公开(公告)号：US20250156762A1

公开(公告)日：2025-05-15

申请号：US18944744

申请日：2024-11-12

Applicant: SRI International

Inventor： Aswin NADAMUNI RAGHAVAN ,  David Chao ZHANG ,  Saurabh FARKYA ,  Zachary Alan DANIELS ,  Michael PIACENTINO ,  Gooitzen S. VAN DER WAL ,  Philip MILLER ,  Michael Richard LOMNITZ ,  Abrar Abdullah RAHMAN ,  Edison MUCLLARI ,  Muhammad Shahir RAHMAN

IPC: G06N20/00

Abstract: A method, apparatus, and system for efficient machine learning with query-based knowledge assistance includes determining a state of data captured by a sensor in communication with a first edge device to determine if the captured data includes data that is out of distribution based on a trained inference model of the first edge device, if it is identified that an amount of out of distribution data in the captured data is preventing the trained inference model from making an accurate prediction, communicating a request for resources to a second edge device or a server to elicit a response from the second edge device or the server including resources required to update the trained inference model, receiving the requested resources, updating the trained inference model using the received resources, and making a prediction for the received captured data using the updated, trained inference model.

公开(公告)号：US20250069356A1

公开(公告)日：2025-02-27

申请号：US18815217

申请日：2024-08-26

Applicant: SRI International

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

IPC: G06V10/25 ,  G06V10/74

Abstract: A method, apparatus, and system for object detection on an edge device include projecting a hyperdimensional vector of a query request for an image received at the edge device into a hyperdimensional embedding space to identify at least one exemplar in the hyperdimensional embedding space having a predetermined measure of similarity to the query request using a network trained to: generate a respective hyperdimensional image vector and a respective hyperdimensional text vector for the image and received text descriptions of the image, generate a hyperdimensional query text vector of the query request, combine and embed respective ones of the hyperdimensional image vectors and the hyperdimensional text vectors into a hyperdimensional embedding space to generate respective exemplars, project the hyperdimensional query text vector into the hyperdimensional embedding space, and determine a similarity measure between the hyperdimensional query text vector and at least one of the respective exemplars.

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.

公开(公告)号：US20240249491A1

公开(公告)日：2024-07-25

申请号：US18560019

申请日：2022-05-11

Applicant: BASF COATINGS GMBH ,  SRI INTERNATIONAL

Inventor： Matthew Ian CHILDERS ,  Yunus Emre KURTOGLU ,  David BERENDS ,  Gregory W. FARIS ,  Garbis SALGIAN ,  Michael PIACENTINO

IPC: G06V10/145 ,  G06V10/141 ,  G06V10/143 ,  G06V10/74 ,  G06V10/88 ,  G06V20/80

CPC classification number: G06V10/145 ,  G06V10/141 ,  G06V10/143 ,  G06V10/761 ,  G06V10/895 ,  G06V20/80

Abstract: Disclosed herein are methods and systems for object recognition utilizing reflective light blocking. Further disclosed herein are systems and methods for recognition of at least one fluorescent object being present in a scene by using a light source including at least one illuminant and a bandpass filter for each illuminant of the light source, a sensor array including at least one light sensitive sensor and at least one filter selectively blocking the reflected light originating from illuminating the scene with the light source and allowing passage of luminescence originating from illuminating the scene with the light source into the at least one color sensitive sensor, and a processing unit for identifying the at least one object based on the data detected by the sensory array and known data on luminescence properties associated with known objects.