MathWorks is the leading developer of mathematical computing software. MATLAB, the language of engineers and scientists, is a programming environment for algorithm development, data analysis, visualization, and numeric computation. During an interaction with Vidushi, Prashant Rao, Head of Application Engineering, MathWorks India discussed about edge AI Solutions and how MathWorks addresses them.
What current trends and technologies do you see as the primary drivers for the widespread adoption of edge AI across various industries? The primary drivers for the widespread adoption of edge AI across various industries include the development of more powerful microcontrollers (MCUS) and Digital Signal Processors (DSPs), the use of GPUs for training and running AI models, the introduction of AI Accelerator ASICS such as Neural Processing Units (NPUs), and the advancement of model compression techniques like pruning, quantization, knowledge distillation, and low-rank factorization. These technologies have made edge AI simpler and more economical to implement, enabling real-time inference and decision-making on edge devices without the need for constant internet connectivity.
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