by shi | Mar 30, 2024 | news
Cupertino, CA, March 30, 2024 – Aizip, Inc., a vanguard in artificial intelligence (AI) for endpoint devices, known as TinyML, is proud to announce today its achievement of several milestones in its cutting-edge AI-based Deep-Noise-Reduction (DNR) models, designed for...
by shi | Dec 15, 2023 | news
Cupertino, CA, December 15, 2023 — A breakthrough in artificial intelligence (AI), achieved by Aizip, in collaboration with scientists from Massachusetts Institute of Technology (MIT), University of California, Berkeley (UC Berkeley), University of California, San...
by adrianp | Sep 29, 2023 | news
Cupertino, CA, September 29, 2023 – Aizip, Inc. is pleased to announce the launch of an innovative defect detection product: Adaptable and Robust Anomaly Detection – Vision (ARAD-V). This deep neural network (DNN)-based new technology offers broad adaptability, high...
by adrianp | Jun 30, 2023 | news
Cupertino, CA, June 30, 2023 – Aizip, Inc, in collaboration with Analog Devices, today announced they have been jointly named a winner in the AI/ML category of the 2023 Best of Sensors Awards for SARAD-T: Scalable and Robust Anomaly Detection using Time-series for...
by adrianp | Mar 28, 2023 | news
Cupertino, CA, March 28, 2023 – Aizip, Inc., a leader in artificial intelligence (AI) for applications on the Internet of Things (IoT), also known as tiny machine learning (TinyML), announced today the Foundation Model for TinyML applications. Over the past few...
by razvan | Dec 20, 2022 | news
Cupertino, CA, December 20, 2022 – Aizip, Inc., a technology leader in artificial intelligence (AI) for applications on the Internet of Things (IoT), also known as tiny machine learning (TinyML), announced today the volume shipping of robust vision models. Computer...
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