本文介绍一个完整的"AI智能体工厂"平台的设计与实现。该平台以本体模型（Ontology Model）作为中间表示层，打通了从原始业务需求到可运行AI智能体的完整链路：需求探索 → 本体建模 → 可视化验证 → 能力代码生成 → 技能封装 → Agent动态发布。 今天完整分享下最近通过AI编程实现的一个基于本体模型+AI大模型驱动的端到端AI智能体交付平台。包括需求分析，整体设计，核心功能实现。

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Renesas Electronics Corporation, a supplier of advanced semiconductor solutions, has announced that a Renesas subsidiary has ...

Validating a single-item screener for low digital health literacy among surgical oncology patients. This is an ASCO Meeting Abstract from the 2026 ASCO Annual Meeting I. This abstract does not include ...

Libraries such as YData Profiling and Sweetviz help detect patterns and data quality issues Automation reduces repetitive coding and speeds up data science workflows Before any model gets trained and ...

Silimate co-founder and CEO Ann Wu M.S. ’23 demonstrated how the startup’s AI copilot can identify bugs, trace root causes and optimize chip performance at a Monday talk. The event was hosted by ...

Functional verification ensures that the register transfer layer (RTL) implementation of semiconductor designs operates according to specified requirements. Electronic engineers typically perform ...

Abstract: This work presents the steps to build a parameteriz-able process design kit (PDK) for the 6-layer organic electronics process from Smartkem that includes a set of parameterizable cells, the ...

Artificial intelligence (AI) and machine learning (ML) are playing an increasingly crucial role in optimizing electronic design automation (EDA) across the semiconductor industry. This article ...

Python, a versatile and powerful programming language, offers a range of libraries specifically designed for data visualization. These libraries provide tools to create everything from simple charts ...