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Powerful tiny AI engines for an intelligent world
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Powerful tiny AI engines for an intelligent world
Aizip Intelligent Vision
Aizip offers comprehensive DNNs for image/video applications, such as classification, face identification, and object detection.
Aizip Intelligent Audio
Aizip Intelligent Time-Series
Aizip develops TinyMLs for a variety of time-series-based applications, such as ECG, EEG, and preventive maintenance.
Aizip Intelligent Module
Aizip designs modules for sensor fusion applications, such as face recognition and speaker identification in one TinyML module.
Introducing Some of Our Partners
Powerful tiny AI engines for an intelligent world
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Aizip has teamed up with many more partners to provide intelligent solutions. Stay tuned for additional partnership announcements.
We build AI
Powerful tiny AI engines for an intelligent world
At Aizip, we’re building an AI nanofactory — Aizipline. By leveraging foundation models, generative models, self-supervised learning, and many other recent advancements, the AI model development cycle at Aizip can be accelerated by orders of magnitude. Aizip’s ultimate goal is to achieve complete AI design automation (ADA).
Aizip Announces Automated AI Design with Foundation Models
White Paper: The AI Nanofactory — Pervasive AI with AI Design Automation
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Powerful tiny AI engines for an intelligent world
About Us
Get to Know Our Company
Powerful tiny AI engines for an intelligent world
Aizip
Based in Silicon Valley, Aizip is a leader in model design of AI for IoT (AIoT). With its breakthrough neural network architecture and proprietary automated design tools, Aizip has demonstrated a wide range of deep neural networks (DNN) with superior performance. Since its founding in 2020, Aizip has designed and delivered TinyML models to its diverse customers worldwide.
TinyML
Information
AIoT Information
Powerful tiny AI engines for an intelligent world
Articles and Papers
tinyML Asia 2022 Weier Wan: Software Driven TinyML Hardware Co-Design
tinyML Talks: Processing-In-Memory for Efficient AI Inference at the Edge
BENCHMARKING TINYML SYSTEMS: CHALLENGES AND DIRECTION
MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers
Maxim Ultra-Low-Power Arm Cortex-M4 Processor
Conferences and Institutes