AI中的”I”除了智慧,還需要什麼?

演講摘要

洞見(Insight)。落實(Implementation)。整合(Integration)。

AI人工智慧(artificial intelligence)正在改寫我們的世界:從產品的設計、製造到商業模式。從而對於需要將AI融入於系統之中的人來說,無疑也是全新的挑戰。建立”AI導向”的系統,遠比起開發智慧演算法來說需要的多更多,包含:

洞見(Insights):需要借助各領域專家的專業洞察,來建立必要的測試、建模及情境,讓整體系統能夠有信心運作起來。
落實(Implementation):包含許多細節例如資料準備、運算平台的選擇、建模與模擬,以及自動產生程式碼等。
整合(Integration):最終工程系統的整合。

這段演講中,Abhijit Bhattacharjee將展示工程師與科學家如何運用MATLABR和SimulinkR成功地設計及結合AI於新一代的智慧、相互關聯的系統。


Keynote: Beyond the “I” in AI

Insight. Implementation. Integration.

AI, or artificial intelligence, is transforming the products we build and the way we do business. It also presents new challenges for those who need to build AI into their systems. Creating an “AI-driven” system requires more than developing intelligent algorithms. It also requires:

Insights from domain experts to generate the tests, models, and scenarios required to build confidence in the overall system

Implementation details including data preparation, compute-platform selection, modeling and simulation, and automatic code generation Integration into the final engineered system

Abhijit Bhattacharjee demonstrates how engineers and scientists are using MATLABR and SimulinkR to successfully design and incorporate AI into the next generation of smart, connected systems.