Blending ‘old-fashioned’ logic systems with the neural networks that power large language models is one of the hottest trends ...
Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...
A 47-year-old man with discomfort in the upper chest, difficulty swallowing food and drinks, and weight loss of 10 kg over 2 months underwent computed tomography (CT), which excluded malignancy but ...
Abstract: In recent years, many evolutionary algorithms and population-based algorithms have been developed for solving many-objective optimization problems. Inspired by the human brainstorming ...
Abstract: This paper proposes a multi-objective Gannet Optimization Algorithm (MOGOA) to address the issue of unbalanced train occupancy rates in railway train operation planning. MOGOA employs an ...
AI assurance is like a check-up for AI systems. It means making sure that AI is built and used in a way that is safe, ...
We evaluate DeepCode on the PaperBench benchmark (released by OpenAI), a rigorous testbed requiring AI agents to independently reproduce 20 ICML 2024 papers from scratch. The benchmark comprises 8,316 ...
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Computational nanoelectronics is an emerging multi-disciplinary field covering condensed matter physics, applied mathematics, computer science, and electronic engineering. In recent decades, a few ...
This paper presents a new methodology to optimize the Airport Check-in Counter Allocation Problem. The methodology combines optimization, simulation and adjacent resource scheduling and aims to ...
Frequency dispersion is critical in designing metasurfaces, which enables advanced functionalities such as enhanced light-matter interaction and tailored wave propagation. In this paper, we ...
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