Today marks an important step, as we continue scaling our network and moving closer to commercial service. We are accelerating deployment of our constellation, advancing integration with leading mobile network operators, and preparing to deliver seamless, space-based cellular broadband directly to everyday smartphones, bringing us closer to connecting people everywhere.
Cisco's Universal Quantum Switch addresses the challenge of connecting quantum systems by routing quantum information while preserving it, a significant advancement in quantum networking.
Ramana Kompella explained that traditional routing methods such as TCP/IP are not suitable for quantum networks because they rely on classical physics. Quantum networks utilize entanglement, where endpoints are connected using entangled photon pairs, allowing for instantaneous information transfer once entanglement is established.
On March 28th, 50.1 percent of the traffic the company detected used IPv6, up from 46.33 percent a year earlier. Google's data records plenty of days over the last year when IPv6 carried over 49.5 percent of traffic, and a slow climb towards greater prevalence of traffic using the protocol.
Across 2025 as a whole, the company tracked more than 180 significant disruptions, with the final quarter dominated by cable damage, power problems, and routine operational failures. There was just one confirmed government-directed shutdown during the period. Tanzania saw a sharp drop in internet traffic on October 29 as violent protests broke out during the country's presidential election, with traffic falling by more than 90 percent. Traffic returned briefly before declining again, and routing data pointed to throttling rather than a clean shutdown.
Edge computing is a type of IT infrastructure in which data is collected, stored, and processed near the "edge" or on the device itself instead of being transmitted to a centralized processor. Edge computing systems usually involve a network of devices, sensors, or machinery capable of data processing and interconnection. A main benefit of edge computing is its low latency. Since each endpoint processes information near the source, it can be easier to process data, respond to requests, and produce detailed analytics.
The opportunity is to have more devices that are smart, adopting AI and [highlighting] the evolution of the original cloud AI with complementary support happening at the edge. We are able to grow the performance of platforms. Two things are converging: from one side, AI models are working with better performance [with a] reduced number of parameters, [and] at the edge, you can see more and more inference happening.
Beyond traditional connectivity, 6G wireless networks will become the fabric for physical AI, enabling billions of autonomous machines, vehicles, sensors and robots and significantly increasing demands for security and trust. Yet legacy wireless architectures were not designed to meet these requirements, creating challenges as networks increase in complexity.
AI and ML are critical for enabling autonomous, self-optimizing Wi-Fi networks capable of managing dense deployments and real-time performance demands. AI/ML reduces operational costs, improves reliability and security and delivers a more consistent quality of experience. Proprietary approaches, inconsistent data quality, and closed interfaces slow innovation and increase integration costs. Interoperable frameworks - not algorithms - will be key to success. Interoperability must include data models, telemetry, APIs, and model lifecycle management.