As physical AI moves from conference-stage ambition into real industrial experimentation, the infrastructure question is becoming harder to ignore. Robots, humanoids, autonomous systems and industrial AI workloads do not just need more compute. They need faster…
Silicon Carbide (SiC) is a wide-bandgap semiconductor that operates at higher voltages and temperatures than conventional silicon, with far lower energy losses. According to Infineon's Peter, SiC is now actively deployed in electric vehicles, renewable energy…
Industrial Autonomy (IA2IA) is Yokogawa's framework for moving plants beyond predefined automation rules. Nick Clark, a Yokogawa representative, describes IA2IA as applying AI, robotics, and advanced integration so industrial systems identify issues, make adjustments, and keep…
The convergence of artificial intelligence and edge computing is fundamentally transforming how energy companies generate, distribute, and manage power across increasingly complex grids. From real-time predictive analytics at wind farms to autonomous load balancing at substations,…
As data continues to explode across industries and geographies, the conversation is shifting—from what can be done in the cloud to what must be done at the edge. And right in the middle of this shift…
As industrial AI workloads grow in complexity and regulatory scrutiny, the question of where data lives and who controls it has become a strategic priority for manufacturers and critical infrastructure operators across Europe. In this article,…
Physical AI represents a fundamental shift in how intelligent systems interact with the real world. Unlike traditional software-based AI that processes data in the cloud, physical AI embeds perception, decision-making, and learning directly into robots and…