This seminar is part of the Research Semester Programma 'Democratizing real-world problem tailored optimization '.

Reduce abandonment, increase AOV, and scale checkout reliability with UX, payments, performance, and testing best practices.

Digital twins revolutionize drug discovery by integrating AI and biological data, enhancing prediction, trial design, and decision-making in precision medicine.

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has long been slow, expensive, and heavily empirical. Machine learning is now ...

Manufacturing-first platform unifies design and production with automated engineering intelligence, cutting design cycles by ...

Biohacking evolved from wearables to tech implants. As grinders embed chips and magnets in their bodies, we take a look at ...

In the competitive world of electronics manufacturing, a profound truth often goes unrecognized until expensive lessons force ...

NTN applies AI and machine learning to accelerate bearing design, cut analysis time and reduce engineering workload.

In one instance, to further enhance output voltage swing and linearity, the authors propose a novel “breakdown-voltage (BV) ...

An AI-integrated infrastructure framework embeds real-time diagnostics, reinforcement learning, and multi-agent coordination into distributed ...

Uplift360 navigates Europe’s growing ecosystem of dual-use and strategic-materials innovators with a chemical technology that ...