Flexible automation powered by AI podcast transcript

Humanoid robots bring humanlike flexibility while not being limited by human anatomy. Additionally, humanoids combine human compatibility with scalable, software-driven intelligence to unlock flexible automation that fits existing environments while enabling new levels of efficiency.

The AI putting the “human” in humanoid

Due to advances in AI, sensors and computing power humanoids can perceive and adapt with a level of flexibility that closely mirrors human performance.

Automotive digital twin connecting simulation, AI, and engineering data to eliminate workflow bottlenecks and accelerate product development.

Simulation Is No Longer The Bottleneck — But Something Else Might Be

For a long time, simulation was clearly a bottleneck. Runs took hours or days, compute capacity was limited, and design…

Enterprise professional leveraging artificial intelligence to scale AI use cases from pilot projects to global deployment in the automotive industry

From Pilot to Scale: How Automotive Companies Successfully Deploy AI Use Cases at Global Level

Leading large-scale digital transformation initiatives in automotive requires more than technology. It demands structure, governance, and execution excellence. In today’s…

Humanoids: a new step in automation evolution

Once limited to eye‑catching technology demonstrations, humanoids are now approaching production readiness, driven by meaningful advances in battery technology, artificial intelligence, sensors and computing power.

Sleek silver electric sports car in side profile against a dark blue background, with large “AI” text behind it, representing AI-powered automation and agentic workflows in automotive engineering

End-to-end automation & agentic workflows

Innovation that truly empowers engineers A day in the life: Practical engineering use case Imagine you’re an automotive engineer developing…

The major shift toward humanoids podcast transcript

Humanoid robots are transforming from technology showcases to practical, scalable solutions for real-world factories. And nowhere is this shift more meaningful than in brownfield environments, the legacy factories that make up the vast majority of global manufacturing.

Topics in AI Systems: Part III — GNN+LLM Architecture and Implementation Patterns

In Part I of this series, we explored why fusing Graph Neural Networks (GNNs) and Large Language Models (LLMs) is…

Why OEMs must increase simulation adoption

Efficiency in manufacturing is key to ensuring competitiveness for years to come. Manufacturers around the world work to tackle labor…