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AI 賦能工程

一切皆有解|強大的 AI 解決方案

Altair 在整個產品生命週期內釋放人工智慧 (AI) 潛力,為 AI 驅動的工程設計樹立了標準。Altair 藉由將 AI 無縫嵌入設計和模擬工具,加速探索和創新。整合的使用者友善工作流程與隨選的高效能運算 (HPC) 資源結合,使團隊能運用專業知識增強 AI。Altair 全方位 AI 支援平臺將 AI 功能從設計和開發擴展到產品服務,從而提高營運效率,極大化 ROI。

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AI 賦能工程:從起步到精通

獲取在企業中掌握 AI 應用所需的專家知識和見解,以及駕馭此一流程和衡量成功與否的實用步驟。

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工程的未來是 AI

  • 強化您的模擬:AI 驅動的工作簡化了 CAE,加速產品開發效率。
  • 釋放預測潛能:幾何深度學習在最短的時間內提供可靠的物理預測。
  • 將資料轉化為洞察力:輕鬆管理 CAD、CAE 和測試資料以獲取面向未來的知識。
  • AI 應對每一個挑戰:使用先進的系統模擬方法,在資料有限的情況下保證精確度。
  • 無縫導入 AI 應用:無代碼工作流程與隨選 HPC,讓 AI 整合更簡單
  • 協作創新:統一環境使相關單位皆可運用 AI,最大化投資回報率。

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突破性創新

透過嵌入式人工智慧,探索設計的速度比基於物理的模擬快 1,000 倍。

產業領先的嵌入式 AI,徹底改變了工程流程,透過模擬和測試資料發掘隱藏的洞察力,進行更可靠的預測,並優化效率。

瀏覽產品

AI 驅動的工作流程

優化 HPC 運用,簡化資料管理,結合專業知識,強化 AI 效能。

利用可輕鬆存取的 HPC 平台簡化設計週期和流程。獲益於 GPU 加速的 AI 模型訓練和資料生成工作流程,設計簡單,無需專業的資料科學或 IT 背景知識。

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從設計到投入產出

一體化 AI 支援平台,實現更智慧的產品工程和更明智的商業決策。

Altair 的自助式、無代碼到全代碼資料分析與 AI 平臺,使用戶都能利用營運資料加速永續生產、減少浪費、提高效率,展開全新商機。

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AI 驅動工程設計與商業解決方案

特色資源

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100 AI-Powered Engineering Use Cases

Explore how artificial intelligence is redefining the engineering landscape across 100 powerful use cases. Discover how these real-world applications are not only solving complex engineering challenges but are also setting new standards for the future.

Use Cases

Is Data Science in Engineering Really the Industry’s New Superhero?

Explore the transformative impact of data science in engineering with Altair® HyperWorks®, revolutionizing design, simulation, and predictive maintenance workflows for optimal outcomes.

Featured Article

Creating Tomorrow Panel: Innovating with AI-Powered Engineering

Panel discussion presented as part of Altair's Future.Industry 2024 conference.

Panelists:
Dr. Fatma Kocer | VP Engineering Data Science, Altair
Martin Ortega Breña | Design Manager, Mabe
Carlos Lopes | Director of Advanced Engineering - Americas, Maxion Wheels
Dr. Donald Harby | Data Science and Machine Learning Engineer (Data Scientist), John Deere
Carsten Buchholz | Project Engineer - Hybrid Electric Flight Demonstrator, Rolls Royce

Engineering processes are fast evolving to a new paradigm of hybrid physics and data-driven modeling. Despite the focus on algorithm development for data science, the real challenge in this evolution is identifying value-added use cases and collecting the necessary data. This panel comprises four domain experts who have successfully worked through this challenge in their respective industries. We will ask what value they have identified for data-driven engineering, how they proceeded with their projects, how successes are measured, and how they envision the future of engineering data science. We also have an opportunity to get feedback on what they found helpful from Altair's offerings and collect their thoughts to shape our products.

Future.Industry

ATCx AI for Engineers 2024 Presentations

This immersive online event delves into the latest AI-driven tools and strategies for optimizing workflows, accelerating innovation, and achieving a safer, more connected, more sustainable future.

Event Presentations
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