Our Events

Series Webinar ứng dụng MATLAB/Simulink trong bài toán điều khiển động cơ PMSM: Tham gia ngay để khám phá các bước thiết kế, mô phỏng và tích hợp thuật toán điều khiển động cơ. Đăng ký ngay!

เชิญเข้าร่วมสัมมนาออนไลน์ในหัวข้อ "Model-Based System Engineering with MATLAB & Simulink Tools "ร่วมเรียนรู้การพัฒนา Model-Based System ด้วยเครื่องมือ MATLAB & Simulink ที่จะช่วยให้คุณสามารถจัดการระบบที่ซับซ้อนได้อย่างมีประสิทธิภาพและง่ายดายยิ่งขึ้น

Khám phá tiềm năng của AI trong robot tự hành: nhận thức tiên tiến, lập kế hoạch chuyển động.Nâng cao khả năng nhận thức và điều khiển robot, hướng đến tự động hóa hoàn toàn.Tiết kiệm thời gian, tăng hiệu suất, giảm thiểu thao tác thủ công.Triển khai thuật toán học sâu dễ dàng với ROS Toolbox của MATLAB.

In this webinar, we show how easy it is to apply artificial intelligence (AI) capabilities to solve wireless communications problems in MATLAB. You learn how to be more efficient by using ready-to-use algorithms and data generated with MATLAB and wireless communications products

Dalam webinar ini, kami ingin membahaskan Predictive Maintenance, Sistem Visual Inspection, dan Artificial Intelligent (AI) untuk menggunakan Robot dalam Industri Semikonduktor dengan MATLAB. Jangan lewatkan peluang untuk mengetahui bagaimana teknologi ini dapat meningkatkan efisiensi operasi dan mencapai kesuksesan dalam industri anda!

เชิญร่วมสัมมนา: AI Empowerment for Autonomous Robotics with MATLAB ร่วมค้นพบโลกของหุ่นยนต์ที่ขับเคลื่อนด้วย AI กับ MATLAB และ Simulink ที่เติบโตอย่างรวดเร็ว

In this workshop, you will learn about the Model-Based Design workflow using HLS block set of Model Composer, how to set up the Simulink model using blocks from HLS library, and do automatic code generation.

Join our AI webinar series to revolutionize manufacturing with visual inspection, predictive maintenance, and process control optimization.

Artificial Intelligence, particularly deep learning, is revolutionizing automation and business processes. It excels in solving intricate challenges related to images, signals, text, and controls, delivering human-like accuracy in tasks such as object recognition and path optimization. However, it involves assembling vast datasets, building neural networks, training and evaluating models, often requiring specialized hardware and complex theoretical understanding.