POST-DIGITAL · European Training Network on Post-Digital Computing (Post-Digital)

European Training Network on Post-Digital Computing (Post-Digital)

POST-DIGITAL was a 4-year European Training Network (ETN) with 15 ESRs, focusing on state-of-the-art NON-DIGITAL COMPUTING IN UNCONVENTIONAL OPTICAL AND NEUROMORPHIC SUBSTRATES, in a radical departure from classical digital computing, training its PhD students in the inter-disciplinary fields of EMERGING DISRUPTIVE NEUROMORPHIC COMPUTATIONAL TECHNOLOGIES AND THEIR APPLICATIONS. Coordinated by Aston University (UK), the consortium united world-leading academic and industrial groups in disciplines such as machine learning, computer science, physical neural networks, reservoir computing, signal processing, optical communications, photonic implementation of computing systems, unconventional neuromorphic circuit and chip design, and fiber-optic technology. The strong industrial presence in the network provided ESRs with experience of practical applications and solutions beyond traditional digital methods, allowing them to develop into a new generation of scientific and industrial leaders, strengthening Europe’s human resources and industry competitiveness in the future post digital economy and technology. Our vision is that neuromorphic, brain- and nature-inspired technologies offer substantial advantages in terms of processing capabilities and power efficiency. We are confident that the project’s outcomes, including delivering 15 highly-trained researchers with strong potential to become the next generation of academic/industrial leaders, will bring about benefits for the development of faster processing, significantly higher bandwidth efficiency and adaptability through integration of self-learning systems. POST-DIGITAL and its ESRs have already made significant impact and are expected to continue to do so after POST-DIGITAL has ended: • delivered 90+ dissemination activities (peer-reviewed papers/conference talks/informal workshop and meeting talks) • gave 40+ presentations at prestigious international conferences • organised 27 scientific training events attended by 1150 external researchers • delivered 27 scientific outreach activities • completed 70+ months of inter-sectorial secondment • had a research proposal as Co- PI accepted • co-invented a US Patent US11574178B2: ‘Method and system for machine learning using optical data’ • co-founded the AI Development Platform Adaptive ML, and raised $20M seed investment • secured influential research internship at Google • received promotions in industry

Data: CORDIS, © European Union