All Thought Leadership

Thought Leadership

How to make healthcare systems that rival science fiction – Transcript

October 16, 2026

Uncover the pillars needed to bring future healthcare systems to the present.

By Shawn Wasserman

Thought Leadership

How to secure Life Sciences without hindering user experiences – Transcript

October 09, 2026

Secure Life Sciences technologies must be balanced. If they are too hard to use, patients and doctors will reject them.

By Shawn Wasserman

Thought Leadership

How to secure the future of the green hydrogen market – Transcript

October 07, 2026

The green hydrogen market will play a significant role in the electrification of the energy sector. But many uncertainties remain.

By Shawn Wasserman

Thought Leadership

Building a digital first future for semiconductors

October 07, 2026

Bringing chips from concept to reality is a monumental task that requires vast expertise across many specialized disciplines, with the...

By Spencer Acain

Thought Leadership

Industrial AI, Robotics and the Future of Factory Automation

October 06, 2026

Early applications of artificial intelligence in industrial environments consisted mostly of predictive maintenance algorithms, generative copilots and constrained pilots for...

Verification Horizons

Discover a smarter approach to In-System Test verification at ITC 2026

October 06, 2026

In-System Test is rapidly becoming a critical capability for advanced silicon, enabling new approaches to manufacturing test, silicon health monitoring,...

By Jake Wiltgen

Thought Leadership

How green hydrogen can energize a better energy transition – Transcript

October 06, 2026

Not every technology can run on electricity, they need fuel. This is why green hydrogen is so vital.

By Shawn Wasserman

Thought Leadership

What it takes to power a humanoid robot-podcast transcript

October 02, 2026

Dale Tutt: Just kind of having this mindset of, or this picture in my mind of you’re working on the chemistry...

Thought Leadership

The promising future of AI tech in Life Sciences – Transcript

October 02, 2026

The promise of AI tech in Life Sciences can only come true if vast sums of data are digital twin ready.

By Shawn Wasserman