APPLICATIONS OF TECHNOLOGY: Incorporated into spintronic-based computer hardware as a method of transporting and storing information in antiferromagnetic (AFM) bits Non-local sensor BENEFITS: AFM switches perform faster and with less energy compared with ferromagnetic switches BACKGROUND: Past work has included researchers’ initial discovery of switching … [Read more...] about Non-local Antiferromagnetic Memory Storage 2022-013
Computing Sciences
Hecate: Data-driven, Machine Learning Augmented Dynamic Path Optimization for Network Performance 2021-010
APPLICATIONS OF TECHNOLOGY: Packet route calculation using real-time dynamic path optimization BENEFITS: Offers more reliable and optimal network performance compared to previous technologies BACKGROUND: Packet route calculation for traffic is routed through a large network based on label stack, such as in segment routing cases and SDN-controlled networks. … [Read more...] about Hecate: Data-driven, Machine Learning Augmented Dynamic Path Optimization for Network Performance 2021-010
Quantum Instruction Set Architecture (QUASAR) 2021-061
APPLICATIONS OF TECHNOLOGY: Quantum computing field for academia and industry Enables a large spectrum of experiments for AQT users BENEFITS: Designed with the idea of modularity and scalability and for large scale experiments in a cold environment Accompanied by various tools and solutions from RISC-V ecosystem BACKGROUND: As quantum computing … [Read more...] about Quantum Instruction Set Architecture (QUASAR) 2021-061
A Novel Design Method for On-Chip Superconducting Networks Using Race Logic 2021-009
APPLICATIONS OF TECHNOLOGY: Quantum Computing High performance computing (HPC) Machine learning National security computing BENEFITS: Implements both data and control paths using race logic Increases device performance per unit area Produces higher throughput per port per Josephson Junction compared to best performing state of the art on-chip … [Read more...] about A Novel Design Method for On-Chip Superconducting Networks Using Race Logic 2021-009
Discovery of Robust Cellular Morphometric Subtypes in Lower Grade Glioma through Machine Learning 2021-064
APPLICATIONS OF TECHNOLOGY: Identifying clinically significant subtypes for different tumors BENEFITS: Provides new knowledge that improves diagnosis and optimization of treatment Cost-effective compared with hematoxylin and eosin (H&E) stained histology sections Promises significant clinical value combined with well-known factors (i.e., clinical factors … [Read more...] about Discovery of Robust Cellular Morphometric Subtypes in Lower Grade Glioma through Machine Learning 2021-064