By Dr. Sakyasingha Dasgupta. The rapid development of artificial intelligence (AI) applications has created enormous demand for high-performance and energy-efficient computing systems. However, traditional homogeneous architectures based on Von

Multimodal Generative AI on Energy-Efficient Edge Processors

Jun 27th, 2023 6m 30s

By 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. However, o

再構成可能なアクセラレータを搭載した効率的なエッジAIチップ

Jun 26th, 2023 10m 30s

DNA IPとMERAの強力なコンビネーションで、ユーザーがAIアプリケーションを効率的に動かすためのハードウエア固有の特別な知識習得の必要性を減らすことができます。AI推論の話題の多くは、できるだけ早く多くの処理を提供することに焦点が当てられています。データセンターのように実質的に無制限の電力と冷却を備えた施設では、GPUベースの大きなシステムを実装することが可能です。しかし、データセンター以外の場所（広義では「エッジ」）にある組み込みシステムの制約が加わると、サイズ、重量、電力、

Efficient Edge AI Chips with Reconfigurable Accelerators

Jun 26th, 2023 7m 56s

By Nikolay Nez. DNA IP and MERA are a potent combination, reducing the hardware-specific knowledge OEMs would otherwise need to power AI applications efficiently. Much of the AI inference conversation focuses on delivering as many operations as

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

Jun 23rd, 2023 6m 31s

By 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. PyTorch, TensorFlow, and ONNX are familiar tools for many

What is edge AI inference doing for more devices?

Jun 22nd, 2023 7m 5s

By 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. Artificial intelligence (AI) is changing the rules for many applications. Team

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