As AI adoption accelerates, workloads are no longer confined to centralized datacenters. Instead, AI is scaling across cloud infrastructure, edge systems, industrial platforms, robotics, and physical AI devices. This shift is fundamentally changing how systems are designed. While CPUs, GPUs, and other accelerators continue to anchor AI performance, modern architectures are becoming more modular, more distributed, and far more dependent on the silicon that surrounds those primary compute engines....
Read more...
That question opens Lattice Semiconductor’s recent Security Seminar, and it becomes more urgent as humanoids move beyond research environments and begin operating around and interacting with people. Mechanical safeguards and functional safety standards address only part of the risk. When control systems, firmware updates, or data paths can be compromised, security directly determines physical safety.
In this seminar, experts from Lattice Semiconductor, SEALSQ, and Promwad examine the real...
Read more...
The humanoid robotics market is moving quickly from concept to commercial reality. Work that once belonged in research labs is now appearing in factories, warehouses, and service environments due to major improvements in sensing, actuation, and edge intelligence.
As these systems take on more complex workloads, developers must deliver dense sensor fusion, sub microsecond motor control loops, and real time perception within tight power and thermal limits. The central question is no longer whethe...
Read more...