Results 171 to 180 of about 603,661 (358)
This study introduces a modular lab automation system with affordable robotics and artificial intelligence (AI), enabling flexible, human‐in‐the‐loop task orchestration. Key features include dynamic task recording, efficient data management, and AI‐assisted measurements.
Stefan Conrad+3 more
wiley +1 more source
ChatMolData: A Multimodal Agent for Automatic Molecular Data Processing
While large language models (LLMs) struggle with molecular data due to single‐modality limitations, ChatMolData—a multimodal agent for processing databases, images, structure files, and documents—is presented. It combines LLMs with tools for retrieval, structuring, prediction, visualization, and search, achieving > 90% accuracy across 128 tasks.
Yi Yu+5 more
wiley +1 more source
Robust optimization and mixed-integer linear programming model for LNG supply chain planning problem
A. K. Sangaiah+3 more
semanticscholar +1 more source
This study proposes a hardware‐efficient training methodology for crossbar arrays mapped with convolutional kernels in distributed computing systems. The approach is robust to variations in analog devices, minimizes disturbances during parallel writing operations, reduces stress on hardware, and accelerates the training process.
Jaehyeon Kang+3 more
wiley +1 more source
High-Multiplicity Fair Allocation Using Parametric Integer Linear Programming
Using insights from parametric integer linear programming, we significantly improve on our previous work [Proc. ACM EC 2019] on high-multiplicity fair allocation.
Bredereck, Robert+3 more
core
Optimal Airport Surface Traffic Planning Using Mixed-Integer Linear Programming [PDF]
Paul C. Roling, H.G. Visser
openalex +1 more source
A Field Programmable Gate Array‐Assisted Optoelectronic Emulator for Photonic Neuromorphic Computing
This work presents a hybrid optoelectronic architecture using field‐programmable‐gate‐array‐controlled optical components for multiplication operations. Data are encoded via electro‐optic modulator, weights are programmed via a variable optical attenuator, and results are detected by a photodetector.
Jinxian Li+5 more
wiley +1 more source
Improving Long‐Term Glucose Prediction Accuracy with Uncertainty‐Estimated ProbSparse‐Transformer
Wearable devices collect blood glucose and other physiological data, which serve as inputs to the prediction model. After data embedding, a structure utilizing ProbSparse self‐attention and a one‐step generative head within a Transformer‐based model is introduced, which is concurrently designed for deployment on edge devices, enabling real‐time ...
Wei Huang+5 more
wiley +1 more source