{"product_id":"ai-for-research-and-scalable-efficient-systems-9789819689118","title":"AI for Research and Scalable Efficient Systems","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003e.- AI4Research 2025.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- \u003cspan lang=\"EN-US\" style=\"font-size: 12.0pt; line-height: 115%; font-family: 'Aptos',sans-serif; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: Aptos; mso-fareast-theme-font: minor-latin; mso-hansi-theme-font: minor-latin; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;\"\u003e\u003cspan style=\"color: windowtext;\"\u003eResearchCodeAgent: An LLM Multi-Agent System for Automated Codification of Research Methodologies.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e.- \u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Georgia',serif; mso-fareast-font-family: Georgia; mso-bidi-font-family: Georgia; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;\"\u003eLLMs Tackle Meta-Analysis: Automating Scientific Hypothesis Generation with Statistical Rigor.\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Georgia',serif; mso-fareast-font-family: Georgia; mso-bidi-font-family: Georgia; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;\"\u003e.- AuditBench: A Benchmark for Large Language Models in Financial Statement Auditing.\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Georgia',serif; mso-fareast-font-family: Georgia; mso-bidi-font-family: Georgia; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;\"\u003e.- Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework.\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Georgia',serif; mso-fareast-font-family: Georgia; mso-bidi-font-family: Georgia; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;\"\u003e.- Empowering AI as Autonomous Researchers: Evaluating LLMs in Generating Novel Research Ideas through Automated Metrics.\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Georgia',serif; mso-fareast-font-family: Georgia; mso-bidi-font-family: Georgia; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;\"\u003e.- Multi-LLM Collaborative Caption Generation in Scientific Documents.\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Georgia',serif; mso-fareast-font-family: Georgia; mso-bidi-font-family: Georgia; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;\"\u003e.- CypEGAT: A Deep Learning Framework Integrating Protein Language Model and Graph Attention Networks for Enhanced CYP450s Substrate Prediction.\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Georgia',serif; mso-fareast-font-family: Georgia; mso-bidi-font-family: Georgia; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;\"\u003e.- Understanding How Paper Writers Use AI-Generated Captions in Figure Caption Writing.\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Georgia',serif; mso-fareast-font-family: Georgia; mso-bidi-font-family: Georgia; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;\"\u003e.- \u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: SimSun; mso-fareast-theme-font: minor-fareast; mso-hansi-theme-font: minor-latin; mso-bidi-theme-font: minor-latin; mso-ansi-language: EN-US; mso-fareast-language: DE; mso-bidi-language: AR-SA;\"\u003e\u003cspan class=\"mx-text mx-name-textPageHeader_subtitle font-style-italic\"\u003eSEAS 2025.\u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Georgia',serif; mso-fareast-font-family: Georgia; mso-bidi-font-family: Georgia; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;\"\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: SimSun; mso-fareast-theme-font: minor-fareast; mso-hansi-theme-font: minor-latin; mso-bidi-theme-font: minor-latin; mso-ansi-language: EN-US; mso-fareast-language: DE; mso-bidi-language: AR-SA;\"\u003e\u003cspan class=\"mx-text mx-name-textPageHeader_subtitle font-style-italic\"\u003e.- \u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Georgia',serif; mso-fareast-font-family: Georgia; mso-bidi-font-family: Georgia; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;\"\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: SimSun; mso-fareast-theme-font: minor-fareast; mso-hansi-theme-font: minor-latin; mso-bidi-theme-font: minor-latin; mso-ansi-language: EN-US; mso-fareast-language: DE; mso-bidi-language: AR-SA;\"\u003e \u003c\/span\u003e\u003c\/span\u003e\u003cspan lang=\"EN-US\"\u003essProp: Energy-Efficient Training for Convolutional Neural Networks with Scheduled Sparse Back Propagation.\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan lang=\"EN-US\"\u003e.- \u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: SimSun; mso-fareast-theme-font: minor-fareast; mso-hansi-theme-font: minor-latin; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;\"\u003eKnowledge Distillation with Training Wheels.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan lang=\"EN-US\"\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: SimSun; mso-fareast-theme-font: minor-fareast; mso-hansi-theme-font: minor-latin; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;\"\u003e.- PickLLM: Context-Aware RL-Assisted Large Language Model Routing.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan lang=\"EN-US\"\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: SimSun; mso-fareast-theme-font: minor-fareast; mso-hansi-theme-font: minor-latin; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;\"\u003e.- ZNorm: Z-Score Gradient Normalization Accelerating Skip-Connected Network Training without Architectural Modification.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan lang=\"EN-US\"\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: SimSun; mso-fareast-theme-font: minor-fareast; mso-hansi-theme-font: minor-latin; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;\"\u003e.- \u003c\/span\u003e\u003c\/span\u003e\u003cspan lang=\"EN-US\"\u003eThe Impact of Multilingual Model Scaling on Seen and Unseen Language Performance.\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan lang=\"EN-US\"\u003e.- \u003c\/span\u003e\u003cspan lang=\"EN-US\"\u003eInformation Consistent Pruning: How to Efficiently Search for Sparse Networks?.\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan lang=\"EN-US\"\u003e.- \u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: SimSun; mso-fareast-theme-font: minor-fareast; mso-hansi-theme-font: minor-latin; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;\"\u003eEfficient Image Similarity Search with Quadtrees.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53212889776471,"sku":"9789819689118","price":64.99,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/ai-for-research-and-scalable-efficient-systems-9789819689118","provider":"Book Curl","version":"1.0","type":"link"}