Share on:

Share on LinkedIn Share on X Share on Facebook Share with email


Subscribe

Stay ahead of the technologies shaping the future of electronics with our latest newsletter, Advanced Electronics Packaging Digest. Get expert insights on advanced packaging, materials, and system-level innovation, delivered straight to your inbox.

Subscribe now to stay informed, competitive, and connected.

Suggested Items

SMT Perspectives & Prospects: Artificial Intelligence, Part 7—Data Module 2

04/08/2026 | Dr. Jennie Hwang -- Column: SMT Perspectives and Prospects
When I last wrote about data, I focused on data quality and size, data infrastructure, the boundaries of data training, data preparation, and the general challenges and concerns of data. This month, I will focus on alternative approaches, data governance, retrieval-augmented generation (RAG), and agentic RAG.

Is AI in Design the Magic Tonic for All That Ails Us?

03/20/2026 | David Wiens, Siemens
In electronic systems design, engineering teams are pressured by management to adopt AI wherever possible to reduce design cycle time and cost. Engineers look at AI with a wary eye: Will it consistently return accurate results? Will it take longer to set up, train, run, and verify than doing it manually? Will it replace me? Yes, there is a transition with AI, but it’s no different than any other form of automation. It must be extensively

SMT Perspectives & Prospects: 12 Predictions for Using AI in 2026

01/21/2026 | Dr. Jennie Hwang -- Column: SMT Perspectives and Prospects
At a committee meeting in Washington, D.C., someone asked me if I think AI is a bubble. Over the past several months, this has become a prevalent and pervasive question in both business circles and broader society. Yet, despite its ubiquity, no one had ever asked me that question directly, and especially with such immediacy in front of a committee. My instinctive reply was, “It depends on how you define the bubble. It is certainly not an internet bubble.” The querier lamented, almost disappointed, “Well, you are in the minority.”

Diverging Humanoid Robot Strategies: Japan Advances Core Components, While the U.S. and China Scale Full-System Applications

12/10/2025 | TrendForce
Major economies globally are advancing humanoid robot development. Japan is focusing on improving essential components like actuators, sensors, and control systems to increase the entry barrier.

SMT Perspectives & Prospects: Artificial Intelligence Part 6: Data Module 1

10/07/2025 | Dr. Jennie Hwang -- Column: SMT Perspectives and Prospects
Data is one of the six pillars of AI infrastructure. It is critical to the performance of artificial intelligence (AI) models. AI data, essential to both the training and inference of Generative AI models, connotes the datasets used to train, validate, and test AI models. Training data provides models with a frame of reference by establishing a baseline against which models can compare new data using pre-trained models for predictions or generating new content.
Copyright © I-Connect007 | IPC Publishing Group Inc. All rights reserved. Log in