A study reveals random exploration outperforms focused analysis—shedding scientific light on non-ordinary ways of knowing.
By now, ChatGPT, Claude, and other large language models have accumulated so much human knowledge that they're far from simple answer-generators; they can also express abstract concepts, such as ...
Abstract: Energy Internet and system integration promote the development of green energy, but the battery recycling problem is becoming increasingly serious, especially the proliferation of used ...
Abstract: Significant advancements in deep learning have been made possible by the utilization of large datasets, underscoring the critical importance of copyright protection. Adding meticulously ...
This academic seminar series explores a broad range of topics such as data science, urban planning and urban networks and ...
ABSTRACT: This paper introduces a method to develop a common model based on machine learning (ML) that predicts the mechanical behavior of a family with three composite materials. The latter are ...
OBJECTIVE: Obesity is a global health problem. The aim is to analyze the effectiveness of machine learning models in predicting obesity classes and to determine which model performs best in obesity ...
The application of deep learning algorithms in protein structure prediction has greatly influenced drug discovery and development. Accurate protein structures are crucial for understanding biological ...
Salesforce exec Jayesh Govindarajan told BI having "agency" and "drive" to get something built to solve a problem is a key ...
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