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 base...

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 networ...

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...

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 deliver...

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 a...

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 fo...