the ...
Jaeyoung Bae, Yunchul Kim, Joohee Choe, Jinhui Hong, Byoungsang Lee, Kaori Hashiya, Toshikazu Bando, Hiroshi Sugiyama, Seonghyun Lee, Jung Heon Lee, Kyubong Jo   +10 more
wiley   +1 more source

GPU-Accelerated Signal Processing for Distributed Vibration Sensing Based on OVNA Method. [PDF]

Sensors (Basel)
Meoli A, Vallifuoco R, Coscetta A, Zeni L, Minardo A.   +4 more
europepmc   +1 more source

Balancing Accuracy and Cost: Trade‐Offs in Large Language Model Quantization for the Systems Engineering Domain

Systems Engineering, EarlyView.
ABSTRACT As Large Language Models (LLMs) are increasingly deployed within the systems engineering domain, optimizing these models to balance performance accuracy and cost for given computational resources becomes essential. One process for finding the right balance is quantization, a process that involves converting model parameters from higher ...
Ryan Bell, Raymond Madachy, Ryan Longshore   +2 more
wiley   +1 more source

A Fine-Tuned Multimodal AI Chatbot for Dietary Health and Nutrition, Purrfessor: Development and Mixed Methods Evaluation. [PDF]

JMIR AI
Lu L, Deng Y, Tian C, Yang S, Shah DV.
europepmc   +1 more source

Baselining Large Language Model Performance in Systems Engineering Using SysEngBench

Systems Engineering, EarlyView.
ABSTRACT In the rapidly evolving field of artificial intelligence (AI), large language model s (LLMs) have demonstrated impressive capabilities in generating natural language. However, their proficiency in specialized domains, particularly in the field of systems engineering (SE), remains less explored and unquantified.
Ryan Bell, Ryan Longshore, Raymond Madachy, Ashlyn Hanrahan   +3 more
wiley   +1 more source

Reconstruction of Axonal Projections of Single Neurons Using PointTree. [PDF]

Bio Protoc
Cai L, Qu X, Wang J, Shen Y, Quan T.
europepmc   +1 more source

Reflections on the Future of Statistics Education in a Technological Era

Teaching Statistics, EarlyView.
ABSTRACT Keeping pace with rapidly evolving technology is a key challenge in teaching statistics. To equip students with essential skills for the modern workplace, educators must integrate relevant technologies into the statistical curriculum where possible.
Craig Alexander, Jennifer Gaskell, Vinny Davies   +2 more
wiley   +1 more source