📋 Tender Overview
Stochastic Spiking Wireless Multimodal Sensory Systems
Transforming Internet Of Things Energy Efficiency With Bio-Inspired Solutionsthe Rapid Expansion Of Internet Of Things Devices Is Placing Significant Pressure On Energy Resources. Traditional Sensor Systems Suffer From The Energy-Intensive Operation Of Sensing, Processing And Communications. Within This Context, The Erc-Funded Swims Project Seeks To Facilitate The Deployment Of A New Biology-Inspired Approach, Aiming To Dramatically Minimise Power Consumption. Swims Is Inspired By The Neural System Of A Bee And Its Spike Signals, Computation And Sensing. It Will Result In Unique, Energy-Efficient Multi-Modal Sensor Nodes Wirelessly Connected To The Cloud. Through Collaborative Efforts, Swims Endeavours To Present Demonstrators With Energy Consumption Reduced By Over 100 Times Compared To Current Standards, Representing A Substantial Advancement In Sensor System Design And Functionality.
Funded Under
European Research Council (Erc)
Total Cost
€ 13 525 608,00
Eu Contribution
€ 13 525 608,00
Coordinated By
Technische Universitaet Dresden
Germany
Start Date
1 January 2024
End Date
31 December 2029
Objective
SWIMS vision is to propose a bio-inspired paradigm change for the design and hardware of future smart wireless multimodal sensory systems that will operate with stochastic spikes, offering a breakthrough with unrivalled energy efficiency at system level, for event detections and communication. The scientific breakthroughs proposed here are sine qua non advancements for a sustainable deployment of billions of future Internet of Things nodes to support smart economy and society development, with large energy savings and limited impact on environment. The synergistic interaction of four complementary skilled PIs enables the realization of a radically-novel end-to-end stochastic analog spiking neuromorphic concept for SWIMS nodes, offering solutions to challenges of sensor spiking signal generation, processing and communication with disruptive innovations at all levels, inspired by the biological model of a small insect.
SWIMS involves many beyond state-of-the-art scientific advancements from technology to system level to enable a neuromorphic architecture with i) as input neuron layer, new heterostructure spiking sensor arrays based on transition metal oxides/2D semiconductor, covering infrared, ultraviolet, acoustic and electromagnetic detections, ii) hidden layers in tiny spiking neural networks based on novel CMOS Fe-FET concepts capable of efficiently dealing with inherent stochastic noise when processing spiking signals on-chip, iii) a spiking emitter as output layer for event-driven wireless transmission using optimized spike modulation and encoding, and iv) a modelling framework embedding stochastic effects in task-based electronic system design and biologically inspired recurrent neural networks.
The synergistic interaction will enable unique design and experimental
