The promise of automation and AI has always been one of a smarter, more capable network that gives people the time to focus on more strategic innovation.
5G will be a far more capable network than its predecessors; it will deliver speeds of up to 10 Gigabits per second (Gbps), which is 40 times faster than the current maximum speeds achievable on 4G.
By themselves, they only provide limited information, but by introducing localization and proximity detection, more complex operations can be performed and a more capable IoT network can be created.
But as handsets have become more capable, networks do not seem to have kept up.
A more capable team quite naturally produces better results.
A more capable sibling could have provided guidance in this.
Finally, expect the usual spate of internal hardware improvements, including a more capable camera, better network connectivity (802.11ac Wi-Fi and LTE-Advanced are reasonable expectations), a boosted processor (A8 generation of Apple's in-house system-on-a-chip) and more.
Overall, I feel like a more capable human.
So there is great interest in creating more capable neural networks that can push the boundaries of artificial intelligence even further.
With countless new connected opportunities ahead, and the continuing evolution to even faster, more capable 5G networks, it is now more critical than ever that our spectrum policies be as smart as the things they are meant to connect.
For example, one of the assumptions is that a node in the giant component of a network is more capable of disseminating information through the network than a node which is not in this component.
