In what has been considered as an innovation that could trigger the rise of new 6G services, experts are now turning towards brain-inspired computing, also known as neuromorphic computing. This technology is anticipated to enhance the speed and efficiency of information transfer over networks.
Renowned engineers from King’s College London and Princeton, US have launched a project that takes inspiration from the human brain. The objective is to improve computing and networking to a point where the AI is more effectively integrated into wireless communication systems.
This exciting venture, backed by the Engineering and Physical Sciences Research Council (ESPRC) and the National Science Foundation in the US (NSF), is believed to have the potential to recreate the landscape around mobile health care, telecommunications, and robotics.
As per the details shared by King’s College, neuromorphic technology is something that can adapt and learn in real-time, using less energy. This pivotal technology can unlock new types of services and telecommunication assets. Leading stakeholders such as Intel Labs, Nvidia, and AccelerComm have been involved in a mission to ‘dive deep into the core principles, algorithms, and hardware co-design of neuromorphic communications.’
King’s College’s Professor Osvaldo Simeone stated that the “global 5G rollout marks a shift in telecom systems, which are transforming in order to cater to the transmission of intelligence between machines.” He pointed out that the design of today’s communications systems serves as generic bit pipes which just transmit and store information in bits. This, according to Simeone, limits existing networks from adapting to new situations or customizing their resource consumption based on the semantics of the information exchanged among the endpoints.
Furthering on this topic, Dr. Bipin Rajendran from the Department of Engineering at Kings College shared, “Neuromorphic systems are designed to replicate the behaviour of neural networks in the brain. Neuromorphic technology transmits information by using Spiking Neural Networks (SNNs).” These SNNs collect signals over time and release a spike once a certain limit is reached allowing for event-driven and efficient computations as the information is processed based on the demand.
Experts view the loose reference to ‘6G’ as still waiting for a fixed definition from the industry. However, in the current context, it simply signifies ‘future telecoms tech.’
With these forward-looking steps, the day might not be far when the omnipresence of AI, integrated with wireless communications produces wonders in the telecommunication ecosystem. Stay tuned for the latest industry news. Register for our newsletter here.
