公开(公告)号：US20250094810A1

公开(公告)日：2025-03-20

申请号：US18823282

申请日：2024-09-03

Applicant: SRI International

Inventor： Zachary A. DANIELS ,  Jun HU ,  Michael R. LOMNITZ ,  Philip MILLER ,  Aswin NADAMUNI RAGHAVAN ,  Yuzheng ZHANG ,  Michael PIACENTINO ,  David C. ZHANG ,  Michael ISNARDI ,  Saurabh FARKYA

IPC: G06N3/084

Abstract: Method and apparatus for processing input information using an adaptable and continually learning neural network architecture comprising an encoder, at least one adaptor and at least one reconfigurator. The encoder, at least one reconfigurator and at least one adaptor determine whether the input information is out-of-distribution or in-distribution. If the input information is in distribution, the architecture extracts features from the input information, creates hyperdimensional vectors representing the features and classifies the hyperdimensional vectors. If the input information is out of distribution, the architecture creates at least one adaptor to operate with the encoder and the at least one reconfigurator to extract features from the input information, create hyperdimensional vectors representing the features and classify the hyperdimensional vectors.