Have you ever thought about how and why something was designed? Who was considered a “stakeholder” for the design? And what biases are baked within the process of designing something? These are some ...

At the Paul M. Rady Department of Mechanical Engineering, the process and application of design is everywhere. Students are constantly designing tools and technologies. Faculty members are launching ...

Neural Concept aims to accelerate these timelines by integrating AI directly into CAD and physics-based simulation environments. With its software, teams can explore numerous design specifications ...

2025 has seen a significant shift in the use of AI in software engineering— a loose, vibes-based approach has given way to a systematic approach to managing how AI systems process context. Provided ...

Sr. Director of Product at Aisera, Jigar brings 15+ years in enterprise AI, GenAI innovation, agentic automation and product-led growth. Enterprise AI is in the midst of a fundamental shift. The early ...

Companies are realizing that higher AI productivity does not come from using bigger models, but rather from using AIs that understand the context they operate in. Context helps AI interpret ...

What if the secret to unlocking the full potential of AI in coding isn’t about crafting the perfect prompt but about designing the perfect environment? Imagine an AI system that doesn’t just guess at ...

What if the secret to unlocking the full potential of AI coding agents isn’t in the algorithms themselves, but in the way we communicate with them? Imagine an AI tasked with refactoring a sprawling, ...

Context is the bedrock on which meaningful interactions are built. We’re at the brink of a major shift in AI. What began as simple, task-specific models is now evolving into something far more ...

Agentic AI systems need a deep understanding of where they are, what they know, and the constraints that apply. Context engineering provides the foundation. Enterprises have spent the past two years ...