This program facilitates collaborative research 'from materials to architecture' aiming at establishing revolutionary and sustainable computing paradigms. The ultimate goal is to create revolutionary highly-efficient computing platforms to enable neuro-inspired cognitive and learning abilities which will be required to address the vast range of future data types and workloads. A hybrid platform is envisioned that will expand current programmable computational methodologies to include neuro-inspired cognitive and learning abilities, with dramatic improvements in energy efficiency.
This is a cross-disciplinary, collaborative research effort aimed at establishing a revolutionary and sustainable computing paradigm. The primary areas of research are:
- Revolutionary computing platforms co-optimized from architecture to devices to enable orders of magnitude improvement in energy efficiency;
- New processor architectures to support advanced deep learning algorithms;
- Neuro-inspired solutions for machine cognition.
E2CDA Projects Launched
On October 1, 2016, four new collaborative research projects launched—selected from the E2CDA joint solicitation with NSF and SRC’s NRI program, and managed within the EP3C thrust.
Current10 Research Tasks10 Universities22 Students19 Faculty Researchers22 Liaison Personnel
This Year53 Research Publications
Last Year54 Research Publications
Since Inception26 Research Tasks22 Universities63 Students41 Faculty Researchers70 Liaison Personnel278 Research Publications4 Patent Applications