NextFlex AI Webinar Series

At the NextFlex AI for Hybrid Electronics Workshop in Boston in June of 2025, leaders from across the industrial base came together to explore how artificial intelligence (AI) and machine learning (ML) are transforming design, materials, process control, and system intelligence in hybrid electronics and how they will continue to revolutionize the value chain.

From smarter circuit layout and toolpath optimization to predictive maintenance and real-time closed-loop control, the workshop highlighted both promising applications and the roadblocks we must overcome together—like data interoperability, workforce readiness, and IP protection.

NextFlex is building on this momentum to engage the industrial base in a national conversation on AI’s role in electronics manufacturing. Through ongoing webinars, workforce initiatives, and roadmap development, we’ll continue to surface best practices, accelerate adoption, and share actionable insights with our community.

Watch recordings of past webinars:

AI for Hybrid Electronics – Workshop Outcomes & What’s Next
Accelerating Hybrid Electronics R&D with AI Automation – Presented by Object Tech
AI Opportunities in Electronics Manufacturing and Reliability
Harnessing the Power of AI in FHE Design – Understanding Challenges and Unlocking Opportunities

Stay tuned for upcoming AI webinars!

AI for Hybrid Electronics – Workshop Outcomes & What’s Next

At the webinar on October 29, we unpacked the key takeaways from the AI Workshop and shared how NextFlex is advancing AI adoption in hybrid electronics through upcoming initiatives and industry engagement.

Watch the Recording:

View the Slides:

AI for Hybrid Electronics – Workshop Outcomes & What’s Next

Accelerating Hybrid Electronics R&D with AI Automation – Presented by Object Tech

Hybrid Electronics development demands precision across materials, printing, and process control — yet traditional methods rely heavily on manual inspection and trial-and-error optimization. On November 12, Dr. Jiaojiao Li, Co-Founder & CPO of Object, introduced how Agentic AI tools can automate critical steps in R&D, from defect inspection and classification to critical dimension (CD) metrology, anomaly detection, experiment optimization, and property prediction.

Drawing on Object’s recent pilot with flexible hybrid electronics program, Jiaojiao shared how domain-specific AI tools, models and agents can help scientists and engineers predict outcomes, identify defects faster, and optimize processes in real time. Attendees gained insight into the next generation of AI-powered R&D workflows and how these tools can potentially transform productivity and reliability across the hybrid electronics ecosystem.

Watch the Recording:

AI Opportunities in Electronics Manufacturing and Reliability

Miniaturization and heterogeneous integration technologies are increasing the complexity of semiconductor packaging, making AI essential for optimizing design, manufacturing, and reliability. On December 3, Professor Pradeep Lall gave insights into core concepts and practical applications, supported by packaging case studies that demonstrate how AI can address critical challenges.

The presentation included selected AI models and their application in analyzing process data for anomaly detection, root cause analysis, and real-time adjustment of process parameters. This webinar recording is particularly suited for packaging engineers, process specialists, reliability analysts, and technical managers who are looking to leverage AI for faster time-to-market, improved yield, and enhanced product reliability.

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Harnessing the Power of AI in FHE Design – Understanding Challenges and Unlocking Opportunities

The role of artificial intelligence (AI) in electronics design has become increasingly important due to a combination of factors, including a workforce crunch, the explosion of complexity and cost, and tighter delivery schedules. This session explored the significance of AI in design considering these factors and highlights the benefits it brings to address the challenges faced by the industry. The webinar also addressed risks to deploying AI technology in a design process and covered practical ways that AI can be applied to design for assistive development, design optimization through deep learning, and generative processes that address highly complex problems.

Watch the Recording: