Current network functions build heavily on fixed programmed rules and lack capacity to
support more expressive learning models, eg brain-inspired Cognitive computational …

The Internet relies heavily on programmable match-action processors for matching network
packets against locally available network rules and taking actions, such as forwarding and …

The Internet makes use of high performance network switches in order to route network
traffic from end users to servers. Despite line-rate performance, the current switches …

Active Queue Management (AQM) algorithms are heavily used in packet processors to
maintain an optimal queue size and avoid issues like Bufferbloat. Despite the remarkable …

Current network functions consume a significant amount of energy and lack the capacity to
support more expressive learning models like neuromorphic functions. The major reason is …

Reducing transistor dimensions cannot sustain the growing demand for better technology.
To reduce the power consumption while increasing the technological performance we can …

The Internet heavily relies on packet processors for establishing the communication links
between senders and receivers of network traffic. Despite their promising performance, the …

The network systems build heavily on Active Queue Management (AQM) algorithms for
maintaining an optimal queue size and avoiding issues like Bufferbloat. Despite promising …