Results 201 to 210 of about 892 (280)

Integrating multimodal data and machine learning for entrepreneurship research

open access: yesStrategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley   +1 more source

Bias in, symbolic compliance out? GPT's reliance on gender and race in strategic evaluations

open access: yesStrategic Management Journal, EarlyView.
Abstract Research summary Organizations are increasingly using large language models (LLMs) to support strategic evaluations. We examine whether and how these systems rely on gender and race. We asked GPT to evaluate identical startup pitches varying only the founder's name, shaping gender and race perceptions.
Tristan L. Botelho, Qingyang (Iris) Wang
wiley   +1 more source

Machine Learning‐Driven Capillary Microfluidic Design Automation for Programmable Gradient Generation and Antimicrobial Testing

open access: yesSmall, EarlyView.
TCG‐CMDA, a machine learning‐guided capillary microfluidic design automation platform, enables automated design of tree‐shaped concentration gradient generators for programmable mixing of two agents. The pump‐free chip supports synchronized passive flow and programmable gradient formation, providing a practical framework for decentralized point‐of‐care
Mahmood Khalghollah   +4 more
wiley   +1 more source

Toward Practical Searchable Symmetric Encryption

open access: yesToward Practical Searchable Symmetric Encryption
identifier:oai:t2r2.star.titech.ac.jp ...
openaire  

Smart molecular design of NIR‐II organic fluorophores through self‐driven iterative evolution, deep learning, and fragment‐based assembly

open access: yesSmart Molecules, EarlyView.
A smart design strategy for NIR‐II organic fluorophores is proposed by combining self‐driven Iterative evolution, deep Learning, and fragment‐based assembly. This work establishes a broadly applicable approach for molecular design, accelerating the discovery of NIR‐II fluorophores and extending to optoelectronic materials and therapeutic compounds ...
Yu Zhang   +6 more
wiley   +1 more source

Optimal structural design method for reinforced concrete column in buildings with high floor heights using a genetic algorithm

open access: yesStructural Concrete, EarlyView.
Abstract Globally, there is a growing trend toward taller, larger, and more structurally diverse buildings that require expansive interior spaces. Rapid technological advancements have surged the demand for data centers, while the expansion of e‐commerce has increased logistics volumes, driving the need for large‐scale warehouses.
Han Yong Lee   +2 more
wiley   +1 more source

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