Functions in the network like firewalls and load balances and VPNs, things like this, that used to be in fixed function have moved up into software. With mobile infrastructure, 5G is really the first example of a network infrastructure that has moved from fixed function hardware up into software, and now all of the digital signal processing that used to take place on specialized devices takes place in software. The switches, the network interfaces, these new IPUs, they’re all moved from being fixed function to being programmable. So, their behavior is defined in software
the network in my home, the network in a factory, the network in a cloud, is all becoming more software-defined under software control. And as that happens, it gets you to ask a number of questions. First of all, if the network is software controlled, can I modify it and change it to do things that I want to do that I haven’t been able to do in the past? In the past, all the functions of networks were really locked down by and determined by standards and equipment manufacturers who had very little incentive to change.
Learning on the edge – A new technique enables AI models to continually learn from new data on intelligent edge devices like smartphones and sensors, reducing energy costs and privacy risks. This work is funded by the National Science Foundation, the MIT-IBM Watson AI Lab, the MIT AI Hardware Program, Amazon, Intel, Qualcomm, Ford Motor Company, and Google. – source: MIT.EDU