At one time or another, nearly everyone has wished they could be in two places at once. Now, with help from advancements in computer vision and artificial intelligence (AI) at the edge, engineers may ...

As drones survey forests, robots navigate warehouses and sensors monitor city streets, more of the world’s decision-making is ...

Transition from the cloud to the edge for generative AI. New product challenges for generative AI at the edge. Choosing an edge AI solution that meets these new challenges. When most people think ...

As a Distributed Computing & Cloud-native Engineer, you don’t just build systems—you help shape the future of how Europe handles data and computing at scale. From AI to edge computing, from ...

Helpful but not required: experience with embedded systems and microprocessors (e.g. COMP_ENG 346, 347, 366, 355), basic understanding of signals and systems (e.g. COMP_SCI 213, ELEC_ENG 222); ...

Building on our legacy in high-performance computing and distributed systems, we bring together world-class teams in ...

Edge computing involves processing and storing data close to the data sources and users. Unlike traditional centralized data centers, edge computing brings computational power to the network's edge, ...

Edge and 5G computing have been promising transformative computing for a number of years, but it's only lately that compelling and viable use cases have been emerging, pushing these technology sets ...

Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation. The deployment of ML models on embedded edge devices, characterized by ...

Over the last decade, we’ve witnessed organizations of all sizes adopt containers to power the great “lift and shift” to the cloud. Looking ahead to the next decade, we see a new trend emerging, one ...