Optical Networks-on-Chip (ONoC) represent a paradigm shift in on-chip communication architectures, integrating optical interconnects to overcome the limitations of traditional electronic networks. By ...

With the joint aim of revolutionizing network technologies, the Fraunhofer Heinrich Hertz Institute(HHI) and Japan's National Institute of Information and Communications Technology (NICT) have ...

Broadcom Inc. today debuted two new chips, the Sian3 and Sian2M, that data center operators can use to power their optical networks. Optical networks are often used to link together the servers in ...

A new version of Cisco’s Routed Optical Networking promises to simplify complex, multilayer networks by converging the IP and optical layers and minimizing the functional overlap. The software is ...

MOFN: Managed optical networks become the backbone of enterprise connectivityBy Brett Van Rooyen, Senior Pre-Sales Engineer, NEC XONIssued by Scarlet Letter for NEC XONJohannesburg, 23 Apr 2026 Brett ...

The European Space Agency has picked Canadian small satellite operator Kepler Communications to lead a hosted payload mission ...

The Kepler Network aims to streamline on-orbit communications with a network infrastructure designed to act as Internet exchange points (IXP) for space-to-space data relay. Credit: Kepler ...

The proliferation of artificial intelligence workloads is creating concern about the ability of data center networks to keep up with demand. One part of the solution is co-packaged optics (CPO), which ...

Verified by VIAVI OneAdvisor, the breakthrough deployment in West Palm Beach delivers carrier-grade performance without fiber's delays, vulnerabilities, or spectrum constraints -- and is ready to ...

Addressing a major roadblock in next-generation photonic computing and signal processing systems, researchers in the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have ...

Optical networking and memory have emerged as the two dominant themes, driven by the explosive growth in AI inference demand ...