Silicon photonics didn’t become a manufacturing reality overnight, and few people have shaped that journey as directly as Dr. Yusheng Bian. Recently named an Optica Fellow for transformative contributions to silicon photonics, Bian has spent almost a decade at GF advancing the innovations that underpin scalable, high‑volume CMOS platforms. Following his recognition as an Optica…
Quantum computing is no longer science fiction confined to the lab. It is a new computing paradigm with the potential to solve problems beyond the reach of classical systems. From simulating complex molecules for new drugs to discovering new materials, quantum computers will transform entire industries. But building quantum computers at scale requires more than…
This article was originally published on EDN and is republished here with permission. Read the original article on EDN. The rapid adoption of artificial intelligence (AI) across consumer and commercial markets is driving unprecedented investment in high-performance computing and networking. As AI models scale and proliferate across diverse applications, demand for compute power keeps rising.…
As cloud infrastructure scales and AI workloads accelerate, data centers face unprecedented demand to deliver dramatically higher bandwidth with greater energy efficiency. While compute performance rapidly advances, the system bottleneck has shifted to the optical interconnects and transceivers that link these systems together. Achieving longer reach, higher bandwidth density and lower energy per bit now…
How GlobalFoundries and MIPS enables “sense–think–act–communicate” architectures for radar, SATCOM, and electromagnetic advantage. Defense RF platforms are evolving from “sense-and-stream” architectures to “sense–think–act–communicate” Physical AI architectures where inference and control occur as close to the antenna as possible to shorten decision loops and improve performance in contested environments. This shift is driven by rapidly increasing…
As Physical AI moves from concept to deployment, intelligence must be distributed across machines at the edge, in real time and under strict power, latency, safety and cost constraints. To prepare for the Physical AI era to take off, GF acquired MIPS, a leading provider of AI and embedded processor IP, software and tools. We…
As the aerospace and defense community gathers at the GOMACTech Conference next week, industry leaders will focus on non-negotiables in the industry including assured access; trusted supply for uncompromised integrity and confidentiality; and modernization activities to innovate national defense systems. However, none of that progress is sustainable without manufacturing that is secure, scalable and built…
Today, AI lives mostly in the cloud, but the next wave is bringing intelligence into the physical world. From vehicles and robots to industrial systems and wearables, Physical AI is enabling machines to sense, think and act in real time, under strict power and latency constraints. That shift toward real‑time secure compute is redefining what…
Today, Physical AI is already taking shape in the real world—appearing in everything from self‑driving vehicles navigating cities from San Francisco to Shenzhen, to autonomous robots operating in industrial warehouses and drones delivering packages. But the future of Physical AI will extend even further, spanning everything from humanoid robots to autonomous imaging systems in healthcare…
Sense – analyze – act. This is the principle that advanced driver assistance systems (ADAS) operate on. Modern vehicles rely on a network of sensors to build a more precise, reliable perception of their surroundings. Sensor fusion combines these inputs – from radar, camera, LiDAR, and ultrasound – with artificial intelligence and deep learning to…