Two ever-popular courses in Duke’s Master of Engineering for MedTech Design program led by industry-seasoned faculty ...

Advances in machine learning and shape-memory polymers are enabling engineers to design for mechanical performance first and ...

From advanced nickel alloys to subsea monitoring systems, this article examines how materials science, surface engineering, ...

Design workflows shift as AI and engineering speed shipping; mockup time drops to 30–40%, changing team roles and review cycles.

How new equipment and methodologies are improving reliability, yield, and time-to-market for multi-die assemblies.

Challenges of Modern Fastening Systems As engineering projects become more complex, the industry is moving away from generic fasteners toward application-specific torx screws solutions. However, this ...

Front-end engineering today is not just about UI implementation — it is increasingly about designing systems and creating the right context for both humans and ...

The goal of engineering design is to address physical needs using practical, analytical, and technical skills to develop robust, efficient, and appropriate solutions. Unlike many of the calculations ...

The industry’s response is to split compute, memory, and I/O across dies, XPU chiplets are pushing toward the reticle limit, and stitch it all together with high‑bandwidth, energy‑efficient die‑to‑die ...

It already exists in the natural world. Now, thanks to breakthroughs in genetic engineering, scientists have created “supersilk.” And it’s poised to upgrade far more than our clothing.

AI-enhanced vision systems automate medical device quality control, replacing manual inspection with flexible solutions.