Cloud bills rising? Here's how AI-powered rightsizing, predictive autoscaling and real-time anomaly detection can lower spend ...

Computer-aided design (CAD) systems are tried-and-true tools used to design many of the physical objects we use each day. But ...

Digital engineering and modeling and simulation (M&S) are transformative approaches that enable precision, efficiency and ...

Neural Concept, a Lausanne-based AI company focused on rethinking how complex products are designed and engineered, has ...

Surendra Konathala framework contributes to that shift by articulating how intelligent content systems can operate responsibly under real-world constraints. It demonstrates how engineering decisions ...

1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...

Leading CTOs and CISOs unpacked the realities of protecting data, ensuring compliance, and managing AI-driven risks. Key ...

Saqib's model automates this principle by continuously verifying and validating user and system behavior against an established pattern of life.

With AI ambitions outpacing data readiness, CIOs must renovate their data strategies to create unified, AI-ready foundations ...

UB scholars are leading a new wave of artificial intelligence-driven projects that aim to provide doctors with advanced tools ...

Step inside the Soft Robotics Lab at ETH Zurich, and you find yourself in a space that is part children's nursery, part ...