SOURCE-LINKED INTELLIGENCE

FUSE2: TOPIC 1: EFFICIENT EDGE INFERENCE AND HETEROGENEOUS INTEGRATION IN SYSTEMS FOR HEALTH AND CHEMICAL SENSING -ARTIFICIAL INTELLIGENCE (AI) HAS LED TO GROUNDBREAKING PROGRESS IN TASKS SUCH AS IMAGE RECOGNITION, CLASS

USAspending · observation · Publication date unknown

FUSE2: TOPIC 1: EFFICIENT EDGE INFERENCE AND HETEROGENEOUS INTEGRATION IN SYSTEMS FOR HEALTH AND CHEMICAL SENSING -ARTIFICIAL INTELLIGENCE (AI) HAS LED TO GROUNDBREAKING PROGRESS IN TASKS SUCH AS IMAGE RECOGNITION, CLASSIFICATION, SPEECH, AND NATURAL LANGUAGE PROCESSING. HOWEVER, THE IMPLEMENTATION OF MACHINE LEARNING AI MODELS IS COSTLY IN TERMS OF ENERGY, STORAGE, AND COMPUTATION, MAKING THEM UNSUITABLE FOR INTEGRATION INTO RESOURCE-LIMITED SENSORS. WEIGHTLESS NEURAL NETWORKS (WNNS) REPRESENT A DISTINCT CLASS OF NEURAL MODELS INSPIRED BY THE PROCESSING OF INPUT SIGNALS BY BIOLOGICAL NEURON D

Read original source ↗ Open in workspace

recordType

award

region

US

value

1715924

unit

USD