by shi | Jul 23, 2024 | news
Cupertino, CA, July 23, 2024 – Aizip, Inc., in close collaboration with Renesas, announced today the demonstration of ultra-efficient small language models (SLMs) and compact AI agents on Arm-based micro-processor units (MPUs) for a wide range of applications in edge...
by shi | Jun 28, 2024 | news
Cupertino, CA, June 28, 2024 – Aizip, Inc., a technology and market leader in artificial intelligence (AI) for edge applications, today announced ultra-efficient small language models (SLMs) and compact AI agents for a broad range of applications in edge markets....
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...
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