
The EdgeCortix Blog
Where you find the latest thought leadership about AI and Edge technology.
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Posts about:
Artificial Intelligence


Multimodal Generative AI on Energy-Efficient Edge Processors

Dr. Sakyasingha Dasgupta
Edge computing will grow exponentially in the next few years, as more and more devices and applications demand low-latency, high-performance, and privacy-preserving computation at the edge of the network.

Efficient Edge AI Chips with Reconfigurable Accelerators

Nikolay Nez
DNA IP and MERA are a potent combination, reducing the hardware-specific knowledge OEMs would otherwise need to power AI applications efficiently.

Connecting Edge AI Software with PyTorch, TensorFlow Lite, and ONNX Models

Antonio Nevado
Data scientists and others may have concerns moving PyTorch, TensorFlow, and ONNX models to edge AI software applications – MERA makes it easy and is model-agnostic.

What is edge AI inference doing for more devices?

Jeffrey Grosman
AI inference is a common term - but what is edge AI inference? EdgeCortix provides an answer in terms of workloads, efficiency, and applications.

Scoping The AI Chip Landscape Part II: Linley Spring Processor Conference 2021 Highlights | EdgeCortix
EdgeCortix Inc.
This post will cover the artificial intelligence (AI) processors and technologies presented in the recent Spring Processor Conference 2021 organized by The Linley Group
